From 54e3e6b7c44280bfadb4f1db220487d5cc608f37 Mon Sep 17 00:00:00 2001 From: "David H. Hagan" Date: Sat, 6 Apr 2024 16:01:44 -0400 Subject: [PATCH 1/4] Data loading and caching functionality complete with tests --- README.md | 10 +- atmospy/__init__.py | 19 +- atmospy/_base.py | 0 atmospy/calendar.py | 18 + atmospy/distributions.py | 35 + atmospy/relational.py | 14 + atmospy/stats.py | 1323 +++++++++---------- atmospy/trends.py | 19 + atmospy/utils.py | 150 ++- atmospy/york.py | 6 - poetry.lock | 2632 ++++++++++++-------------------------- pyproject.toml | 36 +- tests/test_stats.py | 132 +- tests/test_utils.py | 82 ++ 14 files changed, 1849 insertions(+), 2627 deletions(-) create mode 100644 atmospy/_base.py create mode 100644 atmospy/calendar.py create mode 100644 atmospy/distributions.py create mode 100644 atmospy/relational.py create mode 100644 atmospy/trends.py delete mode 100644 atmospy/york.py create mode 100644 tests/test_utils.py diff --git a/README.md b/README.md index 62d98a5..f595a41 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# atmospy: visualization and analysis tools for air quality data in python +# atmospy: air quality data visualization [![PyPI version](https://badge.fury.io/py/quantaq-cli.svg)](https://badge.fury.io/py/atmospy) @@ -8,7 +8,7 @@ [![codecov](https://codecov.io/gh/quant-aq/atmospy/branch/master/graph/badge.svg)](https://codecov.io/gh/quant-aq/atmospy) -Atmospy is... +Atmospy is a Python visualization library based on matplotlib and seaborn. ## Documentation @@ -16,12 +16,14 @@ Docs are built using sphinx ## Dependencies +Atmospy supports Python 3.8+ + ## Installation ## Testing ## Development -Atmospy development takes place on GitHub: https://github.com/quant-aq/atmospy +Atmospy development takes place on GitHub: https://github.com/dhhagan/atmospy -Please submit bugs that you encounter to the [issue tracker](https://github.com/quant-aq/atmospy/issues) with a reproducible example that clearly demonstrates the problem. \ No newline at end of file +Please submit bugs that you encounter to the [issue tracker](https://github.com/dhhagan/atmospy/issues) with a reproducible example that clearly demonstrates the problem. \ No newline at end of file diff --git a/atmospy/__init__.py b/atmospy/__init__.py index 360b8fe..0373630 100644 --- a/atmospy/__init__.py +++ b/atmospy/__init__.py @@ -1,12 +1,19 @@ from pkg_resources import get_distribution -import warnings -import pandas as pd -import numpy as np -import math -import os +# import warnings +# import pandas as pd +# import numpy as np +# import math +# import os -from .york import * from .utils import * +from .calendar import * +from .relational import * +from .trends import * +# Capture the original matplotlib rcParams +import matplotlib as mpl +_orig_rc_params = mpl.rcParams.copy() + +# Determine the atmospy version __version__ = get_distribution('atmospy').version diff --git a/atmospy/_base.py b/atmospy/_base.py new file mode 100644 index 0000000..e69de29 diff --git a/atmospy/calendar.py b/atmospy/calendar.py new file mode 100644 index 0000000..a985616 --- /dev/null +++ b/atmospy/calendar.py @@ -0,0 +1,18 @@ +"""This file will contain figures for: + + 1. Calendar + 2. straight line calendar thing like Sentry? +""" +from .utils import ( + remove_na, +) +from seaborn import ( + FacetGrid, +) + +__all__ = ["calendarplot", ] + + +def calendarplot(): + """Calendar plot with func for faceting by week, month, year, etc""" + return \ No newline at end of file diff --git a/atmospy/distributions.py b/atmospy/distributions.py new file mode 100644 index 0000000..942f5ab --- /dev/null +++ b/atmospy/distributions.py @@ -0,0 +1,35 @@ +from .utils import ( + remove_na, +) +from seaborn import ( + FacetGrid, +) + +__all__ = ["psdplot", ] + + +def psdplot( + data=None, *, + x=None, y=None, row=None, col=None, + **kwargs +): + """Plot a particle size distribution. + + Parameters + ---------- + data : _type_, optional + _description_, by default None + x : _type_, optional + _description_, by default None + y : _type_, optional + _description_, by default None + row : _type_, optional + _description_, by default None + col : _type_, optional + _description_, by default None + """ + return + + +def bananaplot(): + return \ No newline at end of file diff --git a/atmospy/relational.py b/atmospy/relational.py new file mode 100644 index 0000000..ecf646b --- /dev/null +++ b/atmospy/relational.py @@ -0,0 +1,14 @@ +"""This file will contain regression figures. +""" +from .utils import ( + remove_na, +) +from seaborn import ( + FacetGrid, +) + +__all__ = ["regplot", ] + +def regplot(): + """Standard regression plot between two variables. + """ \ No newline at end of file diff --git a/atmospy/stats.py b/atmospy/stats.py index aac221e..d5cb7a1 100644 --- a/atmospy/stats.py +++ b/atmospy/stats.py @@ -1,729 +1,732 @@ -import numpy as np -import pandas as pd - -##### LOOKUP TABLES ##### -_stats_ = { - 'mae': "Mean Absolute Error", - 'mape': "Mean Absolute Percentage Error", - 'mbe': "Mean Bias Error", - 'rmse': "Root Mean Squared Error", - 'mdae': "Median Absolute Error", - 'r2_score': "R2 Score" -} - - -_pollutants_ = { - 'co': "Carbon Monoxide (CO)", - 'pb': "Lead (Pb)", - 'no2': r"Nitrogen Dioxide ($NO_2$)", - 'o3': r"Ozone ($O_3$)", - 'so2': r"Sulphur Dioxide ($SO_2$)", - 'pm25': r"Particulate Matter smaller than 2.5 $\mu$m", - 'pm10': r"Particulate Matter smaller than 10 $\mu$m", -} - -_units_ = { - 'co': "ppm", - 'pb': r"$\frac{\mu g}{m^3}$", - 'no2': "ppb", - 'o3': "ppm", - 'so2': "ppb", - 'pm25': r"$\frac{\mu g}{m^3}$", - 'pm10': r"$\frac{\mu g}{m^3}$", -} - -################################### -###### PREDICTIVE REGRESSION ###### -################################### - - -##### ERROR METRICS FUNCTIONS ##### - -EPSILON = 1e-10 - -def percentage_error(y_true, y_pred): - """ - Percentage error - Note: result is NOT multiplied by 100 - """ - return (y_true - y_pred) / (y_true + EPSILON) - -def mean_abs_pct_error(y_true, y_pred): - """ - Mean Absolute Percentage Error - Note: result is NOT multiplied by 100 - """ - return np.mean(np.abs(percentage_error(y_true, y_pred))) - -def mean_abs_error(y_true, y_pred): - """ - Mean absolute error - - """ - return np.mean(np.abs(y_true - y_pred)) - -def mean_bias_error(y_true, y_pred): - """ - Mean absolute error - - """ - return np.mean(y_true - y_pred) - -def mean_squared_error(y_true, y_pred): - """ - Mean squared error - """ - return np.mean(np.square(y_true - y_pred)) - -def root_mean_squared_error(y_true, y_pred): - """ - Root mean squared error - """ - return np.sqrt(mean_squared_error(y_true, y_pred)) - -def median_absolute_error(y_true, y_pred): - """ - Median Absolute Error - """ - return np.median(np.abs(y_true - y_pred)) - -def r2_score(y_true, y_pred): - """ - R^2 score -- adapted from sklearn documentation - """ - numerator = ((y_true - y_pred) ** 2).sum(axis=0) - denominator = ((y_true - np.average(y_true, axis=0)) ** 2).sum(axis=0) - - nonzero_denominator = denominator != 0 - nonzero_numerator = numerator != 0 - - valid_score = nonzero_denominator & nonzero_numerator - output_scores = np.ones(y_true.shape) - - output_scores[valid_score] = 1 - (numerator[valid_score] / - denominator[valid_score]) - - return np.average(output_scores) - -##### COMPUTING PREDICTIVE REGRESSION STATS ##### - -METRICS = { - 'mae': ("Mean Absolute Error", mean_abs_error), - 'mape': ("Mean Absolute Percentage Error", mean_abs_pct_error), - 'mbe': ("Mean Bias Error", mean_bias_error), - 'rmse': ("Root Mean Squared Error", root_mean_squared_error), - 'mdae': ("Median Absolute Error", median_absolute_error), - 'r2_score': ("R-squared", r2_score), -} - -def evaluate(y_true, y_pred, metrics=['mae', 'mape', 'mbe', 'rmse', 'mdae', 'r2_score']): - results = {} - for name in metrics: - if name.lower() in METRICS.keys(): - label, f = METRICS.get(name.lower()) - results[name.lower()] = f(y_true, y_pred) - # later on, add logging for values not in the dict +"""This file will be removed. +""" + +# import numpy as np +# import pandas as pd + +# ##### LOOKUP TABLES ##### +# _stats_ = { +# 'mae': "Mean Absolute Error", +# 'mape': "Mean Absolute Percentage Error", +# 'mbe': "Mean Bias Error", +# 'rmse': "Root Mean Squared Error", +# 'mdae': "Median Absolute Error", +# 'r2_score': "R2 Score" +# } + + +# _pollutants_ = { +# 'co': "Carbon Monoxide (CO)", +# 'pb': "Lead (Pb)", +# 'no2': r"Nitrogen Dioxide ($NO_2$)", +# 'o3': r"Ozone ($O_3$)", +# 'so2': r"Sulphur Dioxide ($SO_2$)", +# 'pm25': r"Particulate Matter smaller than 2.5 $\mu$m", +# 'pm10': r"Particulate Matter smaller than 10 $\mu$m", +# } + +# _units_ = { +# 'co': "ppm", +# 'pb': r"$\frac{\mu g}{m^3}$", +# 'no2': "ppb", +# 'o3': "ppm", +# 'so2': "ppb", +# 'pm25': r"$\frac{\mu g}{m^3}$", +# 'pm10': r"$\frac{\mu g}{m^3}$", +# } + +# ################################### +# ###### PREDICTIVE REGRESSION ###### +# ################################### + + +# ##### ERROR METRICS FUNCTIONS ##### + +# EPSILON = 1e-10 + +# def percentage_error(y_true, y_pred): +# """ +# Percentage error +# Note: result is NOT multiplied by 100 +# """ +# return (y_true - y_pred) / (y_true + EPSILON) + +# def mean_abs_pct_error(y_true, y_pred): +# """ +# Mean Absolute Percentage Error +# Note: result is NOT multiplied by 100 +# """ +# return np.mean(np.abs(percentage_error(y_true, y_pred))) + +# def mean_abs_error(y_true, y_pred): +# """ +# Mean absolute error + +# """ +# return np.mean(np.abs(y_true - y_pred)) + +# def mean_bias_error(y_true, y_pred): +# """ +# Mean absolute error + +# """ +# return np.mean(y_true - y_pred) + +# def mean_squared_error(y_true, y_pred): +# """ +# Mean squared error +# """ +# return np.mean(np.square(y_true - y_pred)) + +# def root_mean_squared_error(y_true, y_pred): +# """ +# Root mean squared error +# """ +# return np.sqrt(mean_squared_error(y_true, y_pred)) + +# def median_absolute_error(y_true, y_pred): +# """ +# Median Absolute Error +# """ +# return np.median(np.abs(y_true - y_pred)) + +# def r2_score(y_true, y_pred): +# """ +# R^2 score -- adapted from sklearn documentation +# """ +# numerator = ((y_true - y_pred) ** 2).sum(axis=0) +# denominator = ((y_true - np.average(y_true, axis=0)) ** 2).sum(axis=0) + +# nonzero_denominator = denominator != 0 +# nonzero_numerator = numerator != 0 + +# valid_score = nonzero_denominator & nonzero_numerator +# output_scores = np.ones(y_true.shape) + +# output_scores[valid_score] = 1 - (numerator[valid_score] / +# denominator[valid_score]) + +# return np.average(output_scores) + +# ##### COMPUTING PREDICTIVE REGRESSION STATS ##### + +# METRICS = { +# 'mae': ("Mean Absolute Error", mean_abs_error), +# 'mape': ("Mean Absolute Percentage Error", mean_abs_pct_error), +# 'mbe': ("Mean Bias Error", mean_bias_error), +# 'rmse': ("Root Mean Squared Error", root_mean_squared_error), +# 'mdae': ("Median Absolute Error", median_absolute_error), +# 'r2_score': ("R-squared", r2_score), +# } + +# def evaluate(y_true, y_pred, metrics=['mae', 'mape', 'mbe', 'rmse', 'mdae', 'r2_score']): +# results = {} +# for name in metrics: +# if name.lower() in METRICS.keys(): +# label, f = METRICS.get(name.lower()) +# results[name.lower()] = f(y_true, y_pred) +# # later on, add logging for values not in the dict - return results +# return results -def stats(**kwargs): - """ - Calculate statistics between two lists of data +# def stats(**kwargs): +# """ +# Calculate statistics between two lists of data - Accepts either a dataframe and column names, or two arrays +# Accepts either a dataframe and column names, or two arrays - Returns a dictionary of computed statistics +# Returns a dictionary of computed statistics - kwargs - ------ - :param data: dataframe containing atmospheric chemistry data to be compared - :type data: pandas Dataframe - :param x: column name within data, or array-like data input - :type x: str or array-like - :param y: column name within data, or array-like data input - :type y: str or array-like - :param metrics: list of metrics to be computed between x and y data - default options = ['mae', 'mbe', 'rmse', 'mdae', 'r2score'] - :type metrics: list +# kwargs +# ------ +# :param data: dataframe containing atmospheric chemistry data to be compared +# :type data: pandas Dataframe +# :param x: column name within data, or array-like data input +# :type x: str or array-like +# :param y: column name within data, or array-like data input +# :type y: str or array-like +# :param metrics: list of metrics to be computed between x and y data +# default options = ['mae', 'mbe', 'rmse', 'mdae', 'r2score'] +# :type metrics: list - Returns - ------- - z : dictionary of statistics +# Returns +# ------- +# z : dictionary of statistics - References - ---------- +# References +# ---------- - """ - x = kwargs.pop("x") - y = kwargs.pop("y") - data = kwargs.pop("data", None) +# """ +# x = kwargs.pop("x") +# y = kwargs.pop("y") +# data = kwargs.pop("data", None) - if data is not None: - #dataframe and column names - y_true = data[x] - y_pred = data[y] - elif isinstance(x, pd.Series) or isinstance(y, pd.Series): - #Series inputs - y_true = x.values - y_pred = y.values - else: - #array-like inputs - y_true = np.asarray(x) - y_pred = np.asarray(y) +# if data is not None: +# #dataframe and column names +# y_true = data[x] +# y_pred = data[y] +# elif isinstance(x, pd.Series) or isinstance(y, pd.Series): +# #Series inputs +# y_true = x.values +# y_pred = y.values +# else: +# #array-like inputs +# y_true = np.asarray(x) +# y_pred = np.asarray(y) - #same length error - if len(y_true) != len(y_pred): - raise ValueError("Inputs must have the same length") +# #same length error +# if len(y_true) != len(y_pred): +# raise ValueError("Inputs must have the same length") - #remove nans -- do we want to do this? and if so, is this the best way? - clean_y_true = y_true[(np.isnan(y_true)==False) & (np.isnan(y_pred)==False)] - clean_y_pred = y_pred[(np.isnan(y_true)==False) & (np.isnan(y_pred)==False)] +# #remove nans -- do we want to do this? and if so, is this the best way? +# clean_y_true = y_true[(np.isnan(y_true)==False) & (np.isnan(y_pred)==False)] +# clean_y_pred = y_pred[(np.isnan(y_true)==False) & (np.isnan(y_pred)==False)] - return evaluate(clean_y_true, clean_y_pred) +# return evaluate(clean_y_true, clean_y_pred) -def statstable(stats): - """ - Print calculated stats in an aesthetic table +# def statstable(stats): +# """ +# Print calculated stats in an aesthetic table - Inputs - ------ - :param stats: Statistical data calculated using the stats function - :type stats: dictionary +# Inputs +# ------ +# :param stats: Statistical data calculated using the stats function +# :type stats: dictionary - Returns - ------- - None --> prints a table of statistics - :: - """ - s = ' ' - print(13*s+"Error Statistics"+13*s) - print(42*'-') +# Returns +# ------- +# None --> prints a table of statistics +# :: +# """ +# s = ' ' +# print(13*s+"Error Statistics"+13*s) +# print(42*'-') - for key, value in stats.items(): - l = len(key) - print(_stats_[key]+s*(30 - len(_stats_[key]))+' = %#8.3f' % value) +# for key, value in stats.items(): +# l = len(key) +# print(_stats_[key]+s*(30 - len(_stats_[key]))+' = %#8.3f' % value) -################################### -######### EPA STATISTICS ########## -################################### +# ################################### +# ######### EPA STATISTICS ########## +# ################################### -##### SPECIAL EPA PREFERRED STATS ##### +# ##### SPECIAL EPA PREFERRED STATS ##### -def find_max_n(data, n): - """ - Find the n largest values in an array - """ - output = data.nlargest(n) +# def find_max_n(data, n): +# """ +# Find the n largest values in an array +# """ +# output = data.nlargest(n) - return output +# return output -def days_max_gt_std(data, std): - """ - Find the number of days where the maximum daily measurement is - above the standard used by the EPA +# def days_max_gt_std(data, std): +# """ +# Find the number of days where the maximum daily measurement is +# above the standard used by the EPA - Inputs - ------ - :param data: dataframe or Series with timestamp index and pollution data column. - should already be resampled to appropriate timebase - :type data: pd.DataFrame or pd.Series - :param std: standard value used by EPA - :type std: float +# Inputs +# ------ +# :param data: dataframe or Series with timestamp index and pollution data column. +# should already be resampled to appropriate timebase +# :type data: pd.DataFrame or pd.Series +# :param std: standard value used by EPA +# :type std: float - Returns - ------- - count: the number of days where the max value surpassed the standard - """ +# Returns +# ------- +# count: the number of days where the max value surpassed the standard +# """ - daily_max = data.groupby(data.index.floor('d')).max() +# daily_max = data.groupby(data.index.floor('d')).max() - count = daily_max[daily_max > std].count() +# count = daily_max[daily_max > std].count() - return count +# return count -def days_avg_gt_std(data, std): - """ - Find the number of days where the maximum hourly measurement is - above the 1-hour standard used by the EPA +# def days_avg_gt_std(data, std): +# """ +# Find the number of days where the maximum hourly measurement is +# above the 1-hour standard used by the EPA - Inputs - ------ - :param data: dataframe or Series with timestamp index and pollution data column. - should already be resampled to appropriate timebase - :type data: pd.DataFrame or pd.Series - :param std: standard value used by EPA - :type std: float +# Inputs +# ------ +# :param data: dataframe or Series with timestamp index and pollution data column. +# should already be resampled to appropriate timebase +# :type data: pd.DataFrame or pd.Series +# :param std: standard value used by EPA +# :type std: float - Returns - ------- - count: the number of days where the average value surpassed the standard - """ +# Returns +# ------- +# count: the number of days where the average value surpassed the standard +# """ - daily_avg = data.groupby(data.index.floor('d')).mean() +# daily_avg = data.groupby(data.index.floor('d')).mean() - count = daily_avg[daily_avg > std].count() +# count = daily_avg[daily_avg > std].count() - return count +# return count -def percentile_of_daily_max(data, pct): - """ - Find the nth percentile of daily maximum values for time-series data. +# def percentile_of_daily_max(data, pct): +# """ +# Find the nth percentile of daily maximum values for time-series data. - Inputs - ------ - :param data: dataframe or Series with timestamp index and pollution data column. - should already be resampled to appropriate timebase - :type data: pd.DataFrame or pd.Series - :param pct: percentile to be calculated - :type std: float +# Inputs +# ------ +# :param data: dataframe or Series with timestamp index and pollution data column. +# should already be resampled to appropriate timebase +# :type data: pd.DataFrame or pd.Series +# :param pct: percentile to be calculated +# :type std: float - Returns - ------- - value: percentile value - """ +# Returns +# ------- +# value: percentile value +# """ - daily_max = data.groupby(data.index.floor('d')).max() +# daily_max = data.groupby(data.index.floor('d')).max() - value = np.nanpercentile(daily_max, pct) +# value = np.nanpercentile(daily_max, pct) - return value +# return value -##### POLLUTANT SPECIFIC REPORTS ##### +# ##### POLLUTANT SPECIFIC REPORTS ##### -def co_stats(data): - """ - Compute the EPA monitoring report values for CO. Data should be in ppm. +# def co_stats(data): +# """ +# Compute the EPA monitoring report values for CO. Data should be in ppm. - Inputs - ------ - :param data: dataframe or Series with timestamp index and pollution data column. - should be resampled to 1h timebase - :type data: pd.DataFrame or pd.Series +# Inputs +# ------ +# :param data: dataframe or Series with timestamp index and pollution data column. +# should be resampled to 1h timebase +# :type data: pd.DataFrame or pd.Series - Returns - ------- - stats: dictionary of statistics - """ - # 1 hour statistics - - #Highest and second-highest daily max 1-hour values - max12_1h = find_max_n(data, 2) - - #Number of daily max 1-hour values that exceeded the level of the 1-hour standard - days_gt_std_1h = days_max_gt_std(data, 35) - - # 8 hour statistics - mean_8h = data.resample('8h').mean() - - #Highest and second-highest daily max 8-hour values - max12_8h = find_max_n(mean_8h, 2) - - #Number of daily max 1-hour values that exceeded the level of the 8-hour standard - days_gt_std_8h = days_max_gt_std(mean_8h, 9) - - stats = { - "co" : { - "1h" : { - "mean": np.nanmean(data), - "min": np.nanmin(data), - "max_1": max12_1h[0], - "max_2": max12_1h[1], - "pct_25": np.nanpercentile(data, 25), - "pct_75": np.nanpercentile(data, 75), - "pct_98": np.nanpercentile(data, 98), - "days_max_gt_std": days_gt_std_1h, - }, - "8h" : { - "mean": np.nanmean(mean_8h), - "min": np.nanmin(mean_8h), - "max_1": max12_8h[0], - "max_2": max12_8h[1], - "pct_25": np.nanpercentile(mean_8h, 25), - "pct_75": np.nanpercentile(mean_8h, 75), - "pct_98": np.nanpercentile(mean_8h, 98), - "days_max_gt_std": days_gt_std_8h, - } - } - } - - return stats - - -def no2_stats(data): - """ - Compute the EPA monitoring report values for NO2. Data should be in ppb. - - Inputs - ------ - :param data: dataframe or Series with timestamp index and pollution data column. - should be resampled to 1h timebase - :type data: pd.DataFrame or pd.Series +# Returns +# ------- +# stats: dictionary of statistics +# """ +# # 1 hour statistics + +# #Highest and second-highest daily max 1-hour values +# max12_1h = find_max_n(data, 2) + +# #Number of daily max 1-hour values that exceeded the level of the 1-hour standard +# days_gt_std_1h = days_max_gt_std(data, 35) + +# # 8 hour statistics +# mean_8h = data.resample('8h').mean() + +# #Highest and second-highest daily max 8-hour values +# max12_8h = find_max_n(mean_8h, 2) + +# #Number of daily max 1-hour values that exceeded the level of the 8-hour standard +# days_gt_std_8h = days_max_gt_std(mean_8h, 9) + +# stats = { +# "co" : { +# "1h" : { +# "mean": np.nanmean(data), +# "min": np.nanmin(data), +# "max_1": max12_1h[0], +# "max_2": max12_1h[1], +# "pct_25": np.nanpercentile(data, 25), +# "pct_75": np.nanpercentile(data, 75), +# "pct_98": np.nanpercentile(data, 98), +# "days_max_gt_std": days_gt_std_1h, +# }, +# "8h" : { +# "mean": np.nanmean(mean_8h), +# "min": np.nanmin(mean_8h), +# "max_1": max12_8h[0], +# "max_2": max12_8h[1], +# "pct_25": np.nanpercentile(mean_8h, 25), +# "pct_75": np.nanpercentile(mean_8h, 75), +# "pct_98": np.nanpercentile(mean_8h, 98), +# "days_max_gt_std": days_gt_std_8h, +# } +# } +# } + +# return stats + + +# def no2_stats(data): +# """ +# Compute the EPA monitoring report values for NO2. Data should be in ppb. + +# Inputs +# ------ +# :param data: dataframe or Series with timestamp index and pollution data column. +# should be resampled to 1h timebase +# :type data: pd.DataFrame or pd.Series - Returns - ------- - stats: dictionary of statistics - """ - - # 1 hour statistics - - #Highest and second-highest daily max 1-hour values - max12_1h = find_max_n(data, 2) - - # 98th percentile of daily max 1hr values - pct_98_daily_max = percentile_of_daily_max(data, 98) - - stats = { - "no2": { - "1h": { - "mean": np.nanmean(data), - "min": np.nanmin(data), - "max_1": max12_1h[0], - "max_2": max12_1h[1], - "pct_25": np.nanpercentile(data, 25), - "pct_75": np.nanpercentile(data, 75), - "pct_98": np.nanpercentile(data, 98), - "pct_98_daily_max": pct_98_daily_max, - } - } - } - - return stats - - -def pb_stats(data): - """ - Compute the EPA monitoring report values for Pb. Data should be in micrograms per - cubic meter. - - Inputs - ------ - :param data: dataframe or Series with timestamp index and pollution data column. - should be resampled to 1h timebase - :type data: pd.DataFrame or pd.Series +# Returns +# ------- +# stats: dictionary of statistics +# """ + +# # 1 hour statistics + +# #Highest and second-highest daily max 1-hour values +# max12_1h = find_max_n(data, 2) + +# # 98th percentile of daily max 1hr values +# pct_98_daily_max = percentile_of_daily_max(data, 98) + +# stats = { +# "no2": { +# "1h": { +# "mean": np.nanmean(data), +# "min": np.nanmin(data), +# "max_1": max12_1h[0], +# "max_2": max12_1h[1], +# "pct_25": np.nanpercentile(data, 25), +# "pct_75": np.nanpercentile(data, 75), +# "pct_98": np.nanpercentile(data, 98), +# "pct_98_daily_max": pct_98_daily_max, +# } +# } +# } + +# return stats + + +# def pb_stats(data): +# """ +# Compute the EPA monitoring report values for Pb. Data should be in micrograms per +# cubic meter. + +# Inputs +# ------ +# :param data: dataframe or Series with timestamp index and pollution data column. +# should be resampled to 1h timebase +# :type data: pd.DataFrame or pd.Series - Returns - ------- - stats: dictionary of statistics - """ - # 24 hour statistics - mean_24h = data.resample('24h').mean() - - #Highest, second-highest, third-highest, and fourth-highest daily max 24-hour values - max1234 = find_max_n(data, 4) - - stats = { - "pb": { - "24h": { - "mean": np.nanmean(mean_24h), - "min": np.nanmin(mean_24h), - "max_1": max1234[0], - "max_2": max1234[1], - "max_3": max1234[2], - "max_4": max1234[3], - "pct_25": np.nanpercentile(mean_24h, 25), - "pct_75": np.nanpercentile(mean_24h, 75), - "pct_98": np.nanpercentile(mean_24h, 98), - } - } - } - - return stats - - -def o3_stats(data): - """ - Compute the EPA monitoring report values for Pb. Data should be in ppm. - - Inputs - ------ - :param data: dataframe or Series with timestamp index and pollution data column. - should be resampled to 1h timebase - :type data: pd.DataFrame or pd.Series +# Returns +# ------- +# stats: dictionary of statistics +# """ +# # 24 hour statistics +# mean_24h = data.resample('24h').mean() + +# #Highest, second-highest, third-highest, and fourth-highest daily max 24-hour values +# max1234 = find_max_n(data, 4) + +# stats = { +# "pb": { +# "24h": { +# "mean": np.nanmean(mean_24h), +# "min": np.nanmin(mean_24h), +# "max_1": max1234[0], +# "max_2": max1234[1], +# "max_3": max1234[2], +# "max_4": max1234[3], +# "pct_25": np.nanpercentile(mean_24h, 25), +# "pct_75": np.nanpercentile(mean_24h, 75), +# "pct_98": np.nanpercentile(mean_24h, 98), +# } +# } +# } + +# return stats + + +# def o3_stats(data): +# """ +# Compute the EPA monitoring report values for Pb. Data should be in ppm. + +# Inputs +# ------ +# :param data: dataframe or Series with timestamp index and pollution data column. +# should be resampled to 1h timebase +# :type data: pd.DataFrame or pd.Series - Returns - ------- - stats: dictionary of statistics - """ - - # 1 hour statistics - - #Highest, second-highest, third-highest, and fourth-highest daily max 1-hour values - max1234_1h = find_max_n(data, 4) - - #Number of daily max 1-hour values that exceeded the level of the 1-hour standard - days_gt_std_1h = days_max_gt_std(data, 0.12) - - # 8 hour statistics - mean_8h = data.resample('8h').mean() - - #Highest, second-highest, third-highest, and fourth-highest daily max 8-hour values - max1234_8h = find_max_n(mean_8h, 4) - - #Number of daily max 1-hour values that exceeded the level of the 8-hour standard - days_gt_std_8h = days_max_gt_std(mean_8h, 0.07) - - - stats = { - "o3" : { - "1h" : { - "mean": np.nanmean(data), - "min": np.nanmin(data), - "max_1": max1234_1h[0], - "max_2": max1234_1h[1], - "max_3": max1234_1h[2], - "max_4": max1234_1h[3], - "pct_25": np.nanpercentile(data, 25), - "pct_75": np.nanpercentile(data, 75), - "pct_98": np.nanpercentile(data, 98), - "days_max_gt_std": days_gt_std_1h, - }, - "8h" : { - "mean": np.nanmean(mean_8h), - "min": np.nanmin(mean_8h), - "max_1": max1234_8h[0], - "max_2": max1234_8h[1], - "max_3": max1234_8h[2], - "max_4": max1234_8h[3], - "pct_25": np.nanpercentile(mean_8h, 25), - "pct_75": np.nanpercentile(mean_8h, 75), - "pct_98": np.nanpercentile(mean_8h, 98), - "days_max_gt_std": days_gt_std_8h, - } - } - } - - return stats - - -def so2_stats(data): - """ - Compute the EPA monitoring report values for SO2. Data should be in ppm. - - Inputs - ------ - :param data: dataframe or Series with timestamp index and pollution data column. - should be resampled to 1h timebase - :type data: pd.DataFrame or pd.Series +# Returns +# ------- +# stats: dictionary of statistics +# """ + +# # 1 hour statistics + +# #Highest, second-highest, third-highest, and fourth-highest daily max 1-hour values +# max1234_1h = find_max_n(data, 4) + +# #Number of daily max 1-hour values that exceeded the level of the 1-hour standard +# days_gt_std_1h = days_max_gt_std(data, 0.12) + +# # 8 hour statistics +# mean_8h = data.resample('8h').mean() + +# #Highest, second-highest, third-highest, and fourth-highest daily max 8-hour values +# max1234_8h = find_max_n(mean_8h, 4) + +# #Number of daily max 1-hour values that exceeded the level of the 8-hour standard +# days_gt_std_8h = days_max_gt_std(mean_8h, 0.07) + + +# stats = { +# "o3" : { +# "1h" : { +# "mean": np.nanmean(data), +# "min": np.nanmin(data), +# "max_1": max1234_1h[0], +# "max_2": max1234_1h[1], +# "max_3": max1234_1h[2], +# "max_4": max1234_1h[3], +# "pct_25": np.nanpercentile(data, 25), +# "pct_75": np.nanpercentile(data, 75), +# "pct_98": np.nanpercentile(data, 98), +# "days_max_gt_std": days_gt_std_1h, +# }, +# "8h" : { +# "mean": np.nanmean(mean_8h), +# "min": np.nanmin(mean_8h), +# "max_1": max1234_8h[0], +# "max_2": max1234_8h[1], +# "max_3": max1234_8h[2], +# "max_4": max1234_8h[3], +# "pct_25": np.nanpercentile(mean_8h, 25), +# "pct_75": np.nanpercentile(mean_8h, 75), +# "pct_98": np.nanpercentile(mean_8h, 98), +# "days_max_gt_std": days_gt_std_8h, +# } +# } +# } + +# return stats + + +# def so2_stats(data): +# """ +# Compute the EPA monitoring report values for SO2. Data should be in ppm. + +# Inputs +# ------ +# :param data: dataframe or Series with timestamp index and pollution data column. +# should be resampled to 1h timebase +# :type data: pd.DataFrame or pd.Series - Returns - ------- - stats: dictionary of statistics - """ - - # 1 hour statistics - - #Highest and second-highest daily max 1-hour values - max12_1h = find_max_n(data, 2) - - # 99th percentile of daily max 1hr values - pct_99_daily_max = percentile_of_daily_max(data, 99) - - #Number of daily max 1-hour values that exceeded the level of the 1-hour standard - days_gt_std_1h = days_max_gt_std(data, 0.075) - - - #24 hour statistics - mean_24h = data.resample('24h').mean() - - #Highest and second-highest daily max 24-hour values - max12_24h = find_max_n(mean_24h, 2) - - #Number of daily max 24-hour values that exceeded the level of the 24-hour standard - days_gt_std_24h = days_max_gt_std(mean_24h, 0.14) - - - stats = { - "so2" : { - "1h" : { - "mean": np.nanmean(data), - "min": np.nanmin(data), - "max_1": max12_1h[0], - "max_2": max12_1h[1], - "pct_25": np.nanpercentile(data, 25), - "pct_75": np.nanpercentile(data, 75), - "pct_98": np.nanpercentile(data, 98), - "pct_99_daily_max": pct_99_daily_max, - "days_max_gt_std": days_gt_std_1h, - }, - "24h" : { - "mean": np.nanmean(mean_24h), - "min": np.nanmin(mean_24h), - "max_1": max12_24h[0], - "max_2": max12_24h[1], - "pct_25": np.nanpercentile(mean_24h, 25), - "pct_75": np.nanpercentile(mean_24h, 75), - "pct_98": np.nanpercentile(mean_24h, 98), - "days_max_gt_std": days_gt_std_24h, - } - } - } - - return stats - - -def pm25_stats(data): - """ - Compute the EPA monitoring report values for PM 2.5. Data should be in micrograms per - cubic meter. - - Inputs - ------ - :param data: dataframe or Series with timestamp index and pollution data column. - should be resampled to 1h timebase - :type data: pd.DataFrame or pd.Series +# Returns +# ------- +# stats: dictionary of statistics +# """ + +# # 1 hour statistics + +# #Highest and second-highest daily max 1-hour values +# max12_1h = find_max_n(data, 2) + +# # 99th percentile of daily max 1hr values +# pct_99_daily_max = percentile_of_daily_max(data, 99) + +# #Number of daily max 1-hour values that exceeded the level of the 1-hour standard +# days_gt_std_1h = days_max_gt_std(data, 0.075) + + +# #24 hour statistics +# mean_24h = data.resample('24h').mean() + +# #Highest and second-highest daily max 24-hour values +# max12_24h = find_max_n(mean_24h, 2) + +# #Number of daily max 24-hour values that exceeded the level of the 24-hour standard +# days_gt_std_24h = days_max_gt_std(mean_24h, 0.14) + + +# stats = { +# "so2" : { +# "1h" : { +# "mean": np.nanmean(data), +# "min": np.nanmin(data), +# "max_1": max12_1h[0], +# "max_2": max12_1h[1], +# "pct_25": np.nanpercentile(data, 25), +# "pct_75": np.nanpercentile(data, 75), +# "pct_98": np.nanpercentile(data, 98), +# "pct_99_daily_max": pct_99_daily_max, +# "days_max_gt_std": days_gt_std_1h, +# }, +# "24h" : { +# "mean": np.nanmean(mean_24h), +# "min": np.nanmin(mean_24h), +# "max_1": max12_24h[0], +# "max_2": max12_24h[1], +# "pct_25": np.nanpercentile(mean_24h, 25), +# "pct_75": np.nanpercentile(mean_24h, 75), +# "pct_98": np.nanpercentile(mean_24h, 98), +# "days_max_gt_std": days_gt_std_24h, +# } +# } +# } + +# return stats + + +# def pm25_stats(data): +# """ +# Compute the EPA monitoring report values for PM 2.5. Data should be in micrograms per +# cubic meter. + +# Inputs +# ------ +# :param data: dataframe or Series with timestamp index and pollution data column. +# should be resampled to 1h timebase +# :type data: pd.DataFrame or pd.Series - Returns - ------- - stats: dictionary of statistics - """ - - #24 hour statistics - mean_24h = data.resample('24h').mean() - - #Highest, second-highest, third-highest, and fourth-highest daily max 1-hour values - max1234_24h = find_max_n(mean_24h, 4) - - stats = { - "pm25": { - "24h": { - "mean": np.nanmean(mean_24h), - "min": np.nanmin(mean_24h), - "max_1": max1234_24h[0], - "max_2": max1234_24h[1], - "max_3": max1234_24h[2], - "max_4": max1234_24h[3], - "pct_25": np.nanpercentile(mean_24h, 25), - "pct_75": np.nanpercentile(mean_24h, 75), - "pct_98": np.nanpercentile(mean_24h, 98), - } - } - } - - return stats - - -def pm10_stats(data): - """ - Compute the EPA monitoring report values for PM 10. Data should be in micrograms per - cubic meter. - - Inputs - ------ - :param data: dataframe or Series with timestamp index and pollution data column. - should be resampled to 1h timebase - :type data: pd.DataFrame or pd.Series +# Returns +# ------- +# stats: dictionary of statistics +# """ + +# #24 hour statistics +# mean_24h = data.resample('24h').mean() + +# #Highest, second-highest, third-highest, and fourth-highest daily max 1-hour values +# max1234_24h = find_max_n(mean_24h, 4) + +# stats = { +# "pm25": { +# "24h": { +# "mean": np.nanmean(mean_24h), +# "min": np.nanmin(mean_24h), +# "max_1": max1234_24h[0], +# "max_2": max1234_24h[1], +# "max_3": max1234_24h[2], +# "max_4": max1234_24h[3], +# "pct_25": np.nanpercentile(mean_24h, 25), +# "pct_75": np.nanpercentile(mean_24h, 75), +# "pct_98": np.nanpercentile(mean_24h, 98), +# } +# } +# } + +# return stats + + +# def pm10_stats(data): +# """ +# Compute the EPA monitoring report values for PM 10. Data should be in micrograms per +# cubic meter. + +# Inputs +# ------ +# :param data: dataframe or Series with timestamp index and pollution data column. +# should be resampled to 1h timebase +# :type data: pd.DataFrame or pd.Series - Returns - ------- - stats: dictionary of statistics - """ - - #24 hour statistics - mean_24h = data.resample('24h').mean() - - #Highest and second-highest daily max 1-hour values - max12_24h = find_max_n(mean_24h, 2) - - #Number of daily max 24-hour values that exceeded the level of the 24-hour standard - days_gt_std_24h = days_max_gt_std(mean_24h, 150) - - stats = { - "pm10": { - "24h": { - "mean": np.nanmean(mean_24h), - "min": np.nanmin(mean_24h), - "max_1": max12_24h[0], - "max_2": max12_24h[1], - "pct_25": np.nanpercentile(mean_24h, 25), - "pct_75": np.nanpercentile(mean_24h, 75), - "pct_98": np.nanpercentile(mean_24h, 98), - "days_max_gt_std": days_gt_std_24h, - } - } - } - - return stats - -##### COMPUTING EPA CHOSEN STATS ##### - -POLLUTANTS = { - 'co': co_stats, - 'pb': pb_stats, - 'no2': no2_stats, - 'o3': o3_stats, - 'so2': so2_stats, - 'pm25': pm25_stats, - 'pm10': pm10_stats -} - - -def EPAstats(df, col, pollutants=['co', 'no2', 'o3', 'pm10', 'pm25', 'so2'], tscol=None): - """ - Compute the EPA monitoring report statistics for chosen pollutants with any appropriate - time-series data. - EPA recognized pollutants: - CO, Pb, NO2, O3, SO2, PM2.5, PM10 - - Inputs - ------ - :param df: dataframe containing time series pollution data - :type data: pandas Dataframe - :param col: column name(s) within df that correspond(s) to chosen pollutants - :type col: str or list of str +# Returns +# ------- +# stats: dictionary of statistics +# """ + +# #24 hour statistics +# mean_24h = data.resample('24h').mean() + +# #Highest and second-highest daily max 1-hour values +# max12_24h = find_max_n(mean_24h, 2) + +# #Number of daily max 24-hour values that exceeded the level of the 24-hour standard +# days_gt_std_24h = days_max_gt_std(mean_24h, 150) + +# stats = { +# "pm10": { +# "24h": { +# "mean": np.nanmean(mean_24h), +# "min": np.nanmin(mean_24h), +# "max_1": max12_24h[0], +# "max_2": max12_24h[1], +# "pct_25": np.nanpercentile(mean_24h, 25), +# "pct_75": np.nanpercentile(mean_24h, 75), +# "pct_98": np.nanpercentile(mean_24h, 98), +# "days_max_gt_std": days_gt_std_24h, +# } +# } +# } + +# return stats + +# ##### COMPUTING EPA CHOSEN STATS ##### + +# POLLUTANTS = { +# 'co': co_stats, +# 'pb': pb_stats, +# 'no2': no2_stats, +# 'o3': o3_stats, +# 'so2': so2_stats, +# 'pm25': pm25_stats, +# 'pm10': pm10_stats +# } + + +# def EPAstats(df, col, pollutants=['co', 'no2', 'o3', 'pm10', 'pm25', 'so2'], tscol=None): +# """ +# Compute the EPA monitoring report statistics for chosen pollutants with any appropriate +# time-series data. +# EPA recognized pollutants: +# CO, Pb, NO2, O3, SO2, PM2.5, PM10 + +# Inputs +# ------ +# :param df: dataframe containing time series pollution data +# :type data: pandas Dataframe +# :param col: column name(s) within df that correspond(s) to chosen pollutants +# :type col: str or list of str - Optional Inputs - --------------- - :param pollutants: list of pollutants to be computed - default options = ['co', 'no2', 'o3', 'pm10', 'pm25', 'so2'] - :type pollutants: str or list of str - :param tscol: column name within df that is the timestamp column. Must be pd.Datetime Series - If left as None, then timestamp is assumed to be df.index - :type tscol: str - - Returns - ------- - z : dictionary of statistics +# Optional Inputs +# --------------- +# :param pollutants: list of pollutants to be computed +# default options = ['co', 'no2', 'o3', 'pm10', 'pm25', 'so2'] +# :type pollutants: str or list of str +# :param tscol: column name within df that is the timestamp column. Must be pd.Datetime Series +# If left as None, then timestamp is assumed to be df.index +# :type tscol: str + +# Returns +# ------- +# z : dictionary of statistics - References - ---------- - EPA monitoring report statistics: - https://www.epa.gov/outdoor-air-quality-data/about-air-data-reports#con +# References +# ---------- +# EPA monitoring report statistics: +# https://www.epa.gov/outdoor-air-quality-data/about-air-data-reports#con - EPA Standard Pollution Levels: - https://www.epa.gov/criteria-air-pollutants/naaqs-table +# EPA Standard Pollution Levels: +# https://www.epa.gov/criteria-air-pollutants/naaqs-table - """ - if isinstance(col, str): - col = list(col) +# """ +# if isinstance(col, str): +# col = list(col) - # If timestamp column isn't given, we assume the index to be DatetimeIndex - if tscol is None: - data = df[col].copy(deep=True) - else: - tscol = list(tscol) - data = df[tscol+col].copy(deep=True) - data.set_index(tscol, inplace=True) +# # If timestamp column isn't given, we assume the index to be DatetimeIndex +# if tscol is None: +# data = df[col].copy(deep=True) +# else: +# tscol = list(tscol) +# data = df[tscol+col].copy(deep=True) +# data.set_index(tscol, inplace=True) - data.index = pd.DatetimeIndex(data.index) - data = data.resample('1h').mean() +# data.index = pd.DatetimeIndex(data.index) +# data = data.resample('1h').mean() - stats = {} - for i,p in enumerate(col): - temp = data[col[i]] - stats.update(POLLUTANTS[p](temp)) +# stats = {} +# for i,p in enumerate(col): +# temp = data[col[i]] +# stats.update(POLLUTANTS[p](temp)) - reform = {(outerKey, innerKey): values for outerKey, innerDict in stats.items() for innerKey, values in innerDict.items()} +# reform = {(outerKey, innerKey): values for outerKey, innerDict in stats.items() for innerKey, values in innerDict.items()} - return reform +# return reform diff --git a/atmospy/trends.py b/atmospy/trends.py new file mode 100644 index 0000000..4493b71 --- /dev/null +++ b/atmospy/trends.py @@ -0,0 +1,19 @@ +from .utils import ( + remove_na, +) +from seaborn import ( + FacetGrid, +) + +__all__ = ["dielplot", ] + + +def dielplot(): + """_summary_ + Diurnal on a strictly 24-h basis. Should be + - able to be continuous with or without err bars + - able to be a box plot with/wo whiskers + - properly labeled + - should assume a timeseries and do the math + """ + return \ No newline at end of file diff --git a/atmospy/utils.py b/atmospy/utils.py index 557539c..55b5dc0 100644 --- a/atmospy/utils.py +++ b/atmospy/utils.py @@ -1,32 +1,140 @@ - """[summary] - """ +"""Utility functions for internal use.""" -def stats(data, **kwargs): - """[summary] - Calculate MAE, RMSE, MBE, R2 Score +"""Utility functions to add: + - load dataset: https://github.com/mwaskom/seaborn/blob/master/seaborn/utils.py#L524 + - +""" +import os +from urllib.request import ( + urlopen, + urlretrieve +) +from seaborn.external.appdirs import user_cache_dir +import pandas as pd - Accepts either a dataframe and column names, or two arrays +DATASET_SOURCE = "https://raw.githubusercontent.com/dhhagan/atmospy-data/main" +DATASET_NAMES_URL = f"{DATASET_SOURCE}/dataset_names.txt" - Args: - data ([type]): [description] +def get_dataset_names(): + """List the avaiable sample datasets. + + Requires an internet connection. """ - x = kwargs.pop("x") - y = kwargs.pop("y") + with urlopen(DATASET_NAMES_URL) as resp: + txt = resp.read() + + dataset_names = [name.strip() for name in txt.decode().split("\n")] + + return list(filter(None, dataset_names)) - return +def get_data_home(data_home=None): + """Return a path to the cache directory for the sample datasets. + + If the ``data_home`` argument is not provided and the `ATMOSPY_DATA` + environment variable is not set, an OS-appropriate folder will be created + and used. + + Parameters + ---------- + data_home : Path, optional + A path to store cached datasets, by default None + """ + if data_home is None: + data_home = os.environ.get("ATMOSPY_DATA", user_cache_dir("atmospy")) + + data_home = os.path.expanduser(data_home) + if not os.path.exists(data_home): + os.makedirs(data_home) + + return data_home -def epastats(data, **kwargs): - """[summary] +def load_dataset(name, cache=True, data_home=None, **kwargs): + """Load an example dataset from the online repository. + + TODO: Add proper docs. - Args: - data ([type]): [description] + Parameters + ---------- + name : _type_ + _description_ + cache : bool, optional + _description_, by default True + data_home : _type_, optional + _description_, by default None + + Returns + ------- + df : :classL`pandas.DataFrame` + Tabular data. + """ + if not isinstance(name, str): + err = ( + "This function only accepts strings and the string must be one of the example datasets.", + ) + raise TypeError(err) + + available_dataset_names = get_dataset_names() + if name not in available_dataset_names: + raise ValueError(f"{name} is not a valid option. Please choose one of {available_dataset_names}.") + + url = f"{DATASET_SOURCE}/{name}.csv" + + if cache: + cache_path = os.path.join(get_data_home(data_home), os.path.basename(url)) + + # Check for the existence of a locally cached version + if not os.path.exists(cache_path): + urlretrieve(url, cache_path) + + full_path = cache_path + else: + full_path = url + + # Load the data into a DataFrame + df = pd.read_csv(full_path, **kwargs) + + # Here is where we can/should place any dataset-dependent modifications + if name == "us-ozone": + df["Timestamp GMT"] = pd.to_datetime(df["Timestamp GMT"]) + + if name == "us-bc": + df["Timestamp GMT"] = pd.to_datetime(df["Timestamp GMT"]) + + return df + +def remove_na(vec): return -def statstable(stats, **kwargs): - """[summary] +def regressionstats(): + return - Args: - stats ([type]): [description] - """ - return \ No newline at end of file +# def stats(data, **kwargs): +# """[summary] +# Calculate MAE, RMSE, MBE, R2 Score + +# Accepts either a dataframe and column names, or two arrays + +# Args: +# data ([type]): [description] +# """ +# x = kwargs.pop("x") +# y = kwargs.pop("y") + +# return + +# def epastats(data, **kwargs): +# """[summary] + +# Args: +# data ([type]): [description] +# """ +# return + +# def statstable(stats, **kwargs): +# """[summary] + +# Args: +# stats ([type]): [description] +# """ +# return \ No newline at end of file diff --git a/atmospy/york.py b/atmospy/york.py deleted file mode 100644 index 01ed492..0000000 --- a/atmospy/york.py +++ /dev/null @@ -1,6 +0,0 @@ -""" -""" -def yorkfit(x, y, **kwargs): - """ - """ - pass \ No newline at end of file diff --git a/poetry.lock b/poetry.lock index 83f29d4..c93d2ad 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,1971 +1,907 @@ -[[package]] -name = "alabaster" -version = "0.7.12" -description = "A configurable sidebar-enabled Sphinx theme" -category = "dev" -optional = false -python-versions = "*" +# This file is automatically @generated by Poetry and should not be changed by hand. 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def setUp(self): - pass +# def setUp(self): +# pass - def tearDown(self): - pass +# def tearDown(self): +# pass - def test_regression(self): - # load some data - test = pd.read_csv( - os.path.join(datadir,'regression_test.csv') - ) - assert isinstance(test, pd.DataFrame) +# def test_regression(self): +# # load some data +# test = pd.read_csv( +# os.path.join(datadir,'regression_test.csv') +# ) +# assert isinstance(test, pd.DataFrame) - # list, np array, series, df[col] test cases +# # list, np array, series, df[col] test cases - #pd.DataFrame and column names case - self.test_generic(x='internal', y='reference', data=test) +# #pd.DataFrame and column names case +# self.test_generic(x='internal', y='reference', data=test) - #pd.Series case - self.test_generic(x=test['internal'], y=test['reference']) +# #pd.Series case +# self.test_generic(x=test['internal'], y=test['reference']) - #arrays case - self.test_generic(x=test['internal'].to_numpy(), y=test['reference'].to_numpy()) +# #arrays case +# self.test_generic(x=test['internal'].to_numpy(), y=test['reference'].to_numpy()) - #list case - self.test_generic(x=test['internal'].to_list(), y=test['reference'].to_list()) +# #list case +# self.test_generic(x=test['internal'].to_list(), y=test['reference'].to_list()) - def test_generic(self, **kwargs): - #load kwargs - x = kwargs.pop("x") - y = kwargs.pop("y") - data = kwargs.pop("data", None) - statstest = stats.stats(x=x, y=y, data=data) - - #make sure all data is there in correct format - self.assertIsInstance(statstest, dict) - self.assertTrue("mae" in statstest.keys()) - #still need to add - #self.assertTrue("cvmae" in statstest.keys()) - self.assertTrue("mape" in statstest.keys()) - self.assertTrue("mbe" in statstest.keys()) - self.assertTrue("rmse" in statstest.keys()) - self.assertTrue("mdae" in statstest.keys()) - self.assertTrue("r2_score" in statstest.keys()) - - #make sure the values are correct - self.assertGreaterEqual(statstest["mae"], 3.0) - self.assertLessEqual(statstest["mae"], 3.1) - self.assertGreaterEqual(statstest["mape"], 0.31) - self.assertLessEqual(statstest["mape"], 0.33) - self.assertGreaterEqual(statstest["mbe"], 2.9) - self.assertLessEqual(statstest["mbe"], 3.1) - self.assertGreaterEqual(statstest["rmse"], 3.7) - self.assertLessEqual(statstest["rmse"], 3.8) - self.assertGreaterEqual(statstest["mdae"], 2.5) - self.assertLessEqual(statstest["mdae"], 2.6) - self.assertGreaterEqual(statstest["r2_score"], 0.35) - self.assertLessEqual(statstest["r2_score"], 0.37) - - - def test_epa(self): - #load some data - test = pd.read_csv( - os.path.join(datadir,'epa_test.csv') - ) - assert isinstance(test, pd.DataFrame) +# def test_generic(self, **kwargs): +# #load kwargs +# x = kwargs.pop("x") +# y = kwargs.pop("y") +# data = kwargs.pop("data", None) +# statstest = stats.stats(x=x, y=y, data=data) + +# #make sure all data is there in correct format +# self.assertIsInstance(statstest, dict) +# self.assertTrue("mae" in statstest.keys()) +# #still need to add +# #self.assertTrue("cvmae" in statstest.keys()) +# self.assertTrue("mape" in statstest.keys()) +# self.assertTrue("mbe" in statstest.keys()) +# self.assertTrue("rmse" in statstest.keys()) +# self.assertTrue("mdae" in statstest.keys()) +# self.assertTrue("r2_score" in statstest.keys()) + +# #make sure the values are correct +# self.assertGreaterEqual(statstest["mae"], 3.0) +# self.assertLessEqual(statstest["mae"], 3.1) +# self.assertGreaterEqual(statstest["mape"], 0.31) +# self.assertLessEqual(statstest["mape"], 0.33) +# self.assertGreaterEqual(statstest["mbe"], 2.9) +# self.assertLessEqual(statstest["mbe"], 3.1) +# self.assertGreaterEqual(statstest["rmse"], 3.7) +# self.assertLessEqual(statstest["rmse"], 3.8) +# self.assertGreaterEqual(statstest["mdae"], 2.5) +# self.assertLessEqual(statstest["mdae"], 2.6) +# self.assertGreaterEqual(statstest["r2_score"], 0.35) +# self.assertLessEqual(statstest["r2_score"], 0.37) + + +# def test_epa(self): +# #load some data +# test = pd.read_csv( +# os.path.join(datadir,'epa_test.csv') +# ) +# assert isinstance(test, pd.DataFrame) - return +# return diff --git a/tests/test_utils.py b/tests/test_utils.py new file mode 100644 index 0000000..254b417 --- /dev/null +++ b/tests/test_utils.py @@ -0,0 +1,82 @@ +"""Test the atmospy utility functions.""" +import tempfile +from urllib.request import urlopen +from http.client import HTTPException + +import pytest +import pandas as pd +from pandas.testing import ( + assert_series_equal, + assert_frame_equal, +) +from atmospy.utils import ( + get_dataset_names, + load_dataset, + DATASET_NAMES_URL +) + +def _network(t=None, url="https://github.com"): + """_summary_ + + Parameters + ---------- + t : _type_, optional + _description_, by default None + url : str, optional + _description_, by default "https://github.com" + """ + if t is None: + return lambda x: _network(x, url=url) + + def wrapper(*args, **kwargs): + try: + f = urlopen(url) + except (OSError, HTTPException): + pytest.skip("No internet connection.") + else: + f.close() + return t(*args, **kwargs) + + return wrapper + + +def check_load_dataset(name): + dataset = load_dataset(name, cache=False) + assert isinstance(dataset, pd.DataFrame) + +def check_load_cached_dataset(name): + with tempfile.TemporaryDirectory() as tmpdir: + dataset = load_dataset(name, cache=True, data_home=tmpdir) + + cached_dataset = load_dataset(name, cache=True, data_home=tmpdir) + + assert_frame_equal(dataset, cached_dataset) + +@_network(url=DATASET_NAMES_URL) +def test_get_dataset_names(): + names = get_dataset_names() + assert names + assert "us-ozone" in names + +@_network(url=DATASET_NAMES_URL) +def test_load_datasets(): + for name in get_dataset_names(): + check_load_dataset(name) + +@_network(url=DATASET_NAMES_URL) +def test_load_cached_dataset_names(): + for name in get_dataset_names(): + check_load_cached_dataset(name) + +@_network(url=DATASET_NAMES_URL) +def test_load_dataset_string_error(): + name = "invalid_name" + with pytest.raises(ValueError): + load_dataset(name) + +@_network(url=DATASET_NAMES_URL) +def test_load_dataset_type_error(): + name = pd.DataFrame() + + with pytest.raises(TypeError): + load_dataset(name) \ No newline at end of file From 0108a7a25f23071816796322cc08742fdbb036f3 Mon Sep 17 00:00:00 2001 From: "David H. Hagan" Date: Sun, 7 Apr 2024 22:11:09 -0400 Subject: [PATCH 2/4] Adds the first plot: dielplot --- .gitignore | 2 + README.md | 31 +- atmospy/__init__.py | 5 +- atmospy/rcmod.py | 41 + atmospy/trends.py | 103 +- atmospy/utils.py | 28 +- poetry.lock | 2315 +- pyproject.toml | 4 +- tests/datafiles/epa_test.csv | 2022 - tests/datafiles/regression_test.csv | 78532 -------------------------- tests/test_stats.py | 80 - tests/test_trends.py | 31 + 12 files changed, 2510 insertions(+), 80684 deletions(-) create mode 100644 atmospy/rcmod.py delete mode 100644 tests/datafiles/epa_test.csv delete mode 100644 tests/datafiles/regression_test.csv delete mode 100644 tests/test_stats.py create mode 100644 tests/test_trends.py diff --git a/.gitignore b/.gitignore index 5e0b605..51647c4 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,5 @@ +*.ipynb + *.DS_Store # Byte-compiled / optimized / DLL files diff --git a/README.md b/README.md index f595a41..454dce6 100644 --- a/README.md +++ b/README.md @@ -1,29 +1,44 @@ # atmospy: air quality data visualization -[![PyPI version](https://badge.fury.io/py/quantaq-cli.svg)](https://badge.fury.io/py/atmospy) -![PyPI - Python Version](https://img.shields.io/pypi/pyversions/atmospy) -[![license](https://img.shields.io/github/license/mashape/apistatus.svg)](https://github.com/quant-aq/atmospy/blob/master/LICENSE) + + ![run and build](https://github.com/quant-aq/atmospy/workflows/run%20and%20build/badge.svg?branch=main) -[![codecov](https://codecov.io/gh/quant-aq/atmospy/branch/master/graph/badge.svg)](https://codecov.io/gh/quant-aq/atmospy) + -Atmospy is a Python visualization library based on matplotlib and seaborn. +`atmospy` is a Python visualization library based on matplotlib and seaborn. ## Documentation -Docs are built using sphinx +Coming soon. ## Dependencies -Atmospy supports Python 3.8+ +### Supported Python versions + +`atmospy` supports Python 3.8+. + +### Mandatory dependencies + + * numpy + * pandas + * seaborn + * matplotlib ## Installation +The latest stable release can by installed by installing directly from Github: + +```sh +$ pip install git+https://github.com/dhhagan/atmospy.git +``` + ## Testing ## Development -Atmospy development takes place on GitHub: https://github.com/dhhagan/atmospy +`atmospy` development takes place on GitHub: https://github.com/dhhagan/atmospy Please submit bugs that you encounter to the [issue tracker](https://github.com/dhhagan/atmospy/issues) with a reproducible example that clearly demonstrates the problem. \ No newline at end of file diff --git a/atmospy/__init__.py b/atmospy/__init__.py index 0373630..a028046 100644 --- a/atmospy/__init__.py +++ b/atmospy/__init__.py @@ -1,4 +1,4 @@ -from pkg_resources import get_distribution +from importlib.metadata import version # import warnings # import pandas as pd @@ -10,10 +10,11 @@ from .calendar import * from .relational import * from .trends import * +from .rcmod import * # Capture the original matplotlib rcParams import matplotlib as mpl _orig_rc_params = mpl.rcParams.copy() # Determine the atmospy version -__version__ = get_distribution('atmospy').version +__version__ = version('atmospy') diff --git a/atmospy/rcmod.py b/atmospy/rcmod.py new file mode 100644 index 0000000..237b939 --- /dev/null +++ b/atmospy/rcmod.py @@ -0,0 +1,41 @@ +import seaborn as sns + +__all__ = ["set_theme"] + +def set_theme(context="notebook", style='white', palette='colorblind', + font='sans-serif', font_scale=1, color_codes=True, rc=None): + """_summary_ + + This mostly passes down to the seaborn function of the same name, but with a + few opinions mixed in. + + Parameters + ---------- + context : str, optional + _description_, by default "notebook" + style : str, optional + _description_, by default 'white' + palette : str, optional + _description_, by default 'colorblind' + font : str, optional + _description_, by default 'sans-serif' + font_scale : int, optional + _description_, by default 1 + color_codes : bool, optional + _description_, by default True + rc : _type_, optional + _description_, by default None + """ + default_rcparams = { + "mathtext.default": "regular" + } + + if rc is not None: + rc = dict(default_rcparams, **rc) + else: + rc = default_rcparams + + sns.set_theme( + context=context, style=style, palette=palette, + font=font, font_scale=font_scale, color_codes=color_codes, rc=rc + ) diff --git a/atmospy/trends.py b/atmospy/trends.py index 4493b71..b9b5799 100644 --- a/atmospy/trends.py +++ b/atmospy/trends.py @@ -1,19 +1,108 @@ +import matplotlib as mpl +import matplotlib.pyplot as plt +import seaborn as sns +import pandas as pd +import numpy as np from .utils import ( remove_na, ) from seaborn import ( FacetGrid, ) +from .utils import ( + check_for_numeric_cols, + check_for_timestamp_col +) __all__ = ["dielplot", ] -def dielplot(): +def dielplot(data, x, y, + ax=None, ylim=None, xlabel=None, ylabel=None, title=None, + plot_kws=None, **kwargs + ): """_summary_ - Diurnal on a strictly 24-h basis. Should be - - able to be continuous with or without err bars - - able to be a box plot with/wo whiskers - - properly labeled - - should assume a timeseries and do the math + + Parameters + ---------- + data : _type_ + _description_ + x : _type_ + _description_ + y : _type_ + _description_ + ax : _type_, optional + _description_, by default None + ylim : _type_, optional + _description_, by default None + xlabel : _type_, optional + _description_, by default None + ylabel : _type_, optional + _description_, by default None + title : _type_, optional + _description_, by default None + plot_kws : _type_, optional + _description_, by default None """ - return \ No newline at end of file + default_plot_kws = { + "lw": 3, + } + + # complete some initial data quality checks + check_for_timestamp_col(data, x) + check_for_numeric_cols(data, [y]) + + # + plot_kws = {} if plot_kws is None else dict(default_plot_kws, **plot_kws) + + # copy over only the needed data + _data = data[[x, y]].copy(deep=True) + _data = _data.set_index(x) + + # + # figure setup + if ax is None: + ax = plt.gca() + + # compute the diel statistics + stats = _data.groupby([_data.index.hour, _data.index.minute], as_index=False).describe() + + # build an index we can use to make the figure + index = stats.index.values + freq = int(60 / (index.size / 24)) + figure_index = pd.date_range(start='2020-01-01', periods=index.size, freq=f"{freq}min") + + # plot the diel average + ax.plot(figure_index, stats[y]['mean'], **plot_kws) + + # add the IQR as a shaded region + ax.fill_between( + figure_index, + y1=stats[y]['25%'], + y2=stats[y]['75%'], + alpha=0.25, + lw=2, + color=plt.gca().lines[-1].get_color() + ) + + # adjust plot parameters + xticks = ax.get_xticks() + ax.set_xticks(np.linspace(xticks[0], xticks[-1], 5)) + ax.set(xlim=(xticks[0], xticks[-1])) + ax.xaxis.set_major_formatter(mpl.dates.DateFormatter("%I:%M\n%p")) + ax.xaxis.set_minor_locator(mpl.dates.HourLocator(interval=1)) + + # add optional labels + if xlabel: + ax.set_xlabel(xlabel) + + if ylabel: + ax.set_ylabel(ylabel) + + if title: + ax.set_title(title) + + if ylim: + ax.set_ylim(ylim) + + return ax \ No newline at end of file diff --git a/atmospy/utils.py b/atmospy/utils.py index 55b5dc0..5923217 100644 --- a/atmospy/utils.py +++ b/atmospy/utils.py @@ -106,8 +106,32 @@ def load_dataset(name, cache=True, data_home=None, **kwargs): def remove_na(vec): return -def regressionstats(): - return +def check_for_timestamp_col(data, col): + """Make sure the column is a proper timestamp according to Pandas. + + Parameters + ---------- + data : pd.DataFrame + Tabular data containing `col`. + col : str + The name of the column to check. + """ + if not pd.core.dtypes.common.is_datetime64_any_dtype(data[col]): + raise TypeError(f"Column `{col}` is not a proper timestamp.") + +def check_for_numeric_cols(data, cols): + """Make sure the column(s) is/are numeric. + + Parameters + ---------- + data : pd.DataFrame + Tabular data containing `cols`. + cols : list + A list of column names to check. + """ + for col in cols: + if not pd.core.dtypes.common.is_numeric_dtype(data[col]): + raise TypeError(f"Column `{col}` is not numeric. 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">=3.7" +files = [ + {file = "widgetsnbextension-4.0.10-py3-none-any.whl", hash = "sha256:d37c3724ec32d8c48400a435ecfa7d3e259995201fbefa37163124a9fcb393cc"}, + {file = "widgetsnbextension-4.0.10.tar.gz", hash = "sha256:64196c5ff3b9a9183a8e699a4227fb0b7002f252c814098e66c4d1cd0644688f"}, +] + [[package]] name = "zipp" version = "3.18.1" @@ -904,4 +3159,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.8" -content-hash = "d2cf0517459edc7d16aaaf8fed951ee6aeba3cf17f3f583d991abc433093506d" +content-hash = "0bb82675c47e37bf8e11f0c025dae2c334fc909ed12f9504d3d09ee0b79487b5" diff --git a/pyproject.toml b/pyproject.toml index 7634d1c..e90734b 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "atmospy" -version = "0.1.0-alpha.0" +version = "0.1.0a1" description = "Data analysis and visualization for air quality data." authors = ["David H Hagan "] license = "Apache-2.0" @@ -33,6 +33,8 @@ seaborn = ">=0.12" [tool.poetry.group.dev.dependencies] pytest = "^8.1.1" pytest-cov = "^5.0.0" +ipykernel = "^6.29.4" +jupyter = "^1.0.0" [build-system] requires = ["poetry-core>=1.0.0"] diff --git a/tests/datafiles/epa_test.csv b/tests/datafiles/epa_test.csv deleted file mode 100644 index 90037ec..0000000 --- a/tests/datafiles/epa_test.csv +++ /dev/null @@ -1,2022 +0,0 @@ -date.local,co,no2,o3,pm10,pm25,so2,pb -2020-08-22 19:15:00,2200.0,78.5,17.3,36.0,20.0,2.9,0.04078549685061092 -2020-08-22 20:15:00,2300.0,69.1,16.8,66.0,26.0,3.7,0.12552875607373545 -2020-08-23 14:15:00,1400.0,20.4,34.1,48.0,26.0,8.2,0.11135873250130786 -2020-08-24 13:45:00,300.0,14.2,31.7,,16.0,4.7,0.10672528964581508 -2020-08-24 20:15:00,700.0,82.8,18.0,,16.0,4.1,0.05149371774459868 -2020-08-25 13:45:00,1800.0,42.0,25.3,,10.0,5.0,0.09401755232041241 -2020-08-25 17:15:00,1900.0,36.4,23.6,,7.0,4.6,0.1006057377410416 -2020-08-25 18:15:00,2000.0,20.4,19.6,,7.0,4.3,0.08065079049049376 -2020-08-25 22:30:00,1400.0,60.5,16.3,,15.0,3.7,0.13504949535309915 -2020-08-26 18:45:00,1500.0,56.1,15.3,56.0,12.0,7.1,0.14119770990539363 -2020-08-27 03:45:00,1700.0,31.8,16.4,38.0,22.0,2.5,0.15615269881730753 -2020-08-27 19:00:00,2500.0,69.0,,29.0,21.0,2.5,0.03669123323744322 -2020-08-27 20:15:00,2700.0,60.2,,47.0,20.0,4.3,0.039375743105310126 -2020-08-28 00:15:00,2300.0,34.6,,56.0,26.0,3.6,0.09362879130973964 -2020-08-28 01:00:00,1900.0,16.2,,56.0,23.0,2.5,0.05247224220533403 -2020-08-28 02:45:00,2100.0,58.7,,38.0,23.0,1.4,0.05179156482462266 -2020-08-28 09:45:00,800.0,83.7,,105.0,48.0,4.7,0.12711332381305737 -2020-08-28 10:15:00,1500.0,108.7,,105.0,48.0,5.2,0.05664404174456414 -2020-08-28 11:45:00,1000.0,66.8,,28.0,24.0,2.8,0.021762538183418247 -2020-08-28 18:15:00,1500.0,52.8,93.2,41.0,34.0,5.6,0.08508259829137635 -2020-08-29 05:30:00,,,65.9,141.0,90.0,,0.1437682421325911 -2020-08-29 11:00:00,900.0,,43.2,97.0,52.0,,0.04988250336133139 -2020-08-30 12:15:00,1900.0,22.1,23.9,29.0,7.0,5.3,0.03685351477918328 -2020-08-31 02:45:00,2300.0,15.6,19.2,1.0,10.0,6.3,0.10437447243179823 -2020-08-31 07:15:00,3500.0,33.6,13.9,12.0,11.0,7.1,0.08796684530207315 -2020-08-31 07:45:00,3000.0,27.3,14.1,25.0,13.0,7.2,0.04419187901341111 -2020-08-31 08:15:00,2700.0,26.8,15.0,25.0,13.0,7.3,0.023299101451995576 -2020-08-31 13:15:00,2500.0,15.3,29.4,25.0,6.0,6.9,0.12125073429228993 -2020-08-31 15:45:00,2200.0,45.0,31.6,35.0,10.0,6.9,0.060384296833480844 -2020-08-31 19:00:00,2600.0,68.0,16.2,36.0,22.0,6.9,0.07229706797190195 -2020-08-31 22:15:00,1900.0,41.4,13.0,25.0,15.0,6.3,0.0631733955509991 -2020-08-31 23:15:00,1800.0,39.0,12.8,27.0,11.0,7.4,0.14132214092430984 -2020-09-01 02:30:00,1200.0,23.5,14.8,16.0,13.0,4.4,0.04342435379635763 -2020-09-03 00:45:00,1800.0,66.2,17.7,90.0,57.0,7.4,0.045156561084112215 -2020-09-03 05:15:00,1800.0,39.5,19.0,83.0,41.0,5.9,0.1125726882135135 -2020-09-03 05:45:00,1800.0,36.5,18.8,47.0,27.0,4.9,0.14771349077458049 -2020-09-03 19:15:00,800.0,17.2,24.6,52.0,39.0,5.8,0.027023867932130394 -2020-09-03 20:15:00,1000.0,17.1,20.2,55.0,43.0,6.8,0.1573398373917978 -2020-09-03 23:15:00,900.0,,24.5,72.0,47.0,7.3,0.14872317840497057 -2020-09-04 01:00:00,2000.0,,,47.0,38.0,5.9,0.02636374020676413 -2020-09-04 01:30:00,1600.0,,28.4,47.0,38.0,6.2,0.08589263099140831 -2020-09-04 10:45:00,1700.0,,50.0,58.0,32.0,9.0,0.049042246436800566 -2020-09-04 21:15:00,2800.0,61.1,13.1,,41.0,60.9,0.024444819029736813 -2020-09-06 10:15:00,2700.0,135.0,22.8,,45.0,9.1,0.10090762795480955 -2020-09-07 02:45:00,1800.0,64.7,333.4,,72.0,41.8,0.020789740082754034 -2020-09-09 20:30:00,2900.0,29.1,33.7,62.0,37.0,23.0,0.13578090299200743 -2020-09-10 02:15:00,,,38.1,50.0,43.0,,0.03706629993939471 -2020-09-11 02:15:00,,,12.6,146.0,34.0,,0.06772548962481176 -2020-09-12 02:30:00,400.0,45.3,64.4,68.0,56.0,12.6,0.13493756636406812 -2020-09-12 06:15:00,2300.0,18.1,71.3,103.0,90.0,90.8,0.14419406928320538 -2020-09-12 07:00:00,1800.0,43.0,25.5,97.0,74.0,51.6,0.11199171332103937 -2020-09-12 07:15:00,1800.0,44.0,19.6,97.0,74.0,50.2,0.14478921290076432 -2020-09-12 09:15:00,1900.0,64.2,26.9,96.0,48.0,24.1,0.06477867537646005 -2020-09-13 02:45:00,800.0,47.6,28.8,94.0,88.0,22.1,0.06721615163256439 -2020-09-13 04:45:00,1400.0,48.0,17.0,67.0,63.0,25.0,0.07058018612634104 -2020-09-13 07:30:00,3000.0,32.8,16.7,92.0,81.0,41.8,0.03644140677772395 -2020-09-13 07:45:00,3000.0,39.5,18.1,99.0,83.0,14.3,0.16010851850149493 -2020-09-13 09:30:00,2900.0,10.9,42.8,89.0,69.0,31.6,0.034084007464336624 -2020-09-13 16:45:00,2500.0,85.4,38.4,70.0,66.0,21.4,0.12083719930228104 -2020-09-13 17:45:00,2600.0,50.6,52.0,84.0,69.0,24.9,0.10813422121492042 -2020-09-13 20:45:00,2700.0,53.3,15.1,80.0,68.0,19.3,0.0807709103243792 -2020-09-14 02:45:00,2100.0,63.2,55.9,102.0,92.0,40.8,0.027196059818982703 -2020-09-14 03:15:00,2100.0,64.5,52.9,102.0,92.0,37.1,0.03483174958495051 -2020-09-14 07:15:00,2300.0,9.4,23.5,97.0,83.0,32.4,0.05486753504185274 -2020-09-14 11:00:00,3600.0,36.6,56.9,128.0,95.0,23.5,0.12946003316644122 -2020-09-14 12:45:00,3400.0,68.7,40.6,84.0,72.0,16.4,0.12985275320963935 -2020-09-14 13:15:00,3400.0,63.6,43.8,84.0,72.0,15.1,0.09779669530349219 -2020-09-14 15:15:00,4900.0,48.9,,84.0,60.0,5.6,0.06760001137767854 -2020-09-15 01:15:00,1300.0,28.5,,74.0,59.0,22.6,0.04677259172944348 -2020-09-15 01:45:00,1500.0,21.7,39.3,62.0,52.0,23.9,0.03443585400136523 -2020-09-15 07:45:00,2100.0,11.9,19.6,144.0,125.0,48.0,0.15370745128145333 -2020-09-15 08:15:00,1900.0,57.2,22.4,144.0,125.0,45.2,0.07342816265984717 -2020-09-16 04:45:00,1000.0,28.7,22.7,134.0,65.0,22.6,0.11876296244024691 -2020-09-16 09:00:00,1600.0,32.2,21.8,291.0,99.0,28.0,0.0770842697632272 -2020-09-16 21:00:00,2000.0,34.6,25.2,182.0,62.0,33.9,0.1412534521618064 -2020-09-16 21:15:00,2100.0,34.3,25.7,182.0,,32.8,0.10491166186398924 -2020-09-16 21:45:00,2500.0,44.2,24.3,211.0,64.0,34.4,0.14664771761507886 -2020-09-16 22:45:00,1700.0,23.0,26.3,178.0,69.0,36.3,0.12702167703634143 -2020-09-17 11:00:00,1800.0,70.6,49.3,173.0,48.0,25.2,0.08178982377763606 -2020-09-17 11:15:00,1700.0,62.5,37.2,173.0,48.0,21.5,0.10431664353467121 -2020-09-17 14:45:00,1500.0,58.7,53.6,121.0,,16.7,0.07290093831318262 -2020-09-17 19:45:00,1400.0,60.9,29.4,147.0,51.0,4.0,0.14195003930426403 -2020-09-18 00:45:00,1200.0,32.1,39.4,94.0,45.0,29.6,0.05246148116166023 -2020-09-18 05:15:00,2200.0,36.2,8.6,102.0,48.0,15.6,0.07862179163423666 -2020-09-18 18:45:00,400.0,28.2,28.1,150.0,21.0,,0.024578204299086016 -2020-09-19 12:45:00,,31.4,59.1,248.0,48.0,13.9,0.15695513703617145 -2020-09-19 13:30:00,,60.4,51.0,248.0,48.0,13.0,0.02197704428307538 -2020-09-19 22:15:00,3400.0,,26.4,162.0,33.0,38.5,0.04493586545384955 -2020-09-20 03:15:00,1300.0,,,193.0,47.0,273.5,0.15229940377937712 -2020-09-20 03:45:00,1500.0,,128.2,193.0,47.0,147.5,0.03886446003567847 -2020-09-20 04:00:00,1400.0,,86.6,208.0,69.0,113.7,0.11514280791960431 -2020-09-20 12:15:00,1200.0,,48.3,184.0,52.0,49.4,0.13458301695878508 -2020-09-20 15:00:00,1300.0,,86.5,163.0,,44.9,0.05869051292371848 -2020-09-20 15:15:00,1100.0,,84.8,163.0,54.0,40.5,0.16197450026710966 -2020-09-20 16:45:00,1200.0,,70.2,166.0,,39.1,0.08136263933013019 -2020-09-20 19:45:00,2000.0,,42.2,171.0,,37.2,0.12685883493391964 -2020-09-20 20:15:00,2300.0,,44.9,167.0,,33.3,0.1567469600367959 -2020-09-20 23:15:00,1700.0,,62.5,156.0,,30.9,0.1018781251917976 -2020-09-21 01:15:00,1400.0,,,,,7.8,0.043267670343722864 -2020-09-21 05:15:00,1200.0,,33.8,116.0,,27.3,0.13421255081899444 -2020-09-21 10:15:00,1500.0,,47.9,239.0,,40.4,0.1465735846141873 -2020-09-21 16:15:00,1700.0,14.0,80.1,175.0,40.0,31.7,0.12366314563968264 -2020-09-21 22:15:00,2000.0,14.7,26.2,182.0,40.0,24.7,0.1460867000435213 -2020-09-22 07:15:00,1700.0,,20.6,151.0,36.0,26.5,0.09166115841555876 -2020-09-23 02:00:00,,,25.5,64.0,15.0,,0.13005824669954305 -2020-09-23 11:00:00,1900.0,,49.2,78.0,95.0,35.6,0.10671127071650083 -2020-09-24 01:00:00,1700.0,21.8,,52.0,3.0,,0.08552509749325636 -2020-09-24 01:30:00,1500.0,15.3,27.6,52.0,3.0,3.0,0.08761489242992085 -2020-09-24 02:30:00,1600.0,14.1,27.4,30.0,,,0.15117924373367098 -2020-09-24 04:00:00,1800.0,21.9,20.0,34.0,5.0,,0.07288316941038013 -2020-09-24 07:15:00,1700.0,31.2,17.4,55.0,17.0,37.5,0.1405373378594942 -2020-09-24 13:30:00,,,49.1,,,,0.11778637322793435 -2020-09-24 16:45:00,2600.0,80.6,,150.0,49.0,10.0,0.14258404452447374 -2020-09-24 18:15:00,2500.0,95.8,,166.0,54.0,10.6,0.12984166657820237 -2020-09-24 21:00:00,3600.0,95.0,,196.0,63.0,15.2,0.16181329683499646 -2020-09-25 00:45:00,1800.0,40.4,,79.0,16.0,21.4,0.07598081940297163 -2020-09-25 03:30:00,1500.0,33.7,,62.0,20.0,16.2,0.08098998681184857 -2020-09-25 06:15:00,1500.0,35.7,,99.0,22.0,11.8,0.12503727952008797 -2020-09-25 10:45:00,2400.0,108.4,,155.0,45.0,10.2,0.07710086246337376 -2020-09-25 11:00:00,2400.0,121.8,,155.0,45.0,10.3,0.03100323894766635 -2020-09-25 11:15:00,2400.0,,,155.0,45.0,10.8,0.048455696047640426 -2020-09-25 13:15:00,2300.0,,31.4,173.0,62.0,11.2,0.04903832413952322 -2020-09-25 18:30:00,3000.0,168.7,21.9,180.0,35.0,15.9,0.06877071340825695 -2020-09-25 19:45:00,3000.0,152.0,11.7,299.0,54.0,12.3,0.08843747771453128 -2020-09-25 21:30:00,3700.0,135.1,13.5,278.0,61.0,15.0,0.1543896753956621 -2020-09-25 22:45:00,3400.0,125.6,12.0,237.0,66.0,11.2,0.029103119523277102 -2020-09-25 23:45:00,4100.0,117.2,12.0,284.0,68.0,15.9,0.0441710815613148 -2020-09-26 02:00:00,,,16.7,201.0,73.0,,0.05032164174712775 -2020-09-26 02:30:00,2100.0,97.2,71.3,201.0,73.0,16.4,0.13968630944403215 -2020-09-26 04:45:00,1800.0,93.0,12.6,205.0,75.0,22.5,0.08969411333274577 -2020-09-26 05:45:00,2600.0,94.9,11.8,245.0,71.0,25.7,0.16149407600803872 -2020-09-26 09:45:00,1900.0,105.1,18.1,207.0,42.0,18.7,0.13315067084020868 -2020-09-26 10:00:00,1500.0,109.7,16.1,207.0,42.0,18.9,0.03972213186480927 -2020-09-26 10:15:00,1500.0,109.2,16.5,207.0,42.0,17.1,0.1458204671079261 -2020-09-26 12:45:00,1900.0,107.2,26.3,186.0,48.0,14.5,0.1313046270587302 -2020-09-26 16:45:00,1700.0,68.9,22.2,212.0,37.0,23.6,0.10951100073334824 -2020-09-26 17:15:00,2300.0,105.2,14.5,212.0,37.0,22.0,0.09398326061573593 -2020-09-26 17:30:00,2300.0,76.2,16.7,212.0,37.0,20.5,0.12288261230932959 -2020-09-26 18:30:00,3600.0,89.5,11.9,267.0,38.0,26.4,0.03177466518025855 -2020-09-26 22:45:00,2700.0,67.0,10.8,168.0,25.0,19.9,0.026896926621907423 -2020-09-26 23:00:00,2800.0,70.2,7.3,168.0,25.0,21.0,0.07552423300867894 -2020-09-26 23:15:00,2700.0,67.2,10.4,168.0,25.0,18.9,0.08917064503564073 -2020-09-27 00:45:00,1600.0,57.9,10.9,117.0,28.0,18.5,0.11585256270365754 -2020-09-27 03:30:00,1000.0,29.7,25.1,77.0,,4.0,0.05616016735998901 -2020-09-27 05:00:00,1100.0,30.8,15.3,69.0,15.0,4.7,0.08242941765744986 -2020-09-27 05:15:00,1200.0,48.1,12.2,69.0,15.0,6.9,0.029496688047241888 -2020-09-27 07:45:00,1400.0,33.7,15.2,130.0,20.0,9.0,0.023594985979883278 -2020-09-27 08:15:00,1500.0,36.9,21.5,130.0,,8.8,0.07399797127864333 -2020-09-27 16:45:00,1100.0,69.6,37.3,143.0,,6.7,0.11440216508857182 -2020-09-27 17:00:00,1700.0,61.8,38.0,143.0,,6.5,0.1059765102297029 -2020-09-27 19:30:00,2500.0,83.9,12.6,182.0,,14.5,0.1252204384491687 -2020-09-27 20:45:00,2400.0,78.3,11.0,255.0,,10.2,0.11392987900544874 -2020-09-27 22:15:00,3200.0,70.3,11.5,267.0,,11.9,0.11919327970284097 -2020-09-28 00:00:00,,81.6,12.0,235.0,,,0.11922031345803827 -2020-09-28 00:30:00,3200.0,76.3,12.2,235.0,,13.5,0.11163166229572569 -2020-09-28 01:15:00,2700.0,76.2,,188.0,,17.0,0.03722840963103004 -2020-09-28 01:45:00,3000.0,75.0,12.6,185.0,,15.6,0.07394388023656635 -2020-09-28 02:30:00,2200.0,64.8,12.1,185.0,,9.0,0.04653765329657642 -2020-09-28 03:15:00,2300.0,57.8,12.2,179.0,,15.7,0.12457129547745023 -2020-09-28 03:30:00,2700.0,58.0,12.0,179.0,,14.3,0.07220287649456715 -2020-09-28 03:45:00,2700.0,59.5,12.1,218.0,,13.3,0.12961469006347734 -2020-09-28 06:15:00,2900.0,59.4,10.5,237.0,20.0,23.8,0.052774208330570824 -2020-09-28 06:45:00,3000.0,61.6,10.6,237.0,20.0,30.4,0.12027132083410663 -2020-09-28 10:45:00,2200.0,102.7,32.0,252.0,53.0,22.4,0.05710931322143671 -2020-09-28 12:45:00,2200.0,76.6,37.7,208.0,51.0,12.1,0.1390617920173115 -2020-09-28 13:45:00,2200.0,64.9,33.5,227.0,31.0,10.7,0.11763997653914558 -2020-09-28 14:30:00,2200.0,59.7,31.8,227.0,31.0,10.9,0.08582517032430398 -2020-09-28 14:45:00,2100.0,48.1,40.3,304.0,27.0,11.3,0.0417514032381394 -2020-09-28 17:15:00,,53.4,40.7,210.0,20.0,11.2,0.09997618171186363 -2020-09-28 21:00:00,2100.0,62.5,,256.0,44.0,15.3,0.053432322012035904 -2020-09-28 22:15:00,2300.0,58.7,36.5,228.0,45.0,15.8,0.024019058258944032 -2020-09-28 22:30:00,2500.0,58.9,35.9,228.0,45.0,15.4,0.15983099821147936 -2020-09-28 23:45:00,2500.0,35.2,51.8,215.0,42.0,,0.0360938059716074 -2020-09-29 02:45:00,1500.0,35.1,38.6,185.0,45.0,13.9,0.07736315658636232 -2020-09-29 05:15:00,1800.0,61.2,11.5,167.0,,18.9,0.09445820895833561 -2020-09-29 06:45:00,4000.0,60.1,10.4,207.0,52.0,27.7,0.10191816345616503 -2020-09-29 07:45:00,2400.0,74.1,12.1,246.0,56.0,34.2,0.08291530442778777 -2020-09-29 13:15:00,1800.0,69.4,40.5,221.0,48.0,21.5,0.10617702677345474 -2020-09-29 14:15:00,1800.0,56.9,38.0,224.0,,20.6,0.07776293507645064 -2020-09-29 17:15:00,2200.0,93.7,,199.0,41.0,24.0,0.030105721596548507 -2020-09-29 17:30:00,2000.0,64.9,,199.0,41.0,24.5,0.14973006205610243 -2020-09-29 17:45:00,1900.0,68.2,,196.0,27.0,23.9,0.15362341483670014 -2020-09-29 19:30:00,2200.0,79.2,,227.0,44.0,25.8,0.09224916654899841 -2020-09-29 20:45:00,2200.0,53.6,33.2,250.0,48.0,27.4,0.1526667817174686 -2020-09-29 22:15:00,2300.0,55.4,24.2,210.0,48.0,27.7,0.049146004977991306 -2020-09-29 23:15:00,1800.0,45.3,40.1,213.0,47.0,20.9,0.07773737087800778 -2020-09-30 05:15:00,1900.0,65.9,12.1,155.0,44.0,24.0,0.16195586547650886 -2020-09-30 05:45:00,2200.0,69.1,11.8,195.0,53.0,25.0,0.11014449824543614 -2020-09-30 06:15:00,2200.0,65.6,11.3,195.0,53.0,28.8,0.08618608631546207 -2020-09-30 07:00:00,3100.0,43.2,11.4,219.0,53.0,26.8,0.13056984473310962 -2020-09-30 19:00:00,1100.0,92.5,23.6,200.0,27.0,6.6,0.12066806966281063 -2020-09-30 20:30:00,600.0,71.4,30.7,224.0,43.0,8.4,0.08038723827163073 -2020-10-01 01:30:00,1600.0,28.5,46.3,173.0,41.0,13.5,0.1451213951928924 -2020-10-01 03:30:00,1900.0,54.2,22.4,127.0,38.0,13.9,0.020512996046749884 -2020-10-01 04:45:00,2200.0,52.4,12.7,167.0,45.0,15.1,0.12872261204364777 -2020-10-01 05:00:00,2100.0,50.1,15.5,167.0,45.0,15.4,0.10703965274468173 -2020-10-01 06:45:00,2300.0,76.2,11.3,179.0,47.0,16.3,0.06899266404598953 -2020-10-01 08:15:00,2600.0,92.7,13.9,205.0,48.0,20.9,0.08984847663564886 -2020-10-01 08:30:00,2200.0,82.6,20.8,205.0,48.0,21.8,0.11224128163407394 -2020-10-01 08:45:00,2300.0,89.0,25.3,260.0,57.0,19.6,0.02062314261544415 -2020-10-01 10:15:00,2100.0,112.4,37.2,255.0,55.0,21.8,0.036649387475653314 -2020-10-01 10:30:00,1900.0,100.1,37.3,255.0,55.0,21.0,0.05934831638914685 -2020-10-01 11:00:00,2100.0,112.6,42.4,230.0,55.0,19.8,0.05822709998879651 -2020-10-01 11:15:00,2300.0,121.2,35.9,230.0,55.0,19.3,0.041707403434801824 -2020-10-01 12:30:00,2200.0,91.7,45.1,232.0,56.0,16.7,0.07496564208465563 -2020-10-01 16:15:00,1600.0,63.7,50.3,164.0,29.0,13.8,0.07800259871816342 -2020-10-01 18:45:00,2200.0,92.2,18.6,204.0,32.0,16.4,0.1625622789574232 -2020-10-01 20:15:00,4400.0,94.1,12.0,230.0,52.0,27.4,0.07272168105091531 -2020-10-01 20:30:00,3600.0,93.6,11.7,230.0,52.0,25.8,0.10063225165720026 -2020-10-01 22:00:00,3200.0,79.8,11.4,259.0,62.0,20.3,0.11617680138409152 -2020-10-01 22:30:00,4100.0,84.4,12.3,259.0,62.0,22.9,0.130045447278638 -2020-10-01 22:45:00,3700.0,96.1,12.5,256.0,63.0,26.5,0.051558795141120495 -2020-10-01 23:00:00,4400.0,86.5,12.1,256.0,63.0,27.1,0.06161517728305249 -2020-10-01 23:15:00,4300.0,88.7,12.5,256.0,63.0,27.5,0.13220523466702327 -2020-10-02 00:15:00,2500.0,87.7,13.5,278.0,,7.6,0.06813749798841205 -2020-10-02 00:30:00,2100.0,86.2,13.7,278.0,,2.9,0.026137676963450346 -2020-10-02 00:45:00,1900.0,86.5,13.3,235.0,,2.1,0.041862016978317755 -2020-10-02 01:45:00,1400.0,64.4,19.5,166.0,,6.0,0.14996389216400755 -2020-10-02 02:00:00,,,19.4,166.0,,,0.027137637886005178 -2020-10-02 02:30:00,1200.0,54.2,14.8,166.0,,0.4,0.08820907850863582 -2020-10-02 02:45:00,1500.0,71.8,14.3,178.0,,7.3,0.1494088881282799 -2020-10-02 03:45:00,1500.0,55.4,15.3,171.0,,1.9,0.07388337083668181 -2020-10-02 09:00:00,2200.0,110.1,17.4,217.0,,5.6,0.033235223336745154 -2020-10-02 13:00:00,1600.0,113.3,59.0,167.0,,16.7,0.08048038813217087 -2020-10-02 13:15:00,1400.0,96.3,50.1,167.0,,19.8,0.0707824472705554 -2020-10-02 14:45:00,1300.0,84.9,59.8,172.0,,22.0,0.04823107293855969 -2020-10-02 17:15:00,1400.0,61.6,75.5,169.0,,17.8,0.06328193304573738 -2020-10-02 18:30:00,1900.0,105.8,34.6,184.0,,21.2,0.05256154346498346 -2020-10-02 19:15:00,2200.0,87.9,28.0,239.0,,23.7,0.1365459593698393 -2020-10-02 20:15:00,2300.0,82.4,30.2,276.0,,19.4,0.11104631815479964 -2020-10-02 21:15:00,1600.0,70.0,41.2,269.0,,18.1,0.06255023539154365 -2020-10-02 23:30:00,1600.0,61.6,33.7,234.0,,13.7,0.026435874953144443 -2020-10-03 00:00:00,,49.2,34.9,234.0,,,0.12834548516590227 -2020-10-03 01:15:00,1700.0,50.9,,212.0,,26.6,0.10954340826094593 -2020-10-03 07:00:00,2700.0,82.7,15.2,254.0,,43.4,0.13639495451165073 -2020-10-03 07:15:00,2600.0,81.4,14.9,254.0,,54.0,0.10188706113370088 -2020-10-03 07:30:00,3000.0,73.1,15.0,254.0,,54.8,0.09021878629001762 -2020-10-03 08:00:00,2700.0,103.5,14.2,271.0,,58.0,0.02146735908981494 -2020-10-03 08:15:00,2400.0,110.2,13.9,271.0,,55.2,0.1404428635510355 -2020-10-03 08:30:00,2300.0,105.5,15.2,271.0,,52.3,0.020330856949922083 -2020-10-03 08:45:00,1900.0,89.3,19.3,304.0,,52.5,0.10080547007133023 -2020-10-03 11:15:00,2000.0,130.1,30.0,461.0,,28.9,0.045954215148950976 -2020-10-03 12:00:00,1500.0,102.1,41.7,,,25.5,0.08240026470422061 -2020-10-03 13:15:00,1100.0,91.1,45.1,185.0,122.0,22.0,0.16033294032268094 -2020-10-03 16:45:00,1800.0,74.6,51.5,151.0,35.0,23.8,0.16058981110658524 -2020-10-03 17:15:00,1900.0,85.5,39.8,151.0,35.0,22.8,0.08020085116924558 -2020-10-03 18:30:00,2200.0,105.8,30.1,171.0,34.0,22.7,0.15944933427928676 -2020-10-03 19:15:00,2500.0,111.5,16.7,226.0,49.0,24.6,0.10994146365425722 -2020-10-03 20:15:00,2200.0,96.9,21.3,244.0,48.0,23.7,0.14343307735180255 -2020-10-03 20:45:00,2400.0,84.5,18.5,244.0,63.0,26.9,0.062544382474034 -2020-10-03 22:15:00,1700.0,99.4,15.9,243.0,74.0,25.1,0.12573660143977292 -2020-10-03 23:45:00,1700.0,88.6,13.7,199.0,72.0,30.3,0.11803334588958464 -2020-10-04 01:45:00,2700.0,93.0,12.4,215.0,80.0,24.2,0.1054642583468081 -2020-10-04 03:45:00,2400.0,59.1,17.3,208.0,93.0,19.7,0.1510471216204379 -2020-10-04 10:45:00,2500.0,107.3,50.7,249.0,75.0,25.3,0.13095907884969607 -2020-10-04 12:45:00,2200.0,82.3,52.4,146.0,36.0,13.3,0.02403056979898488 -2020-10-04 13:15:00,2100.0,103.5,50.4,146.0,36.0,16.0,0.06147075697765282 -2020-10-04 13:30:00,2300.0,105.4,58.1,146.0,36.0,17.3,0.07480036418277448 -2020-10-04 15:15:00,2600.0,73.5,68.9,149.0,44.0,17.4,0.14028261469153436 -2020-10-04 16:15:00,2400.0,79.9,74.8,152.0,46.0,14.3,0.1645343753467433 -2020-10-04 16:30:00,2300.0,73.2,63.0,152.0,46.0,13.6,0.13541302588740126 -2020-10-04 17:15:00,2400.0,99.3,49.4,153.0,37.0,13.9,0.1279526016214561 -2020-10-04 18:30:00,3200.0,109.4,21.3,174.0,44.0,13.0,0.11286038124075028 -2020-10-04 19:30:00,2800.0,78.2,35.3,216.0,48.0,14.9,0.03570008004669216 -2020-10-04 19:45:00,3200.0,87.2,34.6,226.0,47.0,14.0,0.04543484768075307 -2020-10-04 20:15:00,2900.0,90.2,26.5,226.0,47.0,17.3,0.07866281156329161 -2020-10-04 20:30:00,2800.0,72.9,35.2,226.0,47.0,16.8,0.13878332279174158 -2020-10-04 21:30:00,2700.0,80.5,24.6,238.0,60.0,16.1,0.0877303037920261 -2020-10-04 22:30:00,2600.0,78.1,26.5,210.0,56.0,15.9,0.05769492200312201 -2020-10-05 02:15:00,,,18.8,182.0,61.0,,0.06467093183649908 -2020-10-05 02:45:00,1800.0,58.7,23.9,161.0,54.0,16.3,0.03974284818270525 -2020-10-05 03:45:00,1700.0,79.4,16.2,185.0,69.0,18.6,0.022679582602346433 -2020-10-05 05:15:00,1700.0,87.2,19.4,169.0,60.0,24.0,0.048651445821675916 -2020-10-05 06:45:00,2100.0,75.3,17.1,261.0,65.0,23.9,0.12982756402327905 -2020-10-05 07:00:00,2400.0,49.2,15.0,261.0,65.0,27.8,0.10358071267461305 -2020-10-05 08:00:00,1700.0,71.1,26.3,273.0,77.0,29.4,0.10739773147754321 -2020-10-05 08:45:00,2000.0,113.6,32.2,271.0,94.0,31.4,0.14529027985072968 -2020-10-05 09:45:00,2000.0,112.8,38.9,285.0,74.0,37.1,0.14879548279753882 -2020-10-05 10:45:00,1500.0,118.8,44.2,267.0,66.0,23.9,0.10186589083339548 -2020-10-05 11:45:00,1700.0,98.2,51.0,244.0,64.0,19.6,0.02761087610374111 -2020-10-05 20:15:00,2400.0,114.9,16.8,234.0,43.0,17.8,0.12894405510838292 -2020-10-05 21:15:00,2500.0,106.7,13.1,229.0,47.0,22.4,0.04976069031083472 -2020-10-05 22:15:00,2300.0,100.7,13.8,279.0,54.0,21.0,0.15066699739108452 -2020-10-05 23:30:00,1600.0,99.1,28.6,282.0,61.0,21.4,0.10702838132503825 -2020-10-06 01:30:00,2400.0,88.2,12.5,224.0,69.0,13.7,0.06952157680822671 -2020-10-06 02:30:00,2200.0,74.9,15.4,215.0,61.0,11.2,0.0483852388155042 -2020-10-06 03:15:00,2000.0,88.2,15.3,215.0,59.0,14.4,0.12791356847185237 -2020-10-06 04:45:00,1800.0,68.0,12.1,202.0,81.0,14.2,0.07289337847814713 -2020-10-06 08:15:00,2700.0,100.4,17.7,284.0,83.0,27.5,0.118343468467417 -2020-10-06 08:45:00,2900.0,109.4,21.4,320.0,90.0,31.6,0.1623642472883548 -2020-10-06 09:15:00,2800.0,101.7,31.6,320.0,90.0,36.6,0.10271496554556508 -2020-10-06 11:00:00,2500.0,116.4,59.5,257.0,83.0,27.9,0.0879519949849303 -2020-10-06 14:00:00,1900.0,78.8,58.1,194.0,59.0,14.3,0.0629922678360877 -2020-10-06 14:15:00,1900.0,68.9,46.7,194.0,59.0,15.2,0.11361905004834347 -2020-10-06 18:45:00,2500.0,96.1,11.7,201.0,64.0,15.8,0.1250511148589215 -2020-10-06 20:15:00,3000.0,103.3,14.1,248.0,71.0,20.1,0.07496206108383437 -2020-10-06 22:15:00,4600.0,103.4,15.7,288.0,82.0,35.1,0.14097615743709338 -2020-10-06 22:45:00,4900.0,99.4,16.4,467.0,114.0,36.0,0.13715254282647157 -2020-10-07 00:15:00,3700.0,91.8,16.6,473.0,160.0,49.9,0.1602142701338157 -2020-10-07 01:45:00,2700.0,84.0,16.9,400.0,215.0,24.3,0.06954924878703503 -2020-10-07 03:15:00,2100.0,82.4,15.3,436.0,254.0,22.7,0.13922227183055977 -2020-10-07 04:00:00,1800.0,76.7,14.3,287.0,130.0,15.4,0.04649202593393774 -2020-10-07 04:15:00,1700.0,70.3,14.8,287.0,130.0,15.1,0.15048736161336446 -2020-10-07 04:30:00,1500.0,49.6,19.4,287.0,130.0,14.8,0.1525054808199886 -2020-10-07 05:00:00,1700.0,74.2,14.9,213.0,98.0,16.3,0.14141282635894573 -2020-10-07 05:15:00,1600.0,69.4,13.9,213.0,98.0,20.5,0.1467622712158387 -2020-10-07 06:00:00,2500.0,63.1,13.3,301.0,170.0,20.2,0.1255442743352036 -2020-10-07 06:30:00,2800.0,67.7,13.7,301.0,170.0,20.9,0.061810087473165826 -2020-10-07 06:45:00,2900.0,64.6,13.5,371.0,172.0,20.5,0.09197984168250456 -2020-10-07 07:00:00,2700.0,61.2,14.2,371.0,172.0,20.9,0.10183014552742177 -2020-10-07 08:00:00,3000.0,99.0,15.1,326.0,128.0,26.2,0.04887718695653785 -2020-10-07 08:15:00,2400.0,87.7,15.5,326.0,128.0,28.7,0.15286398558230574 -2020-10-07 15:30:00,1300.0,81.0,67.6,179.0,56.0,11.3,0.09693546224153043 -2020-10-07 17:00:00,1500.0,93.0,44.2,185.0,47.0,11.6,0.09017849081455963 -2020-10-07 17:15:00,1500.0,97.9,33.6,185.0,47.0,11.2,0.1607056171566572 -2020-10-07 19:15:00,2800.0,110.3,14.7,252.0,70.0,17.3,0.03215065404475077 -2020-10-07 21:00:00,2200.0,86.9,24.3,290.0,73.0,15.6,0.035643610461514 -2020-10-07 22:45:00,1400.0,82.2,20.4,226.0,87.0,13.6,0.13258574144024668 -2020-10-07 23:15:00,1600.0,71.4,26.3,226.0,87.0,16.7,0.03843313650456148 -2020-10-07 23:45:00,2100.0,54.3,35.0,249.0,87.0,13.0,0.039634114035330376 -2020-10-08 00:15:00,1800.0,40.9,45.0,249.0,87.0,20.8,0.12586347932827316 -2020-10-08 00:45:00,1600.0,35.4,49.0,240.0,72.0,24.1,0.12475799742343363 -2020-10-08 01:15:00,1800.0,32.4,,240.0,72.0,22.3,0.03360188326241297 -2020-10-08 02:45:00,1800.0,32.0,36.3,186.0,70.0,21.0,0.15420773132726845 -2020-10-08 05:15:00,2200.0,70.0,14.2,167.0,64.0,26.7,0.16010968040846973 -2020-10-08 10:30:00,2700.0,145.1,49.2,357.0,114.0,28.5,0.1426948026020608 -2020-10-08 13:15:00,2200.0,81.2,68.9,263.0,84.0,23.9,0.12940242721172185 -2020-10-08 13:30:00,2200.0,100.6,55.3,263.0,84.0,21.0,0.06975117944251129 -2020-10-08 14:15:00,2400.0,99.1,73.3,200.0,68.0,20.5,0.08861455647655732 -2020-10-08 18:15:00,2300.0,116.7,26.4,233.0,76.0,24.4,0.06174167271403848 -2020-10-08 19:45:00,2800.0,83.8,21.9,238.0,59.0,21.5,0.08746213905589514 -2020-10-09 00:30:00,1900.0,40.4,36.6,196.0,84.0,22.9,0.03892173408358227 -2020-10-09 00:45:00,1900.0,39.8,33.0,199.0,87.0,22.0,0.0866832702835756 -2020-10-09 01:45:00,2300.0,63.2,13.7,196.0,85.0,19.7,0.07315070412148676 -2020-10-09 03:00:00,2200.0,60.6,14.2,215.0,82.0,15.7,0.09580317372693643 -2020-10-09 05:45:00,2900.0,63.7,16.1,234.0,90.0,20.4,0.1518831435558132 -2020-10-09 06:15:00,3600.0,68.8,15.1,234.0,90.0,22.7,0.05523591614090392 -2020-10-09 10:45:00,2600.0,181.7,45.7,418.0,153.0,41.7,0.15106935055342108 -2020-10-09 13:30:00,,114.5,,351.0,136.0,22.8,0.11562297826682327 -2020-10-09 14:15:00,1500.0,,,199.0,81.0,19.4,0.07110456013248327 -2020-10-09 15:15:00,2000.0,57.4,,171.0,64.0,18.3,0.02816983587780864 -2020-10-09 16:00:00,1800.0,,,178.0,79.0,20.9,0.07396078216978917 -2020-10-09 18:00:00,1700.0,90.3,,227.0,71.0,21.4,0.15710672999359793 -2020-10-09 21:30:00,1100.0,52.9,31.2,,92.0,19.5,0.10019187286946188 -2020-10-09 22:00:00,900.0,42.0,40.9,,79.0,19.7,0.13100368661673914 -2020-10-10 00:45:00,1600.0,22.7,47.7,185.0,73.0,17.7,0.13985860822032967 -2020-10-10 01:30:00,1600.0,31.4,22.6,185.0,73.0,16.8,0.027244951791493013 -2020-10-10 13:15:00,1800.0,59.1,97.0,289.0,99.0,27.4,0.06618584674955495 -2020-10-10 18:45:00,2500.0,74.9,27.2,265.0,94.0,24.9,0.07551992720694223 -2020-10-10 19:15:00,3100.0,74.6,21.3,265.0,94.0,26.3,0.13063388492046962 -2020-10-10 21:45:00,2700.0,58.4,29.9,260.0,98.0,21.9,0.04915801220216798 -2020-10-11 02:45:00,1800.0,46.7,21.1,186.0,90.0,15.5,0.06531659225550009 -2020-10-11 04:15:00,1900.0,52.8,14.4,188.0,95.0,17.3,0.10463034720966762 -2020-10-11 04:30:00,1900.0,47.8,16.1,188.0,95.0,18.7,0.16253412188541608 -2020-10-11 04:45:00,1900.0,43.2,18.8,193.0,93.0,17.8,0.13531553171320954 -2020-10-11 05:00:00,1900.0,47.6,18.8,193.0,93.0,18.0,0.15360247492310264 -2020-10-11 05:15:00,1700.0,50.7,18.6,193.0,93.0,20.3,0.07327251030667882 -2020-10-11 06:15:00,2700.0,56.5,13.7,206.0,105.0,25.4,0.08406953468892574 -2020-10-11 06:45:00,2600.0,57.7,14.3,260.0,120.0,31.3,0.03220182806459756 -2020-10-11 07:30:00,2700.0,52.8,18.0,260.0,120.0,39.8,0.038985804234145216 -2020-10-11 07:45:00,2900.0,62.1,16.4,246.0,105.0,44.4,0.0854823805587222 -2020-10-11 08:45:00,2700.0,85.2,29.4,276.0,128.0,44.4,0.028654362862889027 -2020-10-11 16:45:00,1700.0,48.6,100.3,178.0,70.0,20.6,0.023551652325393635 -2020-10-11 17:15:00,2000.0,72.1,53.5,178.0,70.0,23.4,0.1177223003509589 -2020-10-11 17:45:00,2600.0,94.0,29.8,207.0,73.0,24.2,0.020483449185410427 -2020-10-12 00:15:00,1900.0,28.9,46.2,215.0,109.0,24.9,0.05962926223282014 -2020-10-12 03:15:00,2600.0,34.8,21.8,227.0,154.0,39.1,0.16483389297937232 -2020-10-12 03:45:00,2700.0,38.7,15.5,432.0,337.0,48.3,0.0510120950253842 -2020-10-12 04:00:00,2900.0,48.0,13.3,432.0,337.0,44.4,0.07507598485749994 -2020-10-12 04:15:00,3000.0,49.6,12.2,432.0,337.0,42.2,0.0368573493434822 -2020-10-12 05:30:00,2900.0,50.5,14.4,416.0,287.0,29.7,0.14476395287682878 -2020-10-12 05:45:00,2900.0,50.0,15.2,337.0,225.0,28.3,0.12795839058822148 -2020-10-12 06:00:00,3400.0,55.3,12.8,337.0,225.0,30.7,0.02015852658138425 -2020-10-12 06:30:00,3400.0,57.4,13.8,337.0,225.0,35.2,0.09395278262942953 -2020-10-12 20:45:00,5300.0,100.7,13.2,348.0,143.0,35.6,0.12776959185973494 -2020-10-12 21:15:00,5500.0,102.8,14.8,348.0,143.0,41.1,0.05567531081781636 -2020-10-13 05:00:00,3400.0,67.7,15.9,339.0,178.0,29.1,0.13942759252541204 -2020-10-13 05:30:00,2900.0,70.6,14.0,339.0,178.0,27.5,0.07655251499808047 -2020-10-13 06:30:00,3000.0,66.2,17.6,360.0,168.0,34.3,0.03357790608968924 -2020-10-13 07:15:00,2400.0,60.5,15.0,339.0,181.0,31.9,0.13601330676559192 -2020-10-13 07:45:00,2100.0,61.3,15.3,272.0,135.0,28.5,0.0799381447843617 -2020-10-13 08:45:00,2700.0,42.4,26.6,244.0,118.0,22.3,0.04667678463156442 -2020-10-13 09:15:00,2600.0,44.4,29.5,244.0,118.0,18.4,0.10192913679667231 -2020-10-13 14:15:00,2000.0,27.9,105.2,205.0,85.0,8.6,0.14842910296309705 -2020-10-13 14:45:00,2200.0,30.5,67.1,163.0,77.0,6.7,0.1212543013524134 -2020-10-13 16:15:00,1600.0,38.1,119.5,171.0,76.0,7.1,0.022571879262819304 -2020-10-13 17:45:00,2700.0,70.3,10.8,219.0,84.0,10.1,0.07690290836847775 -2020-10-13 20:15:00,4200.0,81.3,,359.0,152.0,29.3,0.14406964931789057 -2020-10-13 22:45:00,3400.0,76.8,,268.0,145.0,27.2,0.11663806945272026 -2020-10-14 02:30:00,2000.0,50.9,,272.0,152.0,45.6,0.0827288352146382 -2020-10-14 08:00:00,2700.0,51.8,22.7,377.0,226.0,42.3,0.028670619313287543 -2020-10-14 14:45:00,2200.0,59.4,53.1,180.0,80.0,24.9,0.1527492970793526 -2020-10-14 16:45:00,1900.0,84.2,29.3,186.0,75.0,19.9,0.029005874241672433 -2020-10-14 21:45:00,4900.0,84.2,15.4,383.0,167.0,32.9,0.07592963978414499 -2020-10-15 01:45:00,4300.0,54.2,24.4,395.0,239.0,27.0,0.055072954751608755 -2020-10-15 02:00:00,,,5.9,395.0,239.0,,0.1542037299632294 -2020-10-15 09:15:00,,86.2,91.5,445.0,251.0,53.4,0.14690553684244856 -2020-10-15 22:45:00,3500.0,51.7,67.5,371.0,143.0,20.9,0.058626842016561334 -2020-10-15 23:15:00,3300.0,43.8,88.5,371.0,143.0,21.1,0.1564618031461951 -2020-10-16 09:30:00,3200.0,96.3,33.5,338.0,130.0,42.6,0.14422986663148332 -2020-10-16 10:15:00,3100.0,112.5,28.4,313.0,111.0,47.6,0.07414560911845795 -2020-10-16 10:30:00,3100.0,99.8,34.7,313.0,111.0,40.1,0.1324620349451462 -2020-10-16 17:30:00,1900.0,95.1,26.7,179.0,76.0,29.7,0.0233929473604463 -2020-10-16 18:45:00,2000.0,94.9,13.0,339.0,136.0,21.4,0.029704026018193268 -2020-10-16 20:15:00,3400.0,81.5,13.4,316.0,118.0,26.2,0.0911847555490197 -2020-10-16 20:45:00,3500.0,83.9,13.8,367.0,137.0,28.3,0.022071095386929123 -2020-10-16 22:45:00,3500.0,79.6,13.3,459.0,231.0,31.5,0.14717290052593776 -2020-10-17 00:00:00,,71.7,12.9,494.0,175.0,,0.06416393128271362 -2020-10-17 02:45:00,4100.0,55.9,16.2,444.0,216.0,18.9,0.0340233024752293 -2020-10-17 03:15:00,4200.0,51.8,16.2,444.0,216.0,20.3,0.042750556324299756 -2020-10-17 07:30:00,4700.0,69.8,16.6,321.0,158.0,26.6,0.10698148700244704 -2020-10-17 07:45:00,3800.0,75.7,16.3,389.0,151.0,21.9,0.13262508800460443 -2020-10-17 10:15:00,2200.0,71.0,39.4,641.0,301.0,24.0,0.029488706287522058 -2020-10-17 12:45:00,1500.0,62.9,98.7,276.0,96.0,12.1,0.15940609689650923 -2020-10-17 14:15:00,1500.0,77.9,85.1,178.0,62.0,8.6,0.03678785520813353 -2020-10-17 15:30:00,2300.0,98.9,69.5,184.0,76.0,12.4,0.11539222705922485 -2020-10-17 16:45:00,2600.0,92.1,22.7,272.0,54.0,10.7,0.11830503915764472 -2020-10-17 17:15:00,2600.0,108.9,16.9,272.0,54.0,12.2,0.16153789960917736 -2020-10-17 21:15:00,4800.0,84.7,15.7,365.0,148.0,16.1,0.11896391762670436 -2020-10-17 22:30:00,3300.0,90.2,20.6,399.0,150.0,11.4,0.0350732026595079 -2020-10-17 23:15:00,3500.0,74.8,22.8,348.0,127.0,9.1,0.15528570340559675 -2020-10-18 01:45:00,2300.0,61.8,19.3,213.0,104.0,9.4,0.045004073514143435 -2020-10-18 02:30:00,1700.0,50.3,17.0,213.0,104.0,4.6,0.08075163731150937 -2020-10-18 05:00:00,1800.0,58.4,15.7,219.0,113.0,11.3,0.05864153910732538 -2020-10-18 05:45:00,1900.0,57.1,14.3,267.0,126.0,13.5,0.07003040539714557 -2020-10-18 09:45:00,1800.0,91.2,27.3,417.0,171.0,12.2,0.14935251462846788 -2020-10-18 12:30:00,1400.0,50.8,76.5,277.0,120.0,7.3,0.16364586672534642 -2020-10-18 14:15:00,1400.0,44.5,62.6,232.0,67.0,6.3,0.14518426502274615 -2020-10-18 14:45:00,1400.0,53.7,50.3,312.0,73.0,3.2,0.06643942060561137 -2020-10-18 15:15:00,1100.0,50.8,56.2,312.0,73.0,5.8,0.0957265870353241 -2020-10-18 16:15:00,1800.0,71.4,47.9,188.0,43.0,6.8,0.039743059636301495 -2020-10-18 19:15:00,3300.0,88.0,14.3,305.0,59.0,13.4,0.07579672460260903 -2020-10-18 19:45:00,3000.0,87.0,14.7,309.0,88.0,12.0,0.07040955246258873 -2020-10-18 20:45:00,3500.0,84.5,14.3,327.0,98.0,12.8,0.03524993048861662 -2020-10-18 22:15:00,2600.0,83.6,15.7,294.0,103.0,13.0,0.10096962554971302 -2020-10-18 23:00:00,2300.0,66.2,16.4,290.0,121.0,12.9,0.13287185509761967 -2020-10-19 04:00:00,2600.0,32.0,32.3,210.0,103.0,13.5,0.05437485229493419 -2020-10-19 14:30:00,2600.0,47.0,68.6,301.0,86.0,11.7,0.09938317254553382 -2020-10-19 16:45:00,2800.0,60.7,39.4,194.0,41.0,9.7,0.06062982344848808 -2020-10-19 21:15:00,4700.0,68.5,19.2,360.0,103.0,19.9,0.11108046168671272 -2020-10-20 07:15:00,3900.0,60.8,16.2,318.0,,27.8,0.04533306935077473 -2020-10-20 08:45:00,2500.0,85.9,,414.0,,26.6,0.13471944634939892 -2020-10-20 09:15:00,2200.0,101.2,,414.0,,31.2,0.1088821233324172 -2020-10-20 09:45:00,2100.0,106.1,,447.0,,42.4,0.11260833550207804 -2020-10-20 10:15:00,2100.0,123.5,38.6,447.0,,41.1,0.11507967594471644 -2020-10-20 12:15:00,1400.0,90.9,26.7,360.0,,23.0,0.027768033193859835 -2020-10-20 15:45:00,1200.0,66.4,,169.0,101.0,15.6,0.16453920148495002 -2020-10-20 17:30:00,2000.0,74.3,8.1,147.0,44.0,17.0,0.0867283911107333 -2020-10-20 18:15:00,1900.0,70.7,,217.0,44.0,16.1,0.1321785125383765 -2020-10-20 22:30:00,6800.0,70.9,15.0,545.0,168.0,34.6,0.06124737993610166 -2020-10-21 06:45:00,5400.0,60.4,11.3,351.0,139.0,23.5,0.11692561592019304 -2020-10-21 10:15:00,900.0,96.8,42.9,434.0,165.0,11.9,0.16011119901078674 -2020-10-21 12:15:00,,89.4,,172.0,77.0,,0.07853588509745367 -2020-10-21 18:15:00,1600.0,74.0,14.8,185.0,40.0,,0.0728784530888111 -2020-10-21 19:15:00,2800.0,83.3,12.8,191.0,52.0,11.4,0.0949330052750489 -2020-10-22 04:15:00,5000.0,55.9,25.8,306.0,133.0,11.0,0.15294748107243125 -2020-10-22 08:45:00,1900.0,73.6,19.9,462.0,262.0,34.1,0.1380282560486773 -2020-10-22 11:30:00,2800.0,123.1,32.0,456.0,260.0,48.0,0.08843830401264441 -2020-10-22 13:45:00,,,124.9,470.0,249.0,,0.1461261572508166 -2020-10-22 18:00:00,3500.0,143.0,14.1,316.0,133.0,23.0,0.045015234214400526 -2020-10-22 20:15:00,5900.0,134.5,15.2,447.0,186.0,24.9,0.020820104261333218 -2020-10-22 22:45:00,5900.0,111.5,15.4,570.0,269.0,22.7,0.05410526025809084 -2020-10-22 23:15:00,5500.0,104.3,15.3,570.0,269.0,21.9,0.06020815707826056 -2020-10-22 23:45:00,4600.0,114.4,15.0,504.0,254.0,21.0,0.0762656610742424 -2020-10-23 00:45:00,4600.0,98.3,14.8,478.0,235.0,5.0,0.08551147030980578 -2020-10-23 04:00:00,3900.0,97.8,18.9,465.0,324.0,,0.1640700913379826 -2020-10-23 05:45:00,4300.0,99.4,18.0,539.0,343.0,6.3,0.040457711046275616 -2020-10-23 08:15:00,2700.0,126.5,16.3,633.0,466.0,16.1,0.16101896392329723 -2020-10-23 09:00:00,2900.0,158.6,21.0,719.0,523.0,26.8,0.08128528470923949 -2020-10-23 11:30:00,,,,,,8.6,0.0827069366348636 -2020-10-23 11:45:00,,,42.5,393.0,217.0,,0.07544107779578364 -2020-10-23 14:00:00,,,36.0,191.0,81.0,,0.03301282380149381 -2020-10-23 14:45:00,1500.0,85.8,68.2,160.0,72.0,,0.06538793694507808 -2020-10-23 15:30:00,1600.0,102.4,92.4,160.0,72.0,200.8,0.0875874842616586 -2020-10-23 16:00:00,2300.0,135.9,39.7,255.0,122.0,,0.031094216576518494 -2020-10-23 17:15:00,3200.0,126.9,17.9,312.0,115.0,,0.14647673794972652 -2020-10-23 17:45:00,3200.0,131.9,12.9,316.0,133.0,0.8,0.1530703445549059 -2020-10-23 19:15:00,4600.0,132.5,13.7,410.0,159.0,6.3,0.1360471691814294 -2020-10-23 21:45:00,7400.0,128.6,64.9,838.0,322.0,27.4,0.14751267906695892 -2020-10-23 22:15:00,6800.0,105.1,57.6,838.0,322.0,22.3,0.14553719976148352 -2020-10-23 23:45:00,5200.0,95.8,52.7,525.0,244.0,10.0,0.05637829346416928 -2020-10-24 00:45:00,4500.0,97.9,31.0,571.0,300.0,7.4,0.15599267885802723 -2020-10-24 02:15:00,,,25.2,489.0,327.0,,0.104737729397852 -2020-10-24 02:45:00,4700.0,70.1,24.8,523.0,353.0,,0.13848431919769033 -2020-10-24 03:00:00,4700.0,74.9,26.2,523.0,353.0,2.3,0.08120032748120434 -2020-10-24 04:00:00,4800.0,63.7,23.8,604.0,394.0,2.7,0.1272106660647284 -2020-10-24 05:15:00,5300.0,45.0,21.6,499.0,342.0,5.1,0.056066695747488335 -2020-10-24 06:15:00,5800.0,68.5,21.1,517.0,280.0,15.1,0.1417339920865082 -2020-10-24 06:45:00,5800.0,66.7,23.2,580.0,259.0,13.5,0.06744355963783664 -2020-10-24 07:15:00,5000.0,87.3,19.1,580.0,259.0,8.5,0.09012611802223022 -2020-10-24 07:30:00,4900.0,97.3,18.6,580.0,259.0,6.6,0.0477845953704217 -2020-10-24 08:45:00,3700.0,162.6,16.6,638.0,369.0,19.6,0.04432646854396114 -2020-10-24 11:30:00,1800.0,122.4,49.5,621.0,396.0,,0.021726101352040263 -2020-10-24 14:15:00,1700.0,115.0,91.8,324.0,190.0,,0.098577172627001 -2020-10-24 15:00:00,1400.0,84.3,90.2,299.0,153.0,,0.027145113143402663 -2020-10-24 17:15:00,1800.0,140.7,26.4,269.0,112.0,,0.020398435236021945 -2020-10-24 17:45:00,2000.0,130.7,14.3,318.0,124.0,,0.10408075981710911 -2020-10-24 20:30:00,5600.0,108.0,15.3,498.0,199.0,23.0,0.06311261475238668 -2020-10-24 21:00:00,6300.0,109.6,14.3,541.0,217.0,24.8,0.11902696894995336 -2020-10-24 21:45:00,7000.0,100.9,14.4,670.0,246.0,28.4,0.12008863256242024 -2020-10-24 22:15:00,7500.0,94.2,15.2,670.0,246.0,28.3,0.10265709708381032 -2020-10-24 23:00:00,9900.0,143.4,16.5,733.0,271.0,42.1,0.15157439013623047 -2020-10-25 02:30:00,6100.0,62.3,20.7,572.0,301.0,,0.16363482688159492 -2020-10-25 03:15:00,7000.0,71.6,42.6,608.0,332.0,3.7,0.08503522695601154 -2020-10-25 04:45:00,6100.0,68.9,36.7,719.0,435.0,,0.048557270472121244 -2020-10-25 05:15:00,6200.0,73.9,31.1,719.0,435.0,2.4,0.052679981587998456 -2020-10-25 06:00:00,,68.0,24.9,826.0,513.0,,0.15040753387596503 -2020-10-25 06:45:00,8600.0,55.0,21.9,939.0,594.0,18.7,0.0996926238557572 -2020-10-25 07:15:00,7600.0,89.0,20.2,939.0,594.0,15.1,0.0966392687568791 -2020-10-25 08:00:00,5100.0,120.4,18.6,900.0,587.0,18.0,0.1189567816554505 -2020-10-25 09:15:00,2700.0,191.7,21.6,631.0,353.0,20.7,0.09041700864022784 -2020-10-25 10:45:00,1700.0,141.6,48.9,438.0,286.0,16.1,0.14242024932152716 -2020-10-25 11:15:00,1800.0,135.8,65.8,438.0,286.0,18.0,0.028477970357362364 -2020-10-25 12:15:00,2600.0,110.1,89.3,384.0,238.0,20.8,0.12258930657015321 -2020-10-25 14:15:00,1900.0,86.4,106.7,250.0,147.0,16.5,0.04790107746123673 -2020-10-25 14:45:00,2000.0,115.6,71.9,207.0,100.0,14.6,0.11574537663418083 -2020-10-25 15:00:00,2000.0,110.8,72.7,207.0,100.0,13.0,0.07118616231477218 -2020-10-25 15:30:00,1800.0,100.1,77.3,207.0,100.0,12.4,0.13301236336618094 -2020-10-25 16:00:00,1600.0,121.5,46.8,211.0,115.0,11.4,0.0799181141408353 -2020-10-25 16:15:00,1400.0,133.8,30.8,211.0,115.0,10.8,0.09337392741183516 -2020-10-25 18:00:00,,119.2,13.3,354.0,133.0,,0.027485669333449547 -2020-10-25 18:15:00,3700.0,119.6,13.9,354.0,133.0,13.3,0.025424873556390684 -2020-10-25 19:00:00,6500.0,140.5,14.3,440.0,166.0,19.1,0.12618791461901296 -2020-10-25 19:30:00,7400.0,130.2,13.8,440.0,166.0,26.2,0.1149112640278954 -2020-10-25 20:15:00,8300.0,130.6,14.0,663.0,238.0,35.3,0.03297560802354015 -2020-10-25 21:00:00,9600.0,129.1,15.4,718.0,313.0,30.7,0.08021891528885519 -2020-10-25 21:30:00,8300.0,124.7,14.7,718.0,313.0,27.3,0.06961923254273124 -2020-10-25 23:00:00,7800.0,92.5,25.4,686.0,314.0,20.1,0.06634175131188849 -2020-10-25 23:30:00,8000.0,89.6,32.3,686.0,314.0,18.5,0.15705581773328608 -2020-10-26 00:45:00,6600.0,89.5,35.4,577.0,323.0,6.1,0.04888390794058366 -2020-10-26 01:45:00,6500.0,89.8,37.2,549.0,314.0,6.7,0.05451745001338665 -2020-10-26 02:00:00,,,41.6,549.0,314.0,,0.1358045641461682 -2020-10-26 02:15:00,,,43.6,549.0,314.0,,0.15723258723523958 -2020-10-26 03:30:00,5500.0,59.0,55.2,489.0,301.0,4.1,0.1643524109481192 -2020-10-26 04:00:00,6000.0,61.4,56.3,476.0,298.0,5.6,0.03245113070552404 -2020-10-26 05:00:00,,76.5,31.0,561.0,394.0,2.9,0.025095941105067313 -2020-10-26 05:45:00,,93.5,26.1,603.0,388.0,7.2,0.03924309441540295 -2020-10-26 06:15:00,,89.0,26.9,603.0,388.0,15.8,0.02454905004148359 -2020-10-26 07:00:00,,83.1,26.3,597.0,338.0,19.7,0.09409428740979549 -2020-10-26 07:30:00,,102.5,25.7,597.0,338.0,20.9,0.06322195391172694 -2020-10-26 08:45:00,,169.8,26.2,627.0,341.0,26.4,0.026640519543164185 -2020-10-26 09:15:00,,143.3,21.0,627.0,341.0,29.4,0.062131954995094066 -2020-10-26 11:45:00,,139.0,,443.0,283.0,20.3,0.10300279770444691 -2020-10-26 18:45:00,3300.0,135.7,31.9,332.0,111.0,19.5,0.052590890176554564 -2020-10-26 19:30:00,3100.0,125.0,31.7,332.0,111.0,17.4,0.09198575479719487 -2020-10-26 19:45:00,3000.0,120.1,29.8,326.0,122.0,18.4,0.15345152813699925 -2020-10-26 20:15:00,3400.0,125.2,31.0,326.0,122.0,17.5,0.1318211424416905 -2020-10-26 20:30:00,3800.0,131.6,29.1,326.0,122.0,15.9,0.0349679522908485 -2020-10-26 21:45:00,3800.0,130.7,31.2,362.0,169.0,14.1,0.15171226242864425 -2020-10-26 22:45:00,2700.0,111.0,37.3,356.0,168.0,11.6,0.12328219577187303 -2020-10-27 00:15:00,2600.0,71.3,65.6,428.0,266.0,12.0,0.09034645017017914 -2020-10-27 00:45:00,2400.0,48.5,97.1,383.0,243.0,11.8,0.02479637353230225 -2020-10-27 01:15:00,2500.0,46.5,,383.0,243.0,10.9,0.10870915254785542 -2020-10-27 03:15:00,2400.0,80.1,33.7,344.0,244.0,10.3,0.0810774556900316 -2020-10-27 03:45:00,2700.0,70.0,52.5,404.0,276.0,9.7,0.045689818041887736 -2020-10-27 05:00:00,3300.0,83.4,32.0,377.0,270.0,12.1,0.08760334796698331 -2020-10-27 06:00:00,,91.8,28.2,415.0,273.0,,0.13995824503102047 -2020-10-27 07:45:00,3100.0,79.3,29.9,384.0,250.0,4.9,0.12202172582956347 -2020-10-27 11:00:00,1700.0,125.4,,359.0,176.0,13.5,0.11433958296401346 -2020-10-27 11:15:00,,122.8,39.7,359.0,176.0,12.6,0.12578212728420118 -2020-10-27 12:15:00,2200.0,125.2,68.2,327.0,177.0,16.7,0.14111857021450142 -2020-10-27 12:45:00,2000.0,129.1,67.6,337.0,159.0,15.1,0.07897688640482807 -2020-10-27 17:45:00,3500.0,121.4,14.1,315.0,72.0,15.5,0.03021847965593885 -2020-10-27 18:15:00,3000.0,129.1,14.3,315.0,72.0,17.8,0.07774591190665354 -2020-10-27 18:45:00,4200.0,133.5,13.5,342.0,90.0,22.8,0.06449648879421883 -2020-10-27 19:15:00,6500.0,114.9,13.9,342.0,90.0,29.6,0.020410312872796238 -2020-10-27 19:30:00,7400.0,104.4,13.4,342.0,90.0,26.9,0.15892523464240665 -2020-10-27 20:00:00,5100.0,120.8,13.8,469.0,133.0,9.1,0.09138145298363354 -2020-10-27 20:15:00,5600.0,98.1,14.4,469.0,133.0,9.3,0.16389064107256537 -2020-10-27 20:45:00,5700.0,116.1,13.9,434.0,141.0,7.9,0.15037763529066922 -2020-10-27 21:15:00,6800.0,108.6,14.1,434.0,141.0,8.4,0.03240586739478977 -2020-10-27 22:15:00,6900.0,111.2,14.3,505.0,161.0,6.9,0.10724947487828286 -2020-10-27 23:00:00,5800.0,111.6,17.1,521.0,192.0,4.2,0.13492788933202052 -2020-10-28 01:15:00,4800.0,69.1,,398.0,184.0,,0.1505779582343158 -2020-10-28 01:30:00,4600.0,70.5,17.0,398.0,184.0,,0.058138744536880615 -2020-10-28 02:45:00,3500.0,85.1,18.5,277.0,157.0,,0.16280209100677492 -2020-10-28 07:30:00,3300.0,90.0,13.2,392.0,200.0,7.8,0.099254226836942 -2020-10-28 11:45:00,2100.0,133.7,41.3,357.0,212.0,10.4,0.15654989060501853 -2020-10-28 13:15:00,2300.0,125.9,75.0,364.0,,18.2,0.06492477682283362 -2020-10-28 15:15:00,2900.0,133.7,78.8,348.0,194.0,16.9,0.07056107406425667 -2020-10-28 20:00:00,7800.0,157.9,15.7,690.0,269.0,24.0,0.108162447268721 -2020-10-28 20:30:00,10.0,161.9,14.9,690.0,269.0,28.1,0.06673728018911602 -2020-10-28 21:00:00,9500.0,135.3,14.7,749.0,296.0,27.4,0.09868127160483989 -2020-10-28 21:15:00,10.0,136.2,15.3,749.0,296.0,30.6,0.0702061063603224 -2020-10-28 22:45:00,10.0,139.3,19.1,807.0,346.0,32.8,0.10116879980328558 -2020-10-29 00:30:00,7900.0,94.8,17.9,787.0,392.0,8.0,0.058493541504081606 -2020-10-29 04:00:00,2500.0,116.1,16.6,726.0,562.0,,0.09836241803800375 -2020-10-29 07:30:00,5400.0,116.8,33.7,754.0,477.0,26.1,0.05127363698352769 -2020-10-29 08:45:00,2100.0,132.2,16.4,544.0,281.0,62.9,0.1369268576779628 -2020-10-29 14:15:00,3000.0,127.6,82.7,284.0,147.0,35.0,0.15030537063722674 -2020-10-29 18:30:00,3700.0,131.3,12.8,427.0,148.0,20.3,0.12606849136226375 -2020-10-29 18:45:00,4700.0,134.4,14.0,425.0,145.0,20.7,0.10367943855947764 -2020-10-30 18:15:00,3300.0,116.1,13.6,,75.0,13.0,0.11469757577472738 -2020-10-30 18:45:00,3700.0,129.2,14.4,,105.0,15.6,0.0637377076207267 -2020-10-30 19:30:00,3900.0,134.2,15.4,,105.0,15.4,0.15137778135967353 -2020-10-30 20:45:00,3900.0,139.9,17.6,411.0,160.0,17.9,0.05625653853646212 -2020-10-30 23:30:00,3200.0,110.0,18.0,587.0,354.0,14.4,0.1287883891524452 -2020-10-31 00:00:00,,106.4,20.5,649.0,465.0,,0.0648210362397972 -2020-10-31 00:30:00,3300.0,96.1,33.4,649.0,465.0,9.4,0.15297420507269321 -2020-10-31 03:15:00,2900.0,70.8,17.3,644.0,518.0,6.3,0.1330169539026585 -2020-10-31 04:15:00,2700.0,68.4,17.6,637.0,499.0,5.6,0.07401533981633994 -2020-10-31 07:15:00,3200.0,90.9,15.1,564.0,433.0,10.3,0.14029306732108862 -2020-10-31 09:45:00,2800.0,98.3,46.1,510.0,276.0,14.1,0.11303422642382989 -2020-10-31 11:30:00,2500.0,118.3,60.6,434.0,239.0,11.1,0.06320022084259215 -2020-10-31 16:45:00,2000.0,114.0,41.1,205.0,88.0,9.7,0.031835521005198986 -2020-11-01 11:15:00,2400.0,112.7,56.2,582.0,347.0,12.0,0.05047937135816216 -2020-11-01 11:30:00,2400.0,121.1,45.9,582.0,347.0,10.8,0.07069765219408616 -2020-11-01 12:15:00,2000.0,75.0,74.9,428.0,234.0,13.5,0.12076659663750283 -2020-11-01 13:45:00,1800.0,58.5,64.6,269.0,100.0,10.9,0.06411907663710215 -2020-11-01 14:00:00,2000.0,68.7,61.2,269.0,100.0,9.7,0.06804396114354778 -2020-11-01 14:15:00,1900.0,63.0,50.6,269.0,100.0,8.4,0.06821710966857336 -2020-11-01 14:45:00,1900.0,77.5,54.2,246.0,68.0,8.9,0.07317797562579693 -2020-11-01 15:00:00,1700.0,59.0,67.0,246.0,68.0,9.1,0.04250805711420058 -2020-11-01 15:15:00,1700.0,52.6,74.2,246.0,68.0,8.7,0.11513025200293295 -2020-11-01 16:30:00,2300.0,85.2,46.8,222.0,79.0,10.4,0.12083269143342061 -2020-11-01 17:15:00,2700.0,153.6,18.7,200.0,77.0,10.3,0.05394316296944457 -2020-11-01 17:30:00,4000.0,153.0,12.8,200.0,77.0,14.6,0.054423030473614034 -2020-11-01 17:45:00,4000.0,156.5,13.6,282.0,90.0,18.2,0.1537878804002425 -2020-11-01 18:30:00,3700.0,135.5,14.1,282.0,90.0,13.6,0.13251592232010748 -2020-11-01 19:45:00,5600.0,158.0,14.1,433.0,135.0,24.0,0.15488201447244554 -2020-11-01 20:15:00,5800.0,146.9,14.4,433.0,135.0,22.6,0.04034150518924039 -2020-11-01 20:45:00,6100.0,137.3,14.0,516.0,163.0,26.5,0.130910471263727 -2020-11-01 21:15:00,6600.0,146.2,14.1,516.0,163.0,25.5,0.02630512449231808 -2020-11-01 21:45:00,6100.0,112.0,14.8,464.0,174.0,22.5,0.05976324061564563 -2020-11-01 22:15:00,5100.0,137.5,14.2,464.0,174.0,21.8,0.04546961642658355 -2020-11-01 22:45:00,3300.0,127.1,14.1,483.0,215.0,14.7,0.113863210173153 -2020-11-01 23:00:00,3100.0,99.6,13.9,483.0,215.0,12.3,0.15009358722327137 -2020-11-01 23:30:00,2300.0,115.3,15.7,483.0,215.0,9.3,0.11957169477768215 -2020-11-02 00:00:00,,115.6,15.9,323.0,174.0,,0.028758039766846592 -2020-11-02 00:15:00,2600.0,111.3,15.2,323.0,174.0,7.3,0.07375471856750421 -2020-11-02 00:45:00,2700.0,106.2,15.9,317.0,198.0,5.0,0.1243191038917718 -2020-11-02 01:00:00,3000.0,102.4,,317.0,198.0,5.4,0.0610805452368819 -2020-11-02 04:15:00,3100.0,96.3,12.7,401.0,280.0,5.9,0.0737037478507417 -2020-11-02 04:30:00,3000.0,95.0,13.6,401.0,280.0,5.8,0.15446426079086922 -2020-11-02 05:00:00,3100.0,89.2,13.9,329.0,215.0,10.1,0.09280689478264352 -2020-11-02 05:45:00,3500.0,69.6,13.3,318.0,156.0,9.9,0.04741749576506858 -2020-11-02 06:00:00,,57.0,10.4,318.0,156.0,,0.037089611346125484 -2020-11-02 06:45:00,3800.0,73.5,12.5,306.0,139.0,13.0,0.11371655619490087 -2020-11-02 07:15:00,3300.0,76.0,12.8,306.0,139.0,10.4,0.11570285235116953 -2020-11-02 08:00:00,2900.0,89.6,13.8,279.0,110.0,11.9,0.08715549912564105 -2020-11-02 09:00:00,2300.0,121.6,13.3,374.0,128.0,13.5,0.04179522982896674 -2020-11-02 09:30:00,2500.0,153.6,15.0,374.0,128.0,12.1,0.07606729448680884 -2020-11-02 09:45:00,2300.0,141.4,16.5,602.0,195.0,14.0,0.05132148382573047 -2020-11-02 10:00:00,2600.0,153.9,17.7,602.0,,16.6,0.08975037234132442 -2020-11-02 10:45:00,2900.0,137.2,22.0,437.0,238.0,16.5,0.13361909837904615 -2020-11-02 11:45:00,3100.0,192.3,38.9,451.0,248.0,15.0,0.15414246876958032 -2020-11-02 12:45:00,2200.0,169.4,60.1,399.0,238.0,20.0,0.13537977220976583 -2020-11-02 13:15:00,2000.0,203.1,50.9,399.0,238.0,20.1,0.06158571317630686 -2020-11-02 13:30:00,1800.0,186.7,59.3,399.0,238.0,20.1,0.07765159422901692 -2020-11-02 14:45:00,1700.0,190.6,78.4,329.0,192.0,20.3,0.14646613447990917 -2020-11-02 15:45:00,2100.0,185.9,40.2,306.0,176.0,14.7,0.1203330025374873 -2020-11-02 16:15:00,1700.0,139.1,40.8,306.0,176.0,11.8,0.14620974865441402 -2020-11-02 16:45:00,1800.0,164.6,26.6,269.0,119.0,13.1,0.15995686630922593 -2020-11-02 17:00:00,2400.0,177.1,17.2,269.0,119.0,15.3,0.14193653396116074 -2020-11-02 18:15:00,3300.0,174.4,14.7,357.0,140.0,11.8,0.14744102149029029 -2020-11-02 21:15:00,8300.0,165.2,16.6,604.0,235.0,29.1,0.13167103824326154 -2020-11-02 21:45:00,9900.0,150.4,16.4,703.0,266.0,31.3,0.045315060527429576 -2020-11-02 22:15:00,9900.0,124.8,17.9,703.0,266.0,26.7,0.12660260418495822 -2020-11-02 22:30:00,10.0,136.3,17.3,703.0,266.0,28.1,0.041795859895410646 -2020-11-02 23:45:00,9900.0,107.9,19.0,583.0,277.0,23.6,0.08720996426515484 -2020-11-03 00:15:00,8300.0,116.1,19.1,583.0,277.0,11.2,0.07773122559515203 -2020-11-03 01:30:00,6800.0,113.3,20.3,583.0,276.0,5.8,0.07654094228630622 -2020-11-03 01:45:00,6600.0,119.7,18.8,530.0,258.0,3.7,0.14060237402297907 -2020-11-03 02:15:00,,,18.3,530.0,258.0,,0.16132041754647183 -2020-11-03 03:45:00,2400.0,112.0,16.6,257.0,164.0,,0.1005477550054105 -2020-11-03 04:15:00,2200.0,115.8,15.6,257.0,164.0,,0.1340087991985133 -2020-11-03 05:15:00,3300.0,107.7,17.9,306.0,190.0,,0.1114841821387136 -2020-11-03 05:30:00,3500.0,102.0,17.7,306.0,190.0,,0.08829269337361459 -2020-11-03 06:15:00,5700.0,115.9,14.7,434.0,204.0,9.2,0.13484866232889192 -2020-11-03 06:45:00,6600.0,117.7,16.4,526.0,214.0,17.1,0.04572664059164465 -2020-11-03 07:15:00,6200.0,152.4,19.3,526.0,214.0,21.2,0.0977747816633183 -2020-11-03 07:45:00,5400.0,133.8,17.7,549.0,238.0,11.2,0.1153096029653485 -2020-11-03 08:15:00,4300.0,174.0,20.4,549.0,238.0,6.0,0.1557722593983413 -2020-11-03 08:30:00,3900.0,182.2,13.0,549.0,238.0,4.6,0.10518058126235066 -2020-11-03 08:45:00,3600.0,181.4,12.5,481.0,206.0,4.8,0.021367158400995047 -2020-11-03 09:30:00,2900.0,195.3,17.8,481.0,206.0,1.8,0.11122326064561676 -2020-11-03 10:00:00,2200.0,192.4,16.1,384.0,154.0,,0.07858647131715066 -2020-11-03 10:30:00,2300.0,205.4,18.4,384.0,154.0,,0.09887175761538049 -2020-11-03 11:00:00,2100.0,200.9,25.4,338.0,129.0,,0.0415828860352834 -2020-11-03 11:30:00,1700.0,189.1,50.7,338.0,129.0,17.6,0.12744387565489068 -2020-11-03 11:45:00,1900.0,152.8,69.3,324.0,142.0,11.5,0.12837839759554653 -2020-11-03 12:15:00,1900.0,142.8,48.8,324.0,142.0,17.4,0.10373373314076219 -2020-11-03 12:45:00,1800.0,103.9,70.0,188.0,68.0,12.1,0.07440521714329268 -2020-11-03 13:15:00,2100.0,138.2,60.6,188.0,68.0,11.0,0.16403395952912228 -2020-11-03 16:00:00,2200.0,172.8,38.2,136.0,40.0,12.7,0.12773449831842126 -2020-11-03 17:45:00,3500.0,196.9,16.3,305.0,90.0,20.6,0.04558521001901113 -2020-11-03 19:30:00,7300.0,184.2,15.7,342.0,109.0,35.5,0.11368614447788317 -2020-11-03 20:30:00,5800.0,188.7,16.7,554.0,177.0,37.4,0.04923709894795258 -2020-11-03 21:00:00,8200.0,203.0,15.6,564.0,265.0,43.5,0.11876162785463801 -2020-11-03 23:15:00,6800.0,150.0,18.4,753.0,287.0,32.6,0.05259573896157112 -2020-11-03 23:45:00,7000.0,142.8,20.9,677.0,286.0,28.3,0.06130669813649889 -2020-11-04 00:15:00,5700.0,126.7,19.9,677.0,286.0,9.7,0.07641818545648375 -2020-11-04 00:45:00,6100.0,137.0,19.8,652.0,324.0,6.4,0.1132453235022227 -2020-11-04 04:15:00,3300.0,128.4,14.9,313.0,165.0,,0.1152124021015884 -2020-11-04 10:00:00,2700.0,189.4,15.7,447.0,,7.5,0.07316585914105365 -2020-11-04 11:15:00,3500.0,239.0,20.3,495.0,244.0,16.6,0.12270309380593276 -2020-11-04 12:00:00,,,,565.0,327.0,,0.14153511260026153 -2020-11-04 15:45:00,3400.0,211.4,27.8,777.0,569.0,22.2,0.14715962040424246 -2020-11-04 16:15:00,3400.0,191.1,24.5,777.0,569.0,20.2,0.13071449278090613 -2020-11-04 21:30:00,7600.0,146.6,14.7,817.0,486.0,18.8,0.04354259337576834 -2020-11-04 22:30:00,5700.0,145.6,14.3,749.0,507.0,14.4,0.12688026343775374 -2020-11-05 03:45:00,3800.0,129.2,16.0,608.0,454.0,9.0,0.07322357478208898 -2020-11-05 07:15:00,3300.0,157.2,15.2,583.0,385.0,12.7,0.09268545880929298 -2020-11-05 08:45:00,2800.0,155.8,13.7,596.0,346.0,14.3,0.09706763047546152 -2020-11-05 10:30:00,2400.0,179.3,23.1,550.0,332.0,16.7,0.11664664671593254 -2020-11-05 12:15:00,2300.0,184.5,65.9,411.0,257.0,26.5,0.12037857764031319 -2020-11-05 12:45:00,2300.0,127.7,83.6,488.0,233.0,20.3,0.05566421538686768 -2020-11-05 17:45:00,6100.0,235.2,15.0,475.0,193.0,24.2,0.08176922082907824 -2020-11-05 19:15:00,6900.0,243.1,14.4,537.0,229.0,34.1,0.07799734231496629 -2020-11-05 19:45:00,8900.0,214.0,18.4,692.0,261.0,34.4,0.14399250207686476 -2020-11-05 20:00:00,9400.0,235.6,15.6,692.0,261.0,39.7,0.0910432440591049 -2020-11-05 20:45:00,6800.0,161.9,16.0,719.0,299.0,31.1,0.08248651032412598 -2020-11-06 02:00:00,,,15.4,544.0,309.0,,0.13566264340438794 -2020-11-06 04:15:00,3400.0,95.1,28.1,516.0,358.0,,0.048964390714013456 -2020-11-06 04:30:00,3700.0,79.6,31.2,516.0,358.0,,0.06909378359723217 -2020-11-06 04:45:00,3700.0,77.1,28.3,570.0,402.0,,0.06547820595931729 -2020-11-06 05:15:00,2800.0,73.2,23.3,570.0,402.0,,0.14795050853452665 -2020-11-06 05:30:00,3100.0,50.1,16.8,570.0,402.0,,0.06433570752213753 -2020-11-06 06:30:00,4500.0,43.5,14.6,555.0,364.0,13.7,0.14133001175673382 -2020-11-06 08:15:00,3900.0,78.6,16.5,538.0,351.0,12.8,0.04739904309491433 -2020-11-06 08:45:00,3900.0,99.1,25.5,609.0,342.0,12.6,0.07735944740393666 -2020-11-06 13:15:00,2100.0,155.2,42.7,521.0,346.0,17.8,0.09018710014492368 -2020-11-06 14:45:00,2100.0,121.2,46.1,400.0,208.0,13.1,0.025243046675881637 -2020-11-06 17:15:00,3400.0,152.0,17.6,361.0,159.0,21.1,0.09718790895962189 -2020-11-06 17:45:00,4300.0,154.4,21.3,482.0,185.0,22.3,0.0811077222466223 -2020-11-06 18:30:00,6000.0,162.2,19.4,482.0,185.0,23.9,0.058731630803409485 -2020-11-06 20:45:00,8400.0,171.1,21.7,692.0,293.0,27.3,0.03227418896512412 -2020-11-06 21:45:00,8900.0,154.7,23.1,714.0,331.0,26.1,0.15970698043833337 -2020-11-06 22:15:00,8700.0,169.2,23.4,714.0,331.0,26.6,0.0632749774275671 -2020-11-06 22:45:00,6900.0,136.3,22.2,759.0,351.0,18.8,0.07303911029264107 -2020-11-06 23:00:00,5800.0,132.4,22.8,759.0,351.0,14.0,0.08185319480343498 -2020-11-06 23:15:00,5500.0,110.3,24.4,759.0,351.0,9.4,0.14641418235789558 -2020-11-07 01:15:00,3500.0,88.7,,674.0,540.0,4.2,0.04217240771543547 -2020-11-07 01:30:00,3700.0,93.5,29.8,674.0,540.0,4.6,0.0537052696696544 -2020-11-07 02:15:00,,,28.1,748.0,610.0,,0.09994775800181702 -2020-11-07 03:15:00,4000.0,92.1,24.8,779.0,615.0,4.7,0.05206234539793915 -2020-11-07 03:45:00,3400.0,114.5,24.9,725.0,597.0,2.5,0.10276886402330146 -2020-11-07 04:15:00,3900.0,118.9,26.1,725.0,597.0,5.2,0.03424301184120231 -2020-11-07 04:45:00,3500.0,117.9,26.0,741.0,590.0,5.6,0.027407576891546118 -2020-11-07 05:15:00,4100.0,87.2,24.0,741.0,590.0,7.6,0.04822557198839247 -2020-11-07 05:45:00,4400.0,93.6,24.1,782.0,560.0,10.5,0.041823906114625505 -2020-11-07 06:15:00,4200.0,84.5,23.0,782.0,560.0,7.5,0.1258579630938631 -2020-11-07 06:45:00,4700.0,77.6,21.6,747.0,546.0,8.0,0.12464806553456742 -2020-11-07 07:00:00,5200.0,87.1,22.4,747.0,546.0,5.8,0.10093433243594829 -2020-11-07 07:45:00,4600.0,97.9,21.8,736.0,535.0,3.8,0.10226687578794723 -2020-11-07 08:15:00,4100.0,122.8,21.5,736.0,535.0,6.0,0.12445749588691776 -2020-11-07 08:45:00,4000.0,146.1,21.6,823.0,550.0,4.2,0.15847591541109327 -2020-11-07 09:45:00,2900.0,136.5,28.9,851.0,521.0,9.2,0.11028458038382066 -2020-11-07 11:00:00,2300.0,166.2,38.2,577.0,366.0,7.0,0.027709539165335053 -2020-11-07 11:15:00,2300.0,161.1,47.1,577.0,366.0,7.6,0.09972884354126461 -2020-11-07 13:00:00,2300.0,138.9,56.6,368.0,206.0,15.0,0.13080764326955605 -2020-11-07 14:30:00,1900.0,112.2,51.8,327.0,170.0,12.2,0.05447103943036741 -2020-11-07 14:45:00,1800.0,111.5,69.7,274.0,130.0,12.6,0.023675951325595496 -2020-11-07 16:45:00,2500.0,168.5,19.7,371.0,145.0,15.8,0.09228722432348281 -2020-11-07 17:00:00,3000.0,174.4,15.8,371.0,145.0,19.4,0.08940417406048908 -2020-11-07 19:45:00,7300.0,177.8,21.2,624.0,260.0,28.0,0.0588967132792874 -2020-11-08 09:30:00,3000.0,147.6,19.5,520.0,333.0,4.2,0.15186613335891114 -2020-11-08 10:15:00,3400.0,142.4,24.1,701.0,431.0,19.2,0.06594997403335329 -2020-11-08 10:30:00,3400.0,163.1,27.5,701.0,431.0,31.3,0.06589035130035409 -2020-11-08 10:45:00,3900.0,190.8,28.6,827.0,625.0,36.4,0.0715229921929464 -2020-11-08 12:45:00,3200.0,186.8,84.7,698.0,487.0,44.7,0.13950414533330052 -2020-11-08 13:15:00,3000.0,203.0,73.0,698.0,487.0,43.8,0.07097796355028539 -2020-11-08 13:30:00,3000.0,188.9,80.1,698.0,487.0,46.3,0.055299444553057894 -2020-11-08 14:15:00,2100.0,155.7,60.7,768.0,499.0,28.5,0.13567738562590975 -2020-11-08 16:45:00,2900.0,210.9,17.1,572.0,313.0,31.2,0.06154803713425798 -2020-11-08 18:45:00,6200.0,191.1,19.5,752.0,359.0,22.1,0.04513160802106615 -2020-11-08 19:00:00,9800.0,199.7,19.6,752.0,359.0,26.3,0.14467212920687775 -2020-11-08 19:45:00,10.0,228.3,24.0,834.0,398.0,35.5,0.12336397725095667 -2020-11-08 20:30:00,10.0,232.6,20.7,834.0,398.0,45.6,0.025675096154497694 -2020-11-08 20:45:00,10.0,211.4,20.3,1064.0,496.0,42.6,0.08214023217356457 -2020-11-08 21:30:00,10.0,199.0,22.3,1064.0,496.0,40.6,0.0987507787551378 -2020-11-08 21:45:00,10.0,195.3,22.7,879.0,478.0,39.6,0.10579819654488411 -2020-11-08 22:15:00,10.0,191.0,23.6,879.0,478.0,46.3,0.02123205912400122 -2020-11-08 22:30:00,10.0,176.7,23.2,879.0,478.0,47.3,0.024003065742572813 -2020-11-08 22:45:00,10.0,198.5,23.2,970.0,554.0,48.7,0.14795602639422376 -2020-11-08 23:45:00,10.0,145.7,23.2,923.0,542.0,43.5,0.12245520815671483 -2020-11-09 00:30:00,9900.0,131.5,23.6,923.0,542.0,6.8,0.02992919516210327 -2020-11-09 01:15:00,9400.0,107.1,,831.0,521.0,4.0,0.05955281460898011 -2020-11-09 02:45:00,6800.0,95.4,27.0,759.0,530.0,,0.10126296160184217 -2020-11-09 03:30:00,5600.0,100.9,25.6,759.0,530.0,,0.14587297289733256 -2020-11-09 05:00:00,5000.0,116.3,22.5,682.0,518.0,,0.16388930536677207 -2020-11-09 05:30:00,4500.0,100.7,20.3,682.0,518.0,,0.12630343415067768 -2020-11-09 07:15:00,5600.0,109.5,21.9,721.0,540.0,8.2,0.08904304172361177 -2020-11-09 07:30:00,5400.0,110.3,20.9,721.0,540.0,10.9,0.10397406645308438 -2020-11-09 16:30:00,3200.0,224.0,15.7,406.0,247.0,27.5,0.07018367904806616 -2020-11-09 17:15:00,4400.0,183.3,15.8,534.0,319.0,28.0,0.09944754447373758 -2020-11-09 17:45:00,5000.0,218.1,18.2,727.0,363.0,23.6,0.11744911548122441 -2020-11-09 19:15:00,7000.0,224.2,15.6,892.0,562.0,13.5,0.0663541279670255 -2020-11-09 20:45:00,7100.0,190.3,15.4,1116.0,843.0,16.8,0.11067456320712582 -2020-11-09 21:30:00,7800.0,,14.0,1116.0,843.0,18.0,0.12412154120626082 -2020-11-09 22:15:00,7700.0,183.3,15.3,1266.0,876.0,16.4,0.1553477996710379 -2020-11-09 22:45:00,7900.0,174.7,15.0,1360.0,930.0,20.9,0.10401534546254747 -2020-11-09 23:00:00,8400.0,188.0,17.0,1360.0,930.0,24.8,0.15602219669305567 -2020-11-09 23:45:00,8200.0,170.5,14.9,1284.0,953.0,28.8,0.15372930758518605 -2020-11-10 00:00:00,,145.4,16.0,1284.0,953.0,,0.1431837235105354 -2020-11-10 01:30:00,7500.0,119.4,24.4,1207.0,941.0,10.9,0.12749208225748826 -2020-11-10 02:00:00,,,15.5,1201.0,948.0,,0.10316965976227181 -2020-11-10 02:15:00,,,17.8,1201.0,948.0,,0.1400266734829288 -2020-11-10 02:45:00,6800.0,83.9,16.2,1164.0,936.0,8.4,0.020700424345918678 -2020-11-10 03:00:00,6500.0,80.0,15.9,1164.0,936.0,9.3,0.15278817591573424 -2020-11-10 03:15:00,6500.0,80.7,17.1,1164.0,936.0,8.3,0.15773690647941735 -2020-11-10 05:15:00,6600.0,121.5,16.4,1136.0,948.0,5.5,0.1253366531383191 -2020-11-10 05:30:00,6200.0,102.3,16.4,1136.0,948.0,5.2,0.08579504995460567 -2020-11-10 06:15:00,6400.0,83.6,15.8,1276.0,1028.0,7.2,0.158798620405578 -2020-11-10 06:30:00,7700.0,98.3,15.8,1276.0,1028.0,16.2,0.12311534968219744 -2020-11-10 06:45:00,6700.0,101.3,16.4,1070.0,922.0,19.0,0.09402230351298917 -2020-11-10 07:00:00,7400.0,87.2,15.7,1070.0,922.0,17.7,0.056176647535366664 -2020-11-10 07:15:00,6500.0,94.4,15.8,1070.0,922.0,16.6,0.03654533561369181 -2020-11-10 08:15:00,5900.0,217.2,25.5,1124.0,909.0,15.6,0.11110553107940986 -2020-11-10 08:45:00,5900.0,254.6,38.4,1360.0,1175.0,11.5,0.05880150804694112 -2020-11-10 09:30:00,6200.0,335.2,14.3,1360.0,1175.0,16.5,0.06299763470259356 -2020-11-10 09:45:00,6100.0,313.6,14.4,1512.0,1325.0,21.6,0.06673543155171786 -2020-11-10 10:00:00,4900.0,254.8,23.2,1512.0,1325.0,28.2,0.03658893875621917 -2020-11-10 11:15:00,2700.0,136.0,66.5,1257.0,978.0,24.0,0.024031950517970687 -2020-11-10 12:00:00,,107.2,121.9,626.0,454.0,,0.08340496918101295 -2020-11-10 16:00:00,1800.0,88.1,51.8,167.0,85.0,9.7,0.09173580397947487 -2020-11-10 16:15:00,1700.0,93.2,51.6,167.0,85.0,9.7,0.08386985094755299 -2020-11-10 17:45:00,4000.0,128.6,13.0,313.0,127.0,19.1,0.15998958080657813 -2020-11-10 19:00:00,5800.0,131.5,13.4,483.0,160.0,27.7,0.03314192259404884 -2020-11-10 20:30:00,6700.0,109.1,17.7,624.0,224.0,30.5,0.04725060696802226 -2020-11-10 21:30:00,7700.0,117.0,26.1,644.0,247.0,42.3,0.1325713991516114 -2020-11-10 21:45:00,7000.0,82.8,26.4,755.0,314.0,37.9,0.11930825448032545 -2020-11-10 23:15:00,8200.0,104.3,35.3,731.0,360.0,46.4,0.14959467818730451 -2020-11-11 01:15:00,5900.0,83.7,,619.0,372.0,13.5,0.037020204538710355 -2020-11-11 01:45:00,6200.0,80.6,,,,14.6,0.10016748905500339 -2020-11-11 02:15:00,,,31.7,605.0,363.0,,0.03252838978421493 -2020-11-11 02:45:00,6000.0,87.2,49.0,545.0,342.0,8.9,0.09153509095270337 -2020-11-11 05:15:00,4500.0,81.1,34.4,521.0,335.0,13.7,0.03250984638775737 -2020-11-11 06:15:00,4500.0,79.1,372.7,487.0,318.0,18.8,0.052497877480874144 -2020-11-11 06:45:00,5700.0,71.1,255.4,565.0,348.0,21.2,0.0721195564152573 -2020-11-11 07:15:00,5600.0,91.9,131.0,565.0,348.0,23.7,0.12003708976533348 -2020-11-11 07:45:00,4900.0,115.7,61.0,622.0,376.0,20.5,0.115346687029637 -2020-11-11 08:15:00,3600.0,145.5,27.4,622.0,376.0,24.5,0.047306977718504284 -2020-11-11 09:15:00,2900.0,134.7,17.5,538.0,330.0,57.3,0.09009388891131617 -2020-11-11 09:30:00,2700.0,115.2,20.6,538.0,330.0,56.8,0.16361125197355428 -2020-11-11 10:15:00,2500.0,101.3,26.6,462.0,287.0,48.0,0.0938114863729413 -2020-11-11 10:30:00,2500.0,119.7,26.8,462.0,287.0,47.3,0.16036446012868907 -2020-11-11 12:15:00,1800.0,90.8,41.7,379.0,208.0,22.1,0.03739638535151067 -2020-11-11 13:00:00,1500.0,61.0,64.6,206.0,108.0,14.3,0.04802081137373446 -2020-11-11 13:45:00,1400.0,68.0,59.2,149.0,88.0,9.1,0.0652092243694924 -2020-11-11 14:15:00,1400.0,64.2,60.3,149.0,88.0,9.2,0.09526488230066146 -2020-11-11 15:15:00,1600.0,48.1,73.0,122.0,65.0,7.1,0.08115015793851851 -2020-11-11 17:15:00,2500.0,118.4,17.2,,,4.8,0.15970766904034858 -2020-11-11 19:30:00,6500.0,134.9,22.1,456.0,179.0,37.4,0.13804633070925754 -2020-11-11 23:00:00,8400.0,93.9,25.1,940.0,343.0,44.0,0.15808591879192974 -2020-11-11 23:15:00,8500.0,101.3,23.8,940.0,343.0,43.3,0.07896788766787964 -2020-11-12 08:45:00,2500.0,137.7,4.7,411.0,264.0,205.5,0.16136910665367574 -2020-11-12 09:00:00,2400.0,175.3,22.3,411.0,264.0,302.6,0.14486192394665046 -2020-11-12 10:45:00,1600.0,129.9,29.8,320.0,165.0,20.7,0.10315346570335707 -2020-11-12 11:00:00,1600.0,101.8,43.8,320.0,165.0,16.1,0.06469231661513501 -2020-11-12 11:45:00,1100.0,108.1,54.1,289.0,164.0,,0.12533700248008384 -2020-11-12 12:00:00,,,,289.0,164.0,,0.13854613400435303 -2020-11-12 12:15:00,1700.0,89.8,49.0,289.0,164.0,11.7,0.06119375824392699 -2020-11-12 13:00:00,1700.0,103.2,55.9,207.0,92.0,15.3,0.08136865717217505 -2020-11-12 14:00:00,2200.0,129.5,46.7,174.0,86.0,17.5,0.12135353490340735 -2020-11-12 14:15:00,1700.0,93.5,61.1,174.0,86.0,16.0,0.10360428117698729 -2020-11-12 15:15:00,1800.0,156.9,34.8,222.0,97.0,19.0,0.1248792881021912 -2020-11-12 15:30:00,1800.0,103.7,70.5,222.0,97.0,18.3,0.15118526811630137 -2020-11-12 16:45:00,2900.0,163.7,17.0,293.0,111.0,24.0,0.07361275836624631 -2020-11-12 17:15:00,2700.0,169.7,10.3,293.0,111.0,21.9,0.11515205833345656 -2020-11-12 18:30:00,3900.0,172.3,14.2,396.0,125.0,18.3,0.035303017897362586 -2020-11-12 20:15:00,5900.0,171.5,17.1,698.0,231.0,30.1,0.11025298819886663 -2020-11-12 21:45:00,9500.0,165.3,19.1,658.0,255.0,35.0,0.1228130362269245 -2020-11-12 23:00:00,6800.0,187.9,16.2,585.0,252.0,23.8,0.024229019779487 -2020-11-13 04:45:00,5900.0,71.4,29.4,776.0,508.0,7.6,0.033789814245269424 -2020-11-13 05:00:00,6700.0,69.6,27.1,776.0,508.0,10.4,0.11479419819482604 -2020-11-13 05:15:00,6200.0,73.0,23.6,776.0,508.0,9.0,0.05904168844849411 -2020-11-13 06:45:00,4700.0,97.7,23.4,567.0,347.0,1.1,0.07475977956524987 -2020-11-13 09:15:00,3200.0,194.9,24.2,563.0,345.0,2.2,0.07721150453818852 -2020-11-13 16:15:00,2600.0,178.9,36.9,284.0,139.0,13.4,0.07029391968348808 -2020-11-13 16:30:00,2600.0,188.9,17.3,284.0,139.0,14.8,0.027674028513696436 -2020-11-13 17:30:00,3300.0,189.3,14.5,287.0,111.0,16.1,0.06515771803458414 -2020-11-13 20:15:00,5700.0,137.9,15.2,571.0,238.0,20.3,0.12047815949850242 -2020-11-14 01:15:00,5100.0,105.2,,589.0,423.0,10.6,0.11700646598926827 -2020-11-14 02:45:00,5800.0,93.9,15.8,660.0,461.0,11.6,0.10090235283303615 -2020-11-14 03:45:00,3700.0,95.0,15.3,657.0,465.0,5.3,0.08530364555151691 -2020-11-14 04:00:00,3300.0,92.4,15.1,657.0,465.0,4.1,0.09912612111004356 -2020-11-14 04:45:00,3700.0,75.6,15.4,622.0,473.0,4.1,0.12638343329101093 -2020-11-14 06:30:00,4400.0,99.8,15.6,642.0,488.0,12.8,0.16050461503277752 -2020-11-14 09:00:00,3700.0,125.8,14.5,688.0,455.0,6.6,0.126703601622579 -2020-11-14 09:30:00,3700.0,152.5,15.9,688.0,455.0,8.6,0.09361322819682831 -2020-11-14 10:15:00,3600.0,188.5,19.6,737.0,545.0,24.4,0.08616601360913982 -2020-11-14 10:45:00,3800.0,193.9,20.2,722.0,535.0,43.0,0.05963931277114083 -2020-11-14 13:00:00,2600.0,112.3,63.9,690.0,510.0,27.7,0.15763994258044375 -2020-11-14 13:15:00,2300.0,105.6,67.5,690.0,510.0,25.4,0.11443236394945087 -2020-11-14 14:45:00,2000.0,98.3,72.3,259.0,185.0,13.7,0.08580313615979583 -2020-11-14 22:30:00,5800.0,135.2,30.4,986.0,684.0,31.3,0.07844565245143341 -2020-11-14 22:45:00,5800.0,133.5,27.9,1184.0,721.0,29.1,0.14328108443149537 -2020-11-14 23:00:00,5600.0,135.3,27.7,1184.0,721.0,29.2,0.06694440522300638 -2020-11-15 03:45:00,2500.0,,,,,,0.14102068511006116 -2020-11-15 04:00:00,,89.3,32.2,829.0,891.0,12.6,0.052417564181342774 -2020-11-15 04:15:00,3200.0,81.3,32.5,829.0,891.0,9.7,0.06464145745963204 -2020-11-15 04:30:00,3300.0,73.4,31.9,829.0,891.0,9.2,0.06718920682770929 -2020-11-15 04:45:00,3200.0,83.3,30.4,677.0,559.0,9.5,0.15690574511144378 -2020-11-15 05:30:00,3200.0,93.0,20.4,677.0,559.0,9.4,0.08515930661245855 -2020-11-15 06:00:00,4900.0,81.2,19.1,561.0,418.0,,0.11938613994736262 -2020-11-15 08:00:00,2700.0,110.6,15.8,487.0,357.0,14.1,0.136974169434839 -2020-11-15 09:15:00,2300.0,,35.5,514.0,575.0,15.9,0.14887753008995716 -2020-11-15 09:45:00,2400.0,,45.3,490.0,359.0,15.0,0.05961723390846185 -2020-11-15 11:15:00,2000.0,,75.5,464.0,498.0,10.0,0.1496406169431921 -2020-11-15 13:15:00,1600.0,,81.1,338.0,373.0,,0.14667810439974657 -2020-11-15 16:15:00,,,51.2,250.0,152.0,,0.15893339204787701 -2020-11-15 16:45:00,,,21.8,,172.0,,0.1543068695100428 -2020-11-15 17:45:00,,,28.3,189.0,141.0,,0.0962556763424004 -2020-11-15 18:15:00,,,45.3,189.0,141.0,,0.06601636960393695 -2020-11-15 19:15:00,2400.0,,74.5,96.0,88.0,23.0,0.10583054501699553 -2020-11-16 00:00:00,,45.1,43.9,271.0,207.0,,0.11016577776665798 -2020-11-16 00:45:00,1800.0,35.9,51.9,206.0,170.0,15.0,0.08790214968177297 -2020-11-16 03:45:00,1900.0,40.4,44.9,162.0,130.0,8.2,0.06273464211734109 -2020-11-16 06:00:00,,50.0,20.7,194.0,123.0,,0.020066446887549785 -2020-11-16 06:15:00,1600.0,54.3,48.9,194.0,123.0,12.0,0.041085606346874054 -2020-11-16 07:15:00,1700.0,56.5,50.3,144.0,85.0,17.9,0.02477741259344871 -2020-11-16 10:15:00,1500.0,40.3,40.5,128.0,81.0,9.2,0.10798169147976125 -2020-11-16 15:30:00,1900.0,39.2,64.6,70.0,,8.4,0.1649760077683433 -2020-11-16 15:45:00,2100.0,57.4,48.1,81.0,47.0,8.4,0.160800443237679 -2020-11-16 16:45:00,2400.0,71.3,32.5,128.0,,9.1,0.04647545213906337 -2020-11-16 17:45:00,2700.0,93.3,13.8,128.0,59.0,10.1,0.08542517475406688 -2020-11-16 18:15:00,2300.0,93.4,13.5,164.0,72.0,9.1,0.11149310428951058 -2020-11-16 20:00:00,3200.0,93.1,13.5,265.0,116.0,10.2,0.021159351852804743 -2020-11-16 22:15:00,3400.0,92.6,13.7,268.0,112.0,12.2,0.12230973981773793 -2020-11-16 22:45:00,3400.0,67.9,14.2,309.0,131.0,10.9,0.02571273701209326 -2020-11-17 00:00:00,,62.2,13.7,300.0,139.0,,0.0821661902714672 -2020-11-17 03:30:00,1800.0,35.2,12.4,152.0,99.0,5.2,0.06804938003920563 -2020-11-17 04:00:00,1900.0,36.2,12.3,127.0,68.0,5.2,0.07225568038932646 -2020-11-17 04:15:00,2000.0,38.2,12.5,127.0,,5.0,0.09560588912509971 -2020-11-17 05:00:00,2800.0,43.5,12.3,101.0,67.0,8.1,0.14709904854794587 -2020-11-17 05:45:00,2200.0,35.5,12.3,200.0,81.0,7.5,0.07242610137011879 -2020-11-17 07:00:00,3000.0,45.7,12.4,196.0,79.0,10.5,0.04254185071816905 -2020-11-17 08:45:00,2600.0,63.7,13.5,232.0,96.0,11.7,0.11214500179391779 -2020-11-17 10:45:00,2300.0,88.6,18.0,189.0,,13.3,0.14032553592902394 -2020-11-17 11:15:00,2400.0,89.0,20.5,189.0,90.0,11.2,0.1454554135729796 -2020-11-17 13:00:00,1900.0,90.3,32.0,177.0,66.0,10.0,0.1568158219067629 -2020-11-17 14:45:00,2300.0,72.9,39.8,124.0,46.0,7.9,0.13420552647521758 -2020-11-17 21:00:00,2700.0,95.4,12.5,273.0,123.0,8.2,0.055629646794855436 -2020-11-17 21:45:00,2300.0,100.5,12.7,296.0,166.0,7.4,0.03283501748588216 -2020-11-17 22:00:00,2600.0,92.7,12.5,296.0,166.0,5.7,0.06031615836504463 -2020-11-18 00:45:00,1700.0,69.1,18.6,216.0,112.0,2.6,0.13083372423374076 -2020-11-18 01:00:00,1700.0,66.0,,216.0,112.0,1.8,0.15106971550124448 -2020-11-18 01:15:00,1700.0,74.2,,216.0,112.0,2.7,0.15742865092664493 -2020-11-18 01:45:00,,,,,,0.7,0.02164324849945174 -2020-11-18 02:30:00,1200.0,40.3,23.2,178.0,98.0,,0.04279720105652762 -2020-11-18 06:45:00,2200.0,70.1,12.0,387.0,134.0,7.6,0.14285745178220316 -2020-11-18 08:45:00,2300.0,84.8,19.9,237.0,110.0,5.7,0.07249761162642498 -2020-11-18 10:45:00,2200.0,105.7,26.8,197.0,100.0,6.7,0.14049026049292135 -2020-11-18 12:15:00,1900.0,108.0,64.0,160.0,80.0,7.8,0.15815401543572086 -2020-11-18 13:15:00,2200.0,114.2,66.8,235.0,102.0,6.7,0.12270144756027047 -2020-11-18 13:45:00,2100.0,118.5,63.1,153.0,79.0,6.7,0.05039868897032633 -2020-11-18 15:15:00,2300.0,95.9,78.5,183.0,87.0,7.1,0.1146604635169183 -2020-11-18 18:45:00,3300.0,123.1,11.7,321.0,100.0,13.0,0.034616021655844216 -2020-11-18 21:00:00,3100.0,134.4,11.8,339.0,146.0,10.4,0.04179529836561137 -2020-11-19 01:45:00,2800.0,91.9,13.7,343.0,226.0,11.2,0.13859099701299576 -2020-11-19 02:15:00,,,13.6,343.0,226.0,,0.02719620122423057 -2020-11-19 03:15:00,1800.0,89.0,15.1,481.0,364.0,14.2,0.12510988368646098 -2020-11-19 04:30:00,2400.0,73.7,13.7,449.0,440.0,13.8,0.037923930226680926 -2020-11-19 05:00:00,1800.0,77.0,12.5,476.0,373.0,11.2,0.06145122661883004 -2020-11-19 05:15:00,1700.0,74.4,12.2,476.0,373.0,9.9,0.07387307513278428 -2020-11-19 05:30:00,2200.0,77.6,12.1,476.0,373.0,12.4,0.05251581750300936 -2020-11-19 07:30:00,4300.0,91.0,12.6,266.0,168.0,18.9,0.11944239031068316 -2020-11-19 10:15:00,2300.0,85.9,35.4,384.0,228.0,32.1,0.14488486603518022 -2020-11-19 14:00:00,1800.0,91.0,54.8,212.0,107.0,7.8,0.15416754942368277 -2020-11-19 17:00:00,1700.0,121.6,29.5,356.0,74.0,10.6,0.13924863647652796 -2020-11-19 21:15:00,2600.0,120.3,15.5,364.0,265.0,20.9,0.1113586198208305 -2020-11-20 00:15:00,2000.0,93.2,13.8,338.0,217.0,7.3,0.0814262175296448 -2020-11-20 01:15:00,2300.0,88.1,,342.0,230.0,6.3,0.0447575943303007 -2020-11-20 03:00:00,1900.0,70.1,32.9,298.0,225.0,7.3,0.16124911035313907 -2020-11-20 04:00:00,1700.0,81.3,23.6,287.0,236.0,8.1,0.059702361677142435 -2020-11-20 05:15:00,2300.0,103.8,14.2,300.0,227.0,14.4,0.07260689325300157 -2020-11-20 05:45:00,2400.0,77.5,16.4,285.0,186.0,15.3,0.0347263893900978 -2020-11-20 07:15:00,3300.0,93.0,12.8,306.0,169.0,24.5,0.06904102233036953 -2020-11-20 08:30:00,2600.0,99.7,17.5,293.0,188.0,33.3,0.15924507808262467 -2020-11-20 09:30:00,2500.0,81.6,38.5,309.0,168.0,20.0,0.13607652694854336 -2020-11-20 09:45:00,2700.0,90.7,36.3,272.0,152.0,20.8,0.06037077979250871 -2020-11-20 10:00:00,2700.0,88.7,37.3,272.0,152.0,18.4,0.04170568744347888 -2020-11-20 11:45:00,2500.0,109.4,49.9,251.0,129.0,11.4,0.03070321792405169 -2020-11-20 13:45:00,1700.0,94.4,53.6,194.0,79.0,9.5,0.10414697750586116 -2020-11-20 14:30:00,1700.0,81.9,60.6,194.0,79.0,8.3,0.04632813794011798 -2020-11-20 18:15:00,2500.0,111.6,13.7,188.0,71.0,11.1,0.14206359068888547 -2020-11-20 19:30:00,3800.0,128.2,12.5,272.0,110.0,15.4,0.08023126052337312 -2020-11-20 19:45:00,3300.0,116.2,12.4,438.0,146.0,15.2,0.14892323067515656 -2020-11-21 04:45:00,2000.0,59.9,23.5,175.0,132.0,7.5,0.07028190853360962 -2020-11-21 05:00:00,2100.0,63.2,22.0,175.0,132.0,7.3,0.15418689642315356 -2020-11-21 06:45:00,2300.0,41.2,21.4,227.0,87.0,8.7,0.03033502215321589 -2020-11-21 07:45:00,2200.0,64.0,23.4,229.0,158.0,11.8,0.0635054039998266 -2020-11-21 10:45:00,1900.0,79.3,39.2,243.0,125.0,8.5,0.1274740758818512 -2020-11-21 11:15:00,1700.0,69.5,51.8,243.0,125.0,3.4,0.07365094948029798 -2020-11-21 15:30:00,1600.0,66.7,58.6,163.0,45.0,5.6,0.09420939759175612 -2020-11-21 17:30:00,2400.0,99.0,24.6,144.0,59.0,6.4,0.15200457965437017 -2020-11-21 18:30:00,3400.0,123.5,13.1,155.0,68.0,12.6,0.0976975503813832 -2020-11-21 21:15:00,5000.0,117.8,12.3,448.0,179.0,17.4,0.1373387081473736 -2020-11-22 03:15:00,1900.0,56.8,18.8,215.0,149.0,6.4,0.1355800548212042 -2020-11-22 08:45:00,2700.0,77.1,13.8,372.0,213.0,6.3,0.13000460551378892 -2020-11-22 09:15:00,2500.0,98.2,16.2,372.0,213.0,7.6,0.07984711411344778 -2020-11-22 10:45:00,2200.0,97.5,32.6,453.0,171.0,13.2,0.10242630505976694 -2020-11-22 12:30:00,1900.0,93.8,57.1,229.0,122.0,9.6,0.12411230903327188 -2020-11-22 13:45:00,1700.0,71.8,65.7,182.0,75.0,5.6,0.1640522458280081 -2020-11-22 14:30:00,1700.0,74.9,55.9,182.0,75.0,5.8,0.13393051809358367 -2020-11-22 14:45:00,1800.0,77.5,64.3,158.0,65.0,5.9,0.09677016862767858 -2020-11-22 15:15:00,1900.0,91.1,44.0,158.0,65.0,7.5,0.06064735010548171 -2020-11-23 07:00:00,4700.0,78.1,12.1,406.0,231.0,4.3,0.02349471775088035 -2020-11-23 07:30:00,3500.0,75.6,11.5,406.0,231.0,3.3,0.14053671132113502 -2020-11-23 08:30:00,2600.0,100.7,12.8,415.0,210.0,,0.0758115175091377 -2020-11-23 16:45:00,2400.0,182.4,13.0,205.0,124.0,22.2,0.02335365670960113 -2020-11-23 21:45:00,6900.0,174.0,159.1,679.0,355.0,66.4,0.03970584432570348 -2020-11-23 22:15:00,7600.0,168.3,143.4,679.0,355.0,46.7,0.023369073906797384 -2020-11-24 01:00:00,7100.0,123.6,,746.0,420.0,13.2,0.12309090335357342 -2020-11-24 03:00:00,5700.0,82.2,41.9,652.0,461.0,,0.06923438107835077 -2020-11-24 03:30:00,4700.0,100.5,37.7,652.0,461.0,,0.05163520301475394 -2020-11-24 05:45:00,6200.0,110.2,126.5,692.0,399.0,17.0,0.09900125995518898 -2020-11-24 06:15:00,7800.0,113.2,167.2,692.0,399.0,23.3,0.031931850740972066 -2020-11-24 09:45:00,3100.0,177.7,16.7,558.0,340.0,34.1,0.11032315330996313 -2020-11-24 13:30:00,1900.0,59.7,137.4,285.0,184.0,30.8,0.14599921866917137 -2020-11-24 20:45:00,5200.0,164.1,32.7,690.0,415.0,90.0,0.11118139488117276 -2020-11-25 04:30:00,4000.0,95.3,69.3,661.0,462.0,35.6,0.08342981126747251 -2020-11-25 06:45:00,4300.0,102.9,21.3,532.0,381.0,41.2,0.09353470357688495 -2020-11-26 01:15:00,2400.0,68.4,,221.0,153.0,17.9,0.07053431047485154 -2020-11-27 07:00:00,1800.0,47.5,13.3,140.0,91.0,7.9,0.11430476642682941 -2020-11-27 08:15:00,1900.0,64.4,13.8,153.0,96.0,13.7,0.04667874031210249 -2020-11-27 13:45:00,1700.0,111.8,28.1,141.0,52.0,5.7,0.15418456799362085 -2020-11-28 01:30:00,1800.0,71.2,13.9,239.0,126.0,2.2,0.02029300533824367 -2020-11-28 02:15:00,,,15.4,175.0,115.0,,0.05143358541669127 -2020-11-28 04:45:00,2300.0,66.8,12.8,213.0,149.0,,0.0629717987625067 -2020-11-28 05:45:00,2500.0,95.1,12.7,282.0,161.0,,0.08167608529417521 -2020-11-28 07:30:00,2900.0,73.6,12.6,304.0,160.0,10.3,0.09454579358380089 -2020-11-28 08:45:00,2300.0,67.4,17.0,267.0,164.0,10.7,0.08245631577316895 -2020-11-28 20:45:00,6300.0,138.7,13.5,379.0,168.0,18.7,0.07994423906316225 -2020-11-28 21:15:00,5600.0,114.0,14.0,379.0,168.0,13.4,0.03251671908486706 -2020-11-28 21:30:00,5600.0,109.4,13.3,379.0,168.0,14.1,0.12997270032952105 -2020-11-28 22:30:00,5400.0,116.5,13.3,466.0,191.0,11.9,0.04071254804318895 -2020-11-29 01:15:00,3000.0,92.9,,285.0,178.0,2.9,0.07603031140301626 -2020-11-29 01:45:00,2900.0,90.4,12.6,279.0,173.0,2.6,0.12957165506982946 -2020-11-29 03:00:00,2600.0,88.1,12.4,249.0,156.0,1.3,0.04448186923271082 -2020-11-29 04:15:00,2500.0,88.6,11.6,211.0,144.0,6.4,0.09099924323303 -2020-11-29 06:30:00,2200.0,71.5,12.0,276.0,,8.5,0.05382243376888943 -2020-11-29 07:45:00,3100.0,83.9,12.2,241.0,,12.1,0.1027150702878622 -2020-11-29 08:30:00,2300.0,94.2,12.8,241.0,,4.8,0.07581370442525091 -2020-11-29 13:45:00,2300.0,115.9,55.8,232.0,138.0,16.3,0.030378729527229167 -2020-11-29 14:30:00,2100.0,123.1,47.8,232.0,138.0,16.2,0.0628479464571838 -2020-11-29 15:30:00,1700.0,123.1,35.7,291.0,149.0,15.5,0.10768607580277864 -2020-11-29 18:30:00,5400.0,111.9,13.8,235.0,117.0,23.6,0.13050212499718594 -2020-11-29 19:15:00,5300.0,138.5,13.9,315.0,147.0,30.4,0.06980267801890158 -2020-11-30 02:30:00,5600.0,61.7,18.6,490.0,323.0,,0.11277931407731846 -2020-11-30 03:15:00,5800.0,85.2,16.8,525.0,317.0,5.2,0.07016044552123084 -2020-11-30 03:45:00,4800.0,95.3,15.7,477.0,286.0,1.2,0.13703725964626756 -2020-11-30 05:00:00,3000.0,94.7,13.2,373.0,252.0,0.1,0.02893407580952266 -2020-11-30 12:45:00,2300.0,124.0,38.6,255.0,156.0,9.2,0.07184057959415205 -2020-11-30 13:45:00,2400.0,127.1,48.5,215.0,123.0,10.2,0.04334881570412079 -2020-11-30 20:30:00,8600.0,139.6,14.5,566.0,237.0,31.1,0.10210792885929398 -2020-11-30 21:15:00,8800.0,133.3,13.5,681.0,312.0,23.3,0.07898263960320578 -2020-11-30 23:15:00,8700.0,112.2,14.1,806.0,367.0,25.9,0.10425125405564181 -2020-12-01 18:15:00,4500.0,162.9,12.6,396.0,,36.8,0.14148599944148174 -2020-12-01 20:45:00,8300.0,140.6,14.0,619.0,,20.0,0.15675373911615556 -2020-12-01 21:15:00,9300.0,143.6,13.9,619.0,,27.5,0.0966019211845644 -2020-12-01 21:45:00,8900.0,140.6,13.7,835.0,,25.6,0.06564427054329458 -2020-12-01 23:00:00,10.0,133.8,13.5,914.0,,28.4,0.13846102778318212 -2020-12-02 05:15:00,4600.0,74.0,14.3,556.0,,9.6,0.08073467341547973 -2020-12-02 05:45:00,4000.0,85.6,13.3,527.0,,7.4,0.14968320800479207 -2020-12-02 08:15:00,2800.0,112.5,12.4,467.0,189.0,2.4,0.12587372803699437 -2020-12-02 09:15:00,2300.0,118.2,14.0,422.0,279.0,9.7,0.11299749109059042 -2020-12-02 09:30:00,2500.0,123.8,13.7,422.0,279.0,11.3,0.029915055252187107 -2020-12-02 09:45:00,2500.0,150.9,13.3,409.0,278.0,13.7,0.05759596000658812 -2020-12-02 10:15:00,2200.0,134.1,14.4,409.0,278.0,13.1,0.12494145013634883 -2020-12-02 11:30:00,,155.7,17.6,418.0,279.0,9.7,0.11223602471212205 -2020-12-03 00:30:00,3500.0,101.7,13.1,475.0,257.0,3.1,0.07909938380458431 -2020-12-03 01:15:00,2500.0,115.7,,332.0,239.0,1.9,0.12561182808874002 -2020-12-03 03:30:00,1800.0,83.5,12.6,348.0,244.0,4.0,0.13824408162737936 -2020-12-03 04:15:00,1600.0,115.7,12.9,346.0,239.0,5.1,0.1212904990904091 -2020-12-03 08:15:00,3800.0,106.2,12.6,365.0,227.0,5.2,0.024216603554509063 -2020-12-03 09:30:00,2800.0,127.2,13.0,360.0,227.0,3.6,0.10445459684016191 -2020-12-03 20:45:00,8200.0,157.0,12.5,589.0,251.0,14.1,0.1615139496686833 -2020-12-03 21:45:00,8400.0,151.4,12.2,631.0,297.0,18.8,0.08288229509877627 -2020-12-04 07:15:00,8400.0,80.7,63.5,536.0,377.0,33.3,0.11379040863987308 -2020-12-04 11:00:00,1800.0,120.0,51.4,537.0,332.0,27.3,0.08198800972415297 -2020-12-04 11:30:00,1800.0,126.6,65.4,537.0,332.0,19.7,0.12176572147615468 -2020-12-04 11:45:00,2000.0,137.4,65.2,432.0,278.0,16.7,0.08688658702431408 -2020-12-04 12:00:00,,121.6,82.4,432.0,278.0,,0.11886489292219726 -2020-12-04 13:15:00,2900.0,112.2,97.9,407.0,268.0,32.2,0.14793471649046075 -2020-12-04 15:45:00,3400.0,152.5,83.7,333.0,196.0,27.5,0.060814695528818644 -2020-12-04 18:30:00,4100.0,177.4,15.3,458.0,249.0,19.0,0.10686004665289008 -2020-12-04 19:15:00,4500.0,174.9,15.0,582.0,343.0,18.7,0.12908936527825451 -2020-12-04 20:00:00,3500.0,160.2,14.9,615.0,358.0,,0.040419449952518074 -2020-12-04 22:45:00,3100.0,100.0,23.0,417.0,319.0,,0.15904337222386122 -2020-12-05 00:15:00,2400.0,77.3,27.6,442.0,339.0,,0.06165914959912651 -2020-12-05 01:15:00,2300.0,66.2,,423.0,327.0,0.5,0.10497884225133895 -2020-12-05 02:15:00,,,33.9,404.0,320.0,,0.14306327458828533 -2020-12-05 02:45:00,2400.0,63.7,29.1,401.0,337.0,0.4,0.13140268913776318 -2020-12-05 04:45:00,2500.0,80.1,25.8,384.0,326.0,3.4,0.13020735919610268 -2020-12-05 07:00:00,2800.0,91.3,17.0,377.0,304.0,4.6,0.10800203649916124 -2020-12-05 08:15:00,2600.0,83.5,25.7,440.0,366.0,2.7,0.1178460566365541 -2020-12-05 08:30:00,2500.0,76.9,32.2,440.0,366.0,2.4,0.04773642063108595 -2020-12-05 09:30:00,2600.0,62.5,44.2,420.0,340.0,3.2,0.1045348747119892 -2020-12-05 12:15:00,2200.0,86.3,69.6,387.0,289.0,13.5,0.05116021082405345 -2020-12-05 13:15:00,2100.0,87.1,74.8,339.0,238.0,13.1,0.046633422109121164 -2020-12-05 17:45:00,2900.0,150.8,17.0,359.0,208.0,8.7,0.05510800420676783 -2020-12-05 18:15:00,2900.0,149.2,13.6,359.0,208.0,10.6,0.06846901332184244 -2020-12-06 07:15:00,2800.0,91.4,14.3,349.0,296.0,9.0,0.12796592939780843 -2020-12-06 09:15:00,2400.0,73.1,36.2,405.0,330.0,12.1,0.10384465816819109 -2020-12-06 09:30:00,2300.0,77.2,38.7,405.0,330.0,12.5,0.1256206635980507 -2020-12-06 10:00:00,2400.0,65.2,55.4,392.0,317.0,14.4,0.10043743813302876 -2020-12-06 10:15:00,2500.0,73.9,56.8,392.0,317.0,15.8,0.08185260241866334 -2020-12-06 11:45:00,2700.0,78.6,69.5,300.0,208.0,26.9,0.035324395690092554 -2020-12-06 13:15:00,2300.0,100.6,75.2,346.0,251.0,31.7,0.05201648684665797 -2020-12-06 13:30:00,2300.0,138.5,43.8,346.0,251.0,27.7,0.04050405341494438 -2020-12-06 14:45:00,2500.0,131.0,63.2,291.0,206.0,19.7,0.09597941183802233 -2020-12-06 19:45:00,6500.0,127.9,13.4,571.0,268.0,31.4,0.12400893438149375 -2020-12-06 21:15:00,4900.0,140.6,13.6,705.0,363.0,7.4,0.1019023596891328 -2020-12-06 21:30:00,6300.0,138.1,13.9,705.0,363.0,6.4,0.07011281801265956 -2020-12-06 21:45:00,5500.0,151.3,13.9,616.0,399.0,9.0,0.0443704215715032 -2020-12-07 02:00:00,,,17.9,508.0,418.0,,0.11079212356243769 -2020-12-07 03:30:00,3200.0,58.3,14.9,476.0,403.0,4.0,0.1581513156495905 -2020-12-07 03:45:00,3000.0,60.5,15.1,478.0,400.0,5.1,0.15520038592978436 -2020-12-07 04:15:00,3100.0,65.1,14.9,478.0,400.0,11.8,0.07172786519922761 -2020-12-07 05:15:00,3800.0,66.2,13.7,499.0,390.0,13.7,0.14308062626213755 -2020-12-07 06:15:00,3700.0,57.3,13.5,488.0,384.0,14.4,0.12538388211535756 -2020-12-07 08:45:00,,83.8,13.4,475.0,360.0,13.7,0.11552265966004907 -2020-12-07 11:15:00,,140.8,21.4,407.0,308.0,20.3,0.05239353817699863 -2020-12-07 11:30:00,,138.4,26.2,407.0,308.0,21.0,0.07758095186705902 -2020-12-07 18:45:00,4900.0,118.0,13.5,456.0,260.0,20.4,0.0832821202860507 -2020-12-07 21:30:00,7800.0,113.6,14.2,561.0,336.0,24.4,0.12283344753024344 -2020-12-08 00:45:00,5500.0,70.0,15.3,396.0,433.0,13.5,0.1402524862499935 -2020-12-08 03:00:00,4900.0,58.4,16.2,399.0,406.0,13.6,0.060756229521690464 -2020-12-08 04:00:00,4600.0,52.2,16.6,367.0,413.0,,0.02302521336707204 -2020-12-08 04:30:00,4400.0,62.0,16.4,367.0,413.0,16.3,0.0804251284524587 -2020-12-08 06:30:00,3600.0,65.3,13.6,371.0,327.0,12.2,0.14927802993515316 -2020-12-08 08:00:00,3400.0,91.3,13.8,354.0,322.0,,0.06026025358858046 -2020-12-08 12:15:00,2300.0,119.1,50.4,280.0,247.0,35.6,0.043463441795669286 -2020-12-08 20:00:00,7300.0,110.0,13.8,459.0,249.0,,0.13181980810386915 -2020-12-09 06:30:00,4900.0,65.3,18.3,503.0,424.0,27.4,0.0728401712759879 -2020-12-09 07:30:00,3000.0,75.7,14.4,599.0,519.0,11.6,0.02348516803702982 -2020-12-09 12:15:00,2500.0,74.8,21.7,321.0,317.0,25.1,0.1449766569770102 -2020-12-09 16:45:00,2300.0,83.1,12.6,158.0,78.0,,0.16105668393243117 -2020-12-09 18:15:00,4000.0,66.2,14.2,295.0,124.0,,0.07936753670879658 -2020-12-09 19:15:00,6200.0,79.1,14.3,306.0,145.0,,0.06350489098679306 -2020-12-09 20:15:00,5400.0,13.0,13.3,442.0,216.0,,0.13001605895985863 -2020-12-09 22:45:00,3600.0,25.7,12.7,338.0,245.0,,0.03358038551865049 -2020-12-10 04:15:00,2800.0,42.2,15.4,161.0,135.0,,0.0947887240761229 -2020-12-10 06:45:00,3500.0,38.0,14.4,296.0,165.0,,0.08241332864708167 -2020-12-10 15:45:00,2400.0,60.3,24.1,189.0,125.0,7.6,0.02099713829560773 -2020-12-10 16:45:00,2200.0,43.9,,172.0,90.0,16.7,0.05031353961231157 -2020-12-10 22:30:00,,18.5,14.1,300.0,198.0,16.9,0.06801843621158446 -2020-12-11 02:30:00,,45.3,14.7,289.0,,8.9,0.054876604444652324 -2020-12-11 05:30:00,,16.8,16.1,183.0,153.0,20.7,0.08899559071936379 -2020-12-11 07:15:00,,41.6,16.2,171.0,145.0,30.1,0.024452958284715824 -2020-12-11 08:45:00,,20.9,17.0,265.0,244.0,14.2,0.11578063603949058 -2020-12-11 14:30:00,2200.0,30.0,46.7,294.0,205.0,32.7,0.15491687566969953 -2020-12-14 07:30:00,2600.0,16.1,15.2,145.0,143.0,,0.030295430212786717 -2020-12-14 09:45:00,1900.0,14.2,24.9,133.0,98.0,,0.06545394293094026 -2020-12-14 10:15:00,1900.0,16.4,26.4,133.0,98.0,,0.06199931858490647 -2020-12-14 11:00:00,2100.0,15.3,30.2,128.0,98.0,,0.16087629602664147 -2020-12-14 11:30:00,2200.0,16.7,29.1,128.0,98.0,,0.04883121990128757 -2020-12-14 12:15:00,1800.0,25.5,35.6,134.0,104.0,,0.09269685550641696 -2020-12-14 13:45:00,1700.0,17.3,40.7,122.0,74.0,10.9,0.12450607158491807 -2020-12-14 14:45:00,1800.0,25.3,43.8,101.0,63.0,5.4,0.09913279860066225 -2020-12-14 22:00:00,2000.0,13.9,21.4,134.0,129.0,15.4,0.05237164241146555 -2020-12-15 04:30:00,1600.0,10.7,20.4,114.0,107.0,15.6,0.1270195723066991 -2020-12-15 08:15:00,2300.0,18.4,21.8,138.0,107.0,17.0,0.06872538079517317 -2020-12-15 10:30:00,2200.0,16.9,30.2,245.0,228.0,24.5,0.13227230657133143 -2020-12-15 16:30:00,2000.0,38.3,31.9,272.0,203.0,,0.03574689403480334 -2020-12-15 17:45:00,2200.0,21.5,24.9,228.0,182.0,,0.06352297417870843 -2020-12-15 20:00:00,2400.0,20.7,23.0,190.0,163.0,,0.06547406919174308 -2020-12-15 22:15:00,2200.0,21.5,22.5,188.0,152.0,,0.026082783839428452 -2020-12-15 23:15:00,,,,,,16.3,0.09347828481448085 -2020-12-15 23:30:00,2000.0,15.1,22.9,168.0,147.0,,0.05501257261967732 -2020-12-16 01:15:00,1700.0,13.2,,127.0,115.0,,0.05277490717739927 -2020-12-16 04:15:00,1900.0,16.9,22.1,132.0,132.0,,0.11585501265203625 -2020-12-16 06:45:00,2500.0,19.1,21.2,166.0,146.0,,0.14366551776325678 -2020-12-16 08:30:00,2200.0,11.1,21.6,208.0,154.0,,0.14559033982656033 -2020-12-16 10:15:00,2900.0,20.4,24.2,185.0,172.0,,0.06418685702790426 -2020-12-16 14:00:00,1900.0,25.4,35.6,153.0,113.0,12.5,0.08716247877182498 -2020-12-17 10:30:00,2300.0,16.9,27.7,188.0,153.0,7.1,0.13445314149226142 -2020-12-17 15:00:00,1900.0,16.7,39.9,175.0,120.0,,0.09910722298329454 -2020-12-17 18:15:00,2700.0,24.0,22.6,189.0,129.0,,0.15901816265121643 -2020-12-17 18:30:00,3000.0,28.7,22.6,189.0,129.0,,0.15413163571352542 -2020-12-17 20:30:00,3300.0,23.9,20.0,279.0,218.0,,0.05609510973339395 -2020-12-18 04:30:00,,0.1,,,,,0.04614737131663181 -2020-12-18 05:45:00,2000.0,,24.2,183.0,157.0,14.7,0.16409351279109474 -2020-12-18 06:15:00,1900.0,,24.1,183.0,157.0,14.7,0.1584556817468172 -2020-12-18 06:30:00,1900.0,,24.5,183.0,157.0,14.3,0.11381575942430108 -2020-12-18 07:15:00,2800.0,,19.7,188.0,156.0,18.7,0.06708794479909412 -2020-12-18 08:00:00,2500.0,,20.7,224.0,175.0,,0.06021287942855076 -2020-12-18 08:45:00,2400.0,,23.2,229.0,172.0,15.8,0.1510533357840607 -2020-12-18 12:30:00,1700.0,,51.5,194.0,126.0,12.9,0.04647857399358726 -2020-12-18 18:00:00,,,19.6,193.0,103.0,18.7,0.07379246075938703 -2020-12-18 19:45:00,4700.0,,19.6,332.0,228.0,22.5,0.0802117269947878 -2020-12-19 01:30:00,1800.0,,19.4,189.0,152.0,8.4,0.04466580677182926 -2020-12-19 02:45:00,2000.0,,25.2,180.0,140.0,8.4,0.025746759211925145 -2020-12-19 03:15:00,1900.0,,21.6,180.0,140.0,8.6,0.023484719879383203 -2020-12-19 04:30:00,1900.0,,18.6,189.0,148.0,13.4,0.14615023225027848 -2020-12-19 17:30:00,2700.0,136.5,21.4,156.0,84.0,24.2,0.09058450452350704 -2020-12-19 19:15:00,3800.0,95.5,18.9,266.0,106.0,27.8,0.1509180960852313 -2020-12-19 19:30:00,4600.0,58.0,19.9,266.0,106.0,28.8,0.15881726910018365 -2020-12-19 21:15:00,7400.0,40.5,19.4,434.0,278.0,30.6,0.13142390061898537 -2020-12-19 22:15:00,8000.0,153.2,19.3,537.0,337.0,33.6,0.09948946634265234 -2020-12-19 22:30:00,8600.0,68.9,19.0,537.0,337.0,34.2,0.03969931652453568 -2020-12-19 22:45:00,8500.0,119.5,18.5,558.0,380.0,34.4,0.15838719805655996 -2020-12-19 23:00:00,7900.0,99.9,20.3,558.0,380.0,34.3,0.0540522344254247 -2020-12-20 05:15:00,2800.0,1.7,18.7,251.0,205.0,17.0,0.11898614266776587 -2020-12-20 05:45:00,2400.0,53.4,18.3,272.0,194.0,16.9,0.09127579261996241 -2020-12-20 06:30:00,3400.0,47.8,19.0,272.0,194.0,20.1,0.039231547748084766 -2020-12-20 09:30:00,2700.0,145.4,23.0,255.0,219.0,16.0,0.11645092993704476 -2020-12-20 12:00:00,,127.6,34.1,212.0,168.0,,0.09918628993953996 -2020-12-20 14:45:00,1900.0,79.1,53.8,163.0,105.0,17.9,0.11927116326734331 -2020-12-20 17:00:00,2900.0,126.2,22.6,191.0,115.0,17.4,0.13919960858442398 -2020-12-20 17:15:00,3100.0,62.2,19.3,191.0,115.0,19.3,0.06646761197547224 -2020-12-20 19:00:00,6000.0,64.3,19.6,392.0,210.0,30.7,0.10680125422815605 -2020-12-20 22:30:00,6200.0,138.6,18.0,472.0,350.0,14.7,0.1415213299602102 -2020-12-21 01:30:00,4800.0,71.9,18.6,458.0,371.0,14.6,0.07057707613594776 -2020-12-21 02:15:00,,,17.8,423.0,355.0,,0.15692062822601913 -2020-12-21 07:45:00,3000.0,91.9,18.4,311.0,225.0,16.9,0.1577713021849274 -2020-12-21 08:30:00,2700.0,115.9,18.4,311.0,225.0,10.6,0.06993206422587314 -2020-12-21 13:30:00,2200.0,156.8,32.8,346.0,262.0,41.6,0.061934140173426896 -2020-12-22 18:30:00,5700.0,17.1,19.9,445.0,311.0,28.3,0.1646049613909433 -2020-12-22 18:45:00,5900.0,,19.2,492.0,346.0,31.0,0.0374761793383343 -2020-12-23 06:30:00,8100.0,,20.5,536.0,555.0,24.8,0.028098322368652374 -2020-12-24 01:30:00,6000.0,139.6,21.1,574.0,529.0,4.7,0.11270850180313567 -2020-12-24 02:45:00,4800.0,87.3,18.6,497.0,473.0,0.2,0.12530203777730178 -2020-12-24 03:30:00,4400.0,95.2,20.2,497.0,473.0,1.4,0.07321310872798903 -2020-12-24 04:00:00,3100.0,116.7,20.1,471.0,461.0,,0.09200782033406285 -2020-12-24 04:15:00,2800.0,102.0,19.5,471.0,461.0,4.6,0.09613702094986211 -2020-12-24 09:15:00,4100.0,329.8,18.5,501.0,434.0,4.7,0.040947271863765636 -2020-12-24 09:30:00,3700.0,297.9,17.7,501.0,434.0,2.4,0.15016109784183007 -2020-12-24 18:15:00,2800.0,115.9,18.8,255.0,176.0,13.5,0.14239869433902258 -2020-12-24 20:30:00,7000.0,131.6,20.0,436.0,316.0,21.9,0.07340899993239923 -2020-12-24 22:15:00,6600.0,105.8,18.5,600.0,459.0,12.7,0.07826657649518738 -2020-12-24 22:45:00,8000.0,101.2,19.6,489.0,410.0,21.2,0.13188231341003945 -2020-12-24 23:30:00,7000.0,134.4,19.3,489.0,410.0,18.5,0.0307809470314285 -2020-12-25 01:15:00,4800.0,99.8,,470.0,403.0,5.2,0.0694731005791753 -2020-12-25 06:30:00,3700.0,70.4,18.7,315.0,270.0,15.9,0.12159983635705714 -2020-12-25 06:45:00,4500.0,91.6,18.8,320.0,247.0,17.8,0.1551945182181889 -2020-12-25 08:45:00,2800.0,119.7,17.6,353.0,272.0,11.0,0.12357177636629496 -2020-12-25 09:15:00,2700.0,133.3,17.9,353.0,272.0,14.1,0.16067162194305842 -2020-12-25 12:45:00,1900.0,111.2,25.7,205.0,156.0,16.5,0.11853578890330484 -2020-12-25 13:45:00,1600.0,101.6,25.0,152.0,92.0,14.1,0.14214698806004342 -2020-12-25 17:00:00,2300.0,130.4,25.5,143.0,81.0,17.3,0.07336828551486138 -2020-12-25 18:00:00,,122.8,19.7,197.0,112.0,15.0,0.1281386565158056 -2020-12-25 18:30:00,3000.0,118.5,20.4,197.0,112.0,14.4,0.05622375009733417 -2020-12-25 19:00:00,4300.0,116.3,18.9,250.0,149.0,16.4,0.10855278219177272 -2020-12-25 20:00:00,4000.0,152.9,19.5,344.0,204.0,,0.030750047677460965 -2020-12-25 20:45:00,4400.0,111.5,19.1,398.0,242.0,14.0,0.0644058663201729 -2020-12-25 22:15:00,4300.0,120.6,18.7,421.0,267.0,10.8,0.10628450892078606 -2020-12-25 22:30:00,4300.0,120.9,18.4,421.0,267.0,14.6,0.1480010771625741 -2020-12-26 01:30:00,3100.0,93.4,18.4,338.0,279.0,8.8,0.14173416988584278 -2020-12-26 02:15:00,,,19.2,309.0,280.0,,0.039268592631451396 -2020-12-26 04:45:00,3200.0,70.7,18.5,315.0,290.0,9.9,0.09309243890673075 -2020-12-26 06:30:00,3000.0,71.8,18.5,334.0,294.0,13.7,0.1346554983638426 -2020-12-26 07:15:00,4100.0,112.2,18.2,316.0,254.0,17.8,0.03844599597857623 -2020-12-26 08:15:00,3500.0,166.7,18.0,291.0,257.0,13.6,0.12899314849707472 -2020-12-26 08:45:00,3000.0,135.8,18.3,390.0,325.0,9.0,0.16296457797116637 -2020-12-26 10:00:00,3300.0,161.0,18.5,415.0,360.0,10.6,0.03780502797471698 -2020-12-26 10:30:00,2700.0,124.4,20.3,415.0,360.0,12.6,0.07398560519971462 -2020-12-26 16:15:00,2000.0,128.9,26.2,191.0,128.0,14.1,0.14079337002906267 -2020-12-26 17:30:00,2800.0,111.8,12.4,166.0,127.0,15.8,0.03667625512026017 -2020-12-26 18:30:00,4100.0,167.4,19.6,222.0,148.0,22.5,0.12724675778984876 -2020-12-26 19:30:00,5900.0,144.6,19.7,415.0,190.0,26.0,0.03143676176335805 -2020-12-26 21:15:00,8200.0,142.1,20.6,533.0,428.0,18.2,0.04241351884985434 -2020-12-26 21:45:00,7900.0,125.3,19.9,786.0,584.0,14.2,0.053869962018496656 -2020-12-26 22:15:00,7100.0,134.7,19.1,786.0,584.0,13.3,0.028627999302686634 -2020-12-26 23:45:00,3800.0,114.9,18.5,539.0,430.0,4.5,0.11984033529060908 -2020-12-27 00:15:00,3200.0,101.2,19.4,539.0,430.0,7.0,0.16475255649214646 -2020-12-27 01:00:00,3100.0,78.4,,356.0,329.0,9.3,0.1378725630355272 -2020-12-27 01:30:00,2700.0,79.5,19.0,356.0,329.0,7.1,0.07350072108582452 -2020-12-27 03:15:00,2800.0,71.5,20.3,279.0,270.0,5.7,0.12785880108711822 -2020-12-27 05:15:00,3300.0,72.2,49.4,307.0,272.0,15.8,0.035029873201989734 -2020-12-27 05:45:00,3200.0,,,,,,0.1416498297368804 -2020-12-27 06:00:00,,80.3,34.6,335.0,302.0,17.3,0.041629485645418136 -2020-12-27 06:45:00,3200.0,98.8,24.2,356.0,266.0,16.7,0.06647326198128406 -2020-12-27 07:00:00,2900.0,94.3,21.8,356.0,266.0,15.1,0.11331793747219424 -2020-12-27 08:15:00,3800.0,122.1,257.7,334.0,299.0,15.9,0.04921399601852064 -2020-12-27 10:15:00,3000.0,101.5,21.2,342.0,330.0,10.1,0.07717044971245708 -2020-12-27 10:30:00,2900.0,96.7,21.7,342.0,330.0,11.6,0.15079864779748003 -2020-12-27 11:45:00,2800.0,96.0,26.3,368.0,331.0,15.6,0.033096792227757334 -2020-12-27 18:30:00,2400.0,107.4,21.8,295.0,211.0,10.1,0.05568600154600431 -2020-12-27 19:00:00,2500.0,112.0,22.9,311.0,251.0,10.4,0.037114907905522944 -2020-12-28 04:15:00,1700.0,65.2,21.5,186.0,133.0,11.4,0.11717627463315704 -2020-12-28 04:45:00,1700.0,51.6,22.3,177.0,115.0,11.5,0.1550700088695177 -2020-12-28 09:15:00,1900.0,96.3,21.8,223.0,115.0,22.4,0.15748280566821646 -2020-12-28 19:45:00,2200.0,80.3,25.1,255.0,112.0,15.8,0.08313327149817765 -2020-12-28 22:15:00,2100.0,74.3,21.4,276.0,153.0,15.6,0.16044595119429456 -2020-12-29 09:00:00,2400.0,93.5,24.8,312.0,177.0,28.2,0.09723998919266358 -2020-12-29 10:45:00,2000.0,82.8,48.2,274.0,146.0,18.5,0.1548803792920012 -2020-12-29 11:30:00,2200.0,89.7,51.0,274.0,146.0,15.6,0.04969953778585005 -2020-12-29 12:15:00,1900.0,83.9,57.2,278.0,138.0,17.1,0.029103410658633755 -2020-12-29 14:00:00,1800.0,71.0,58.6,229.0,116.0,20.0,0.14307576294008204 -2020-12-29 14:30:00,1800.0,76.6,60.3,229.0,116.0,19.6,0.1455672017779519 -2020-12-29 20:45:00,2500.0,113.0,25.7,213.0,146.0,11.5,0.05281851972977038 -2020-12-29 22:15:00,2200.0,48.2,32.4,201.0,153.0,7.9,0.11325178315233991 -2020-12-29 22:30:00,2000.0,44.8,33.8,201.0,153.0,8.5,0.1325821324938677 -2020-12-31 05:30:00,2600.0,67.5,21.6,239.0,264.0,10.7,0.14250862321303437 -2020-12-31 07:30:00,2500.0,42.2,21.3,223.0,212.0,12.1,0.12355592366359648 -2020-12-31 13:30:00,3000.0,160.7,51.0,324.0,285.0,15.8,0.14477722502366114 -2020-12-31 16:15:00,2900.0,148.8,28.6,486.0,396.0,13.6,0.08725326949348004 -2021-01-01 08:30:00,4500.0,73.1,52.7,631.0,608.0,18.6,0.1556181412645256 -2021-01-01 08:45:00,5200.0,98.0,69.4,581.0,576.0,22.2,0.0517838257542398 -2021-01-01 09:30:00,4100.0,105.8,179.2,581.0,576.0,68.7,0.143612387960103 -2021-01-01 12:30:00,3200.0,116.0,60.4,648.0,690.0,24.5,0.0857480799278351 -2021-01-01 12:45:00,2900.0,109.9,63.2,608.0,603.0,23.4,0.030000205644817052 -2021-01-01 17:15:00,2000.0,119.7,24.3,221.0,172.0,44.2,0.14447491337532867 -2021-01-01 18:30:00,2800.0,115.7,20.8,285.0,238.0,31.0,0.12691679652762647 -2021-01-01 19:00:00,3100.0,105.3,20.7,338.0,310.0,28.9,0.0709288027301775 -2021-01-02 01:15:00,3100.0,83.6,,432.0,,39.3,0.05441660233958763 -2021-01-02 05:30:00,3100.0,88.3,26.1,299.0,328.0,34.8,0.14660028220267773 -2021-01-02 06:00:00,,80.5,35.7,362.0,373.0,53.8,0.05077133199545259 -2021-01-02 20:30:00,3300.0,97.3,20.3,,317.0,22.6,0.15144230711685336 -2021-01-03 13:15:00,1700.0,54.0,36.4,,102.0,15.0,0.029378775577704207 -2021-01-03 15:15:00,2000.0,51.9,36.6,,87.0,16.4,0.06183680209719118 -2021-01-03 18:00:00,,58.5,27.7,,44.0,18.5,0.14102476012468976 -2021-01-03 18:30:00,1800.0,58.1,25.2,,44.0,18.7,0.07936809661288838 -2021-01-03 21:15:00,2100.0,57.0,22.4,,57.0,12.4,0.04389313538269725 -2021-01-03 23:15:00,2000.0,55.4,21.8,,83.0,12.3,0.04703199492678485 -2021-01-04 04:30:00,1500.0,35.3,22.5,,139.0,10.0,0.10297927067036367 -2021-01-04 15:15:00,2500.0,125.2,36.4,,135.0,34.0,0.031717611067865775 -2021-01-04 15:30:00,2400.0,138.3,30.8,,135.0,29.4,0.04013404126906503 -2021-01-04 16:45:00,3500.0,121.5,22.4,,173.0,23.6,0.06087853962240712 -2021-01-04 21:15:00,1400.0,54.5,29.4,,76.0,13.1,0.03798287279477727 -2021-01-05 02:45:00,1200.0,49.6,52.0,,34.0,17.4,0.1327378588815359 -2021-01-05 04:15:00,1600.0,58.0,42.9,,36.0,14.8,0.07290593987836287 -2021-01-05 04:30:00,1500.0,55.4,66.7,,36.0,32.5,0.021133404695353363 -2021-01-05 05:45:00,1800.0,45.2,32.8,,42.0,31.1,0.0688614223174718 -2021-01-05 09:00:00,2400.0,32.7,22.8,,76.0,22.0,0.14388216187397163 -2021-01-05 09:15:00,2500.0,51.0,22.7,,76.0,21.2,0.1451663850601934 -2021-01-05 11:00:00,2100.0,40.7,27.4,,93.0,23.7,0.03534419633653409 -2021-01-05 19:00:00,2300.0,60.7,20.7,,98.0,15.0,0.13545834862690898 -2021-01-05 19:45:00,,,,,,189.7,0.05726242474074854 -2021-01-05 20:00:00,2800.0,69.0,167.9,,99.0,,0.03453348959401522 -2021-01-05 21:00:00,2600.0,69.4,23.1,,125.0,30.8,0.07571964315916493 -2021-01-05 23:15:00,2600.0,70.2,23.7,,88.0,23.1,0.04184439473517779 -2021-01-06 00:30:00,2000.0,56.7,23.8,,101.0,19.2,0.14409159890149517 -2021-01-06 01:15:00,1700.0,47.6,,,110.0,17.8,0.11906259143611274 -2021-01-06 03:45:00,2100.0,34.7,46.3,,126.0,16.3,0.12638065662982445 -2021-01-06 09:15:00,2500.0,69.6,27.6,,152.0,21.3,0.020029351619474573 -2021-01-06 11:45:00,2200.0,62.0,35.3,,149.0,28.0,0.033090755977638726 -2021-01-06 13:15:00,1900.0,50.0,36.9,179.0,141.0,28.5,0.1566141880452706 -2021-01-06 15:45:00,1900.0,65.6,29.0,192.0,72.0,31.5,0.15294175641770333 -2021-01-06 18:15:00,3100.0,95.8,21.6,351.0,,19.6,0.025560127651449993 -2021-01-06 18:45:00,3100.0,69.9,21.9,332.0,245.0,17.8,0.03992805015023898 -2021-01-06 19:30:00,2400.0,64.4,22.4,332.0,245.0,14.1,0.1530636516500315 -2021-01-06 19:45:00,2700.0,38.1,22.8,278.0,206.0,14.7,0.05961123262503257 -2021-01-06 20:15:00,3000.0,62.7,21.8,278.0,206.0,15.1,0.14610794981473219 -2021-01-06 20:30:00,3000.0,81.2,22.0,278.0,206.0,16.0,0.08221409219997326 -2021-01-06 21:00:00,2400.0,63.0,22.8,308.0,212.0,14.7,0.07633490863753056 -2021-01-06 21:15:00,2600.0,49.0,21.5,308.0,212.0,13.3,0.10940822692587937 -2021-01-07 01:15:00,1600.0,30.9,,175.0,136.0,12.0,0.07112756864675535 -2021-01-07 05:45:00,2200.0,49.9,23.1,185.0,129.0,11.9,0.12176281502379269 -2021-01-07 13:15:00,1900.0,62.4,37.9,186.0,121.0,13.4,0.10775425271719814 -2021-01-07 14:15:00,2000.0,75.5,39.8,226.0,128.0,14.5,0.10488801295293437 -2021-01-07 14:45:00,2000.0,81.0,36.3,232.0,141.0,14.8,0.08027963440436303 -2021-01-07 16:15:00,2000.0,70.9,35.0,203.0,120.0,14.6,0.049836567692381234 -2021-01-07 16:45:00,2500.0,53.6,28.7,210.0,126.0,12.7,0.07662312589461144 -2021-01-07 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04:45:00,1800.0,77.9,14.0,219.0,176.0,6.6,0.14626764505865716 -2021-02-12 09:45:00,1900.0,124.7,16.6,381.0,319.0,7.5,0.07305218098287264 -2021-02-12 18:00:00,2000.0,134.1,17.8,508.0,345.0,6.4,0.03848426236071764 -2021-02-13 13:15:00,1800.0,160.1,41.7,461.0,344.0,26.5,0.10867110562247032 -2021-02-13 21:15:00,3800.0,187.7,22.3,781.0,372.0,22.1,0.02797965929889184 -2021-02-14 18:30:00,,177.1,17.4,349.0,162.0,14.3,0.06533955228761511 -2021-02-14 19:45:00,,175.0,16.8,464.0,188.0,16.1,0.029886617508022285 -2021-02-15 00:15:00,,126.2,25.3,461.0,263.0,11.2,0.13333017234027128 -2021-02-15 04:15:00,,86.3,18.3,366.0,209.0,7.3,0.07174970944701506 -2021-02-15 09:15:00,,183.8,21.4,472.0,270.0,28.2,0.02659171976522327 -2021-02-15 13:30:00,1400.0,94.7,61.4,295.0,168.0,18.5,0.024802109144943723 -2021-02-15 17:15:00,1500.0,133.0,32.4,202.0,99.0,13.4,0.06306491666312669 -2021-02-15 18:30:00,2000.0,97.8,17.4,261.0,117.0,10.8,0.03950428910888628 -2021-02-15 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14:45:00,1500.0,151.5,64.6,224.0,105.0,11.9,0.09623666441872064 -2021-02-21 15:00:00,1600.0,165.8,62.7,224.0,105.0,12.9,0.07170133085899073 -2021-02-21 16:15:00,1500.0,122.6,58.3,222.0,103.0,12.1,0.12968162814042594 -2021-02-21 17:30:00,1500.0,111.3,49.8,213.0,96.0,11.0,0.11169238303005555 -2021-02-21 17:45:00,1600.0,104.7,51.6,224.0,92.0,10.4,0.0574841085697808 -2021-02-21 19:00:00,1900.0,132.3,18.3,266.0,103.0,13.2,0.034467301414827844 -2021-02-21 22:45:00,1900.0,125.6,16.6,367.0,204.0,18.8,0.1244448583506241 -2021-02-21 23:15:00,1900.0,151.8,16.6,367.0,204.0,17.5,0.08322516039131868 -2021-02-22 03:15:00,1600.0,89.2,17.0,261.0,191.0,13.0,0.09801966153340218 -2021-02-22 09:45:00,1600.0,103.0,24.8,283.0,146.0,25.1,0.14053771149152972 -2021-02-22 12:15:00,1600.0,191.1,34.9,283.0,139.0,19.4,0.08118994417919471 -2021-02-22 14:15:00,1500.0,142.0,58.8,252.0,121.0,14.9,0.15829387734057054 -2021-02-22 15:45:00,,,42.2,190.0,67.0,,0.03660225835356478 -2021-02-23 09:45:00,2200.0,134.1,22.4,263.0,127.0,22.2,0.1562656490209699 -2021-02-23 16:30:00,2000.0,95.3,52.2,171.0,48.0,7.9,0.12222499686451713 -2021-02-24 17:00:00,1300.0,110.2,30.7,180.0,39.0,,0.11497058174667801 -2021-02-25 10:45:00,1500.0,165.2,28.5,262.0,125.0,19.3,0.14184636677820006 -2021-02-26 00:30:00,1600.0,97.4,19.7,328.0,112.0,19.9,0.1645976692855516 -2021-02-26 01:45:00,1900.0,67.3,20.5,261.0,165.0,15.1,0.029876544899774326 -2021-02-26 02:15:00,,,19.0,261.0,165.0,,0.05753379230817621 -2021-02-26 02:45:00,1800.0,73.4,20.0,243.0,151.0,11.3,0.10246417974119558 -2021-02-26 03:15:00,2100.0,63.9,18.9,243.0,151.0,11.7,0.10997780093626801 -2021-02-26 06:45:00,3900.0,121.2,18.6,385.0,208.0,20.1,0.09951667037061358 -2021-02-26 08:15:00,2400.0,106.6,18.8,429.0,227.0,35.0,0.15084230150505207 -2021-02-26 08:30:00,2500.0,123.0,19.4,429.0,227.0,38.5,0.11931596960736238 -2021-02-26 08:45:00,2200.0,102.8,20.9,418.0,199.0,40.8,0.047197488568220446 -2021-03-01 07:15:00,2100.0,85.9,14.6,245.0,89.0,18.2,0.14628640477668378 -2021-03-01 07:45:00,2100.0,88.5,16.3,234.0,108.0,20.3,0.02469486610143699 -2021-03-01 08:15:00,2300.0,86.0,20.7,234.0,108.0,26.8,0.12275896027777039 -2021-03-01 11:00:00,1800.0,96.6,63.5,215.0,87.0,33.6,0.13242951654641663 -2021-03-01 11:15:00,1700.0,93.8,74.4,215.0,87.0,26.3,0.06733582389951986 -2021-03-01 13:00:00,1400.0,79.0,62.8,207.0,55.0,10.7,0.040465420502166206 -2021-03-01 14:00:00,1400.0,64.1,68.9,208.0,39.0,10.9,0.045760530952209985 -2021-03-02 00:15:00,1500.0,45.0,51.5,,83.0,14.7,0.14167098088190405 -2021-03-02 00:45:00,1400.0,46.1,56.0,,68.0,15.0,0.1612440757710893 -2021-03-02 01:30:00,1400.0,28.2,56.1,,68.0,14.6,0.13920874071358175 -2021-03-02 05:15:00,1500.0,40.8,40.8,,97.0,19.1,0.1098130968051124 -2021-03-02 05:45:00,1900.0,69.1,27.3,,100.0,19.0,0.12360356478036155 -2021-03-02 06:45:00,2100.0,76.8,23.4,,112.0,21.4,0.11985341184248435 -2021-03-02 08:45:00,1600.0,76.7,45.9,,77.0,16.5,0.022120278605197195 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14:30:00,1600.0,103.7,52.2,174.0,51.0,15.0,0.13889796362634974 -2021-03-03 14:45:00,1500.0,127.3,56.2,197.0,37.0,16.3,0.020730841420328362 -2021-03-03 19:00:00,2700.0,145.4,14.7,196.0,43.0,21.1,0.1340446877708156 -2021-03-03 20:00:00,3500.0,123.3,13.7,382.0,79.0,25.3,0.10330860376701566 -2021-03-04 01:00:00,4400.0,106.5,,596.0,263.0,43.7,0.12099691057103718 -2021-03-04 02:15:00,,,20.1,604.0,255.0,,0.08859438735237889 -2021-03-04 03:15:00,3500.0,91.4,91.0,538.0,244.0,27.1,0.052699598752485366 -2021-03-04 04:00:00,3600.0,85.4,145.3,526.0,238.0,28.8,0.06057518305722788 -2021-03-04 04:30:00,3500.0,102.5,281.2,526.0,238.0,34.3,0.04080449705075134 -2021-03-04 04:45:00,3400.0,87.0,313.1,428.0,223.0,31.0,0.10656037402792003 -2021-03-04 05:45:00,4200.0,92.2,215.9,443.0,222.0,31.7,0.1271468518272706 -2021-03-04 07:15:00,6200.0,128.8,149.9,657.0,309.0,31.5,0.07701595451697697 -2021-03-04 09:00:00,3000.0,216.3,141.0,682.0,320.0,136.4,0.1477854005833162 -2021-03-04 09:45:00,1800.0,106.4,46.6,366.0,183.0,56.7,0.10304075343383576 -2021-03-04 10:30:00,2200.0,140.1,92.5,366.0,183.0,68.3,0.06693559886191024 -2021-03-04 12:15:00,1800.0,105.8,144.0,307.0,153.0,36.9,0.12792382679087147 -2021-03-04 13:00:00,1900.0,151.1,152.9,272.0,142.0,38.5,0.15221404602513477 -2021-03-04 13:45:00,1700.0,103.9,164.5,273.0,133.0,22.7,0.14091447983643005 -2021-03-04 23:45:00,3800.0,174.3,14.2,433.0,232.0,,0.027800484065660616 -2021-03-05 04:45:00,1500.0,90.1,17.2,349.0,136.0,19.9,0.10698601102159111 -2021-03-05 06:15:00,2000.0,104.7,14.7,367.0,147.0,24.3,0.11257944115626335 -2021-03-05 12:00:00,,135.9,63.6,266.0,67.0,16.6,0.020368551331206075 -2021-03-05 18:00:00,,104.6,49.0,190.0,42.0,12.8,0.06847993880846602 -2021-03-05 22:15:00,2300.0,96.0,26.2,195.0,81.0,19.6,0.1629066741542173 -2021-03-06 00:45:00,1700.0,52.6,50.6,173.0,85.0,22.3,0.12955097499722526 -2021-03-06 03:00:00,2000.0,26.2,43.2,144.0,77.0,16.9,0.038261831617094594 -2021-03-06 10:45:00,1800.0,128.6,42.6,257.0,135.0,29.4,0.044408513540259924 -2021-03-07 02:30:00,2000.0,85.6,70.4,488.0,213.0,41.5,0.09829751801458096 -2021-03-07 06:15:00,3600.0,97.5,61.1,527.0,249.0,33.4,0.02626468269477423 -2021-03-07 08:15:00,1900.0,84.1,24.9,541.0,309.0,57.1,0.08872584994208803 -2021-03-08 00:45:00,1500.0,24.6,80.8,239.0,81.0,19.9,0.07380575496774296 -2021-03-08 06:30:00,2000.0,58.3,23.0,178.0,101.0,29.7,0.13111383973892402 -2021-03-08 07:15:00,2200.0,43.5,32.3,232.0,143.0,29.9,0.10545534708397133 -2021-03-08 10:15:00,2000.0,43.6,52.5,272.0,135.0,22.0,0.11241618160362003 -2021-03-14 05:15:00,1700.0,32.9,17.7,189.0,101.0,15.2,0.08054557828369859 -2021-03-18 00:15:00,,75.4,13.2,432.0,120.0,14.5,0.037331578648910055 -2021-03-18 00:30:00,,,,432.0,120.0,,0.027250414022407014 -2021-03-18 00:45:00,1700.0,74.2,13.1,,,12.4,0.1431201231781806 -2021-03-18 04:00:00,2800.0,81.6,13.9,373.0,117.0,13.9,0.03254871646360523 -2021-03-18 16:15:00,1500.0,122.5,51.6,313.0,,16.6,0.15566970994764165 -2021-03-19 18:15:00,,37.7,22.6,202.0,,13.7,0.09067230241021737 -2021-03-19 19:45:00,2600.0,30.2,15.2,217.0,51.0,17.0,0.16361754828472708 -2021-03-20 03:15:00,1100.0,45.2,23.5,233.0,119.0,19.1,0.08706513504444403 -2021-03-20 09:45:00,2000.0,70.0,32.4,362.0,189.0,47.4,0.04262784961041164 -2021-03-20 12:15:00,,80.3,78.8,278.0,123.0,26.2,0.11715634079976088 -2021-03-20 19:45:00,2100.0,31.0,18.5,200.0,58.0,19.4,0.11048936793461409 -2021-03-20 22:15:00,4400.0,,13.1,351.0,,21.7,0.043526825917638255 -2021-03-21 03:15:00,3200.0,,14.5,384.0,,10.9,0.09135278540592454 -2021-03-21 05:45:00,3100.0,,15.3,473.0,223.0,15.7,0.14609887864016313 -2021-03-21 22:45:00,2300.0,75.1,15.4,323.0,152.0,36.4,0.15222800976430323 -2021-03-22 15:15:00,1700.0,48.8,49.5,835.0,,21.6,0.12476786038035276 -2021-03-22 16:45:00,1600.0,49.0,60.3,,,18.7,0.15024934185193847 -2021-03-22 18:30:00,1800.0,72.7,33.5,185.0,63.0,19.9,0.13098179928193515 -2021-03-22 20:30:00,3000.0,59.3,11.6,,80.0,20.8,0.027968057854166457 -2021-03-22 21:15:00,3600.0,28.8,12.9,284.0,117.0,25.1,0.11095620769969938 -2021-03-22 21:30:00,3200.0,94.5,12.5,284.0,117.0,23.5,0.1594325153148405 -2021-03-23 04:45:00,1200.0,51.1,13.0,339.0,144.0,27.1,0.020089439799747928 -2021-03-23 05:15:00,1000.0,48.0,14.9,339.0,,24.6,0.13035426570991215 -2021-03-23 05:30:00,1000.0,44.2,15.8,339.0,,22.0,0.07599687149751985 -2021-03-23 05:45:00,900.0,44.0,17.2,256.0,100.0,18.7,0.11646586033360753 -2021-03-23 06:15:00,1400.0,44.6,15.8,256.0,100.0,15.5,0.07168517752278739 -2021-03-23 06:30:00,1500.0,45.4,21.2,256.0,100.0,16.9,0.05814108209414029 -2021-03-23 06:45:00,2000.0,40.7,17.3,235.0,,16.5,0.1574062314267568 -2021-03-23 07:15:00,2100.0,28.2,19.4,235.0,,15.6,0.13589003922847953 -2021-03-23 07:30:00,2200.0,44.5,19.3,235.0,,19.7,0.12706084077585905 -2021-03-23 08:30:00,1800.0,27.2,20.2,418.0,95.0,22.3,0.053599659897407614 -2021-03-23 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-10456,7.3216,4.5631 -10457,7.3547,4.5631 -10458,8.2903,4.6136 -10459,6.4051,4.6136 -10460,7.4413,4.6136 -10461,8.2564,4.6791 -10462,6.6232,4.6791 -10463,6.2154,4.6791 -10464,6.8928,4.7304 -10465,6.2348,4.7304 -10466,7.3584,4.7304 -10467,7.2823,4.753 -10468,7.0142,4.753 -10469,7.3171,4.753 -10470,6.2307,4.7715 -10471,8.494,4.7715 -10472,7.4471,4.7715 -10473,7.0683,4.791 -10474,7.6526,4.791 -10475,5.293,4.791 -10476,8.0951,4.8056 -10477,6.8227,4.8056 -10478,8.8701,4.8056 -10479,8.2389,4.8094 -10480,6.2685,4.8094 -10481,7.4928,4.8094 -10482,7.0862,4.8015 -10483,7.4056,4.8015 -10484,7.4859,4.8015 -10485,7.0796,4.802 -10486,7.8692,4.802 -10487,8.619,4.802 -10488,6.0114,4.8261 -10489,7.5659,4.8261 -10490,8.0499,4.8261 -10491,5.5851,4.8569 -10492,7.3452,4.8569 -10493,8.6709,4.8569 -10494,5.7347,4.9007 -10495,7.1547,4.9007 -10496,7.9217,4.9007 -10497,9.2659,4.9493 -10498,8.652,4.9493 -10499,7.3751,4.9493 -10500,7.9488,4.9848 -10501,7.556,4.9848 -10502,8.1033,4.9848 -10503,,5.0217 -10504,8.1736,5.0217 -10505,8.7551,5.0217 -10506,6.9431,5.0488 -10507,7.8048,5.0488 -10508,9.1335,5.0488 -10509,6.332,5.0628 -10510,9.1589,5.0628 -10511,8.1923,5.0628 -10512,7.9661,5.0789 -10513,9.739,5.0789 -10514,8.2581,5.0789 -10515,7.9506,5.0856 -10516,9.0494,5.0856 -10517,6.745,5.0856 -10518,8.5649,5.107 -10519,8.1607,5.107 -10520,7.6587,5.107 -10521,7.5727,5.148 -10522,8.7968,5.148 -10523,7.7979,5.148 -10524,8.8252,5.1891 -10525,8.006,5.1891 -10526,7.6679,5.1891 -10527,8.725,5.2306 -10528,7.4565,5.2306 -10529,8.0418,5.2306 -10530,7.2817,5.2536 -10531,7.5269,5.2536 -10532,6.8513,5.2536 -10533,7.739,5.2485 -10534,7.6041,5.2485 -10535,8.1289,5.2485 -10536,7.4692,5.2374 -10537,7.8619,5.2374 -10538,6.9116,5.2374 -10539,8.39,5.202 -10540,7.9086,5.202 -10541,6.4994,5.202 -10542,7.2547,5.1567 -10543,6.2019,5.1567 -10544,8.0248,5.1567 -10545,6.4781,5.11 -10546,7.6444,5.11 -10547,7.2721,5.11 -10548,7.2816,5.0625 -10549,7.5412,5.0625 -10550,7.0521,5.0625 -10551,7.1931,5.0053 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-10601,6.5187,4.5783 -10602,5.4917,4.565 -10603,6.1286,4.565 -10604,7.5201,4.565 -10605,6.2283,4.555 -10606,6.3489,4.555 -10607,6.7019,4.555 -10608,6.6295,4.5395 -10609,7.1843,4.5395 -10610,6.7346,4.5395 -10611,7.7979,4.4963 -10612,7.4445,4.4963 -10613,7.5464,4.4963 -10614,7.4191,4.4486 -10615,7.2031,4.4486 -10616,7.1395,4.4486 -10617,6.4795,4.4014 -10618,6.5274,4.4014 -10619,7.7795,4.4014 -10620,7.6982,4.3566 -10621,7.8209,4.3566 -10622,5.5234,4.3566 -10623,6.6943,4.3439 -10624,7.2642,4.3439 -10625,6.8212,4.3439 -10626,6.5296,4.345 -10627,6.4724,4.345 -10628,6.8258,4.345 -10629,6.7142,4.3307 -10630,7.7891,4.3307 -10631,7.1369,4.3307 -10632,7.9035,4.3229 -10633,7.3777,4.3229 -10634,8.0661,4.3229 -10635,6.6498,4.3348 -10636,6.7789,4.3348 -10637,5.3654,4.3348 -10638,6.8946,4.3507 -10639,6.1074,4.3507 -10640,7.602,4.3507 -10641,5.6869,4.3617 -10642,5.3343,4.3617 -10643,6.7983,4.3617 -10644,5.9714,4.3685 -10645,6.5364,4.3685 -10646,5.506,4.3685 -10647,6.4622,4.3847 -10648,5.7969,4.3847 -10649,6.5723,4.3847 -10650,4.6859,4.383 -10651,8.2734,4.383 -10652,6.2293,4.383 -10653,6.9401,4.3533 -10654,6.3496,4.3533 -10655,6.5654,4.3533 -10656,6.5468,4.3496 -10657,6.5494,4.3496 -10658,7.8341,4.3496 -10659,5.2951,4.3556 -10660,,4.3556 -10661,5.4232,4.3556 -10662,6.5102,4.3676 -10663,6.1919,4.3676 -10664,6.7051,4.3676 -10665,7.2251,4.3781 -10666,6.3053,4.3781 -10667,6.8616,4.3781 -10668,7.3662,4.3774 -10669,7.0947,4.3774 -10670,6.3783,4.3774 -10671,6.3483,4.3729 -10672,6.1236,4.3729 -10673,5.0697,4.3729 -10674,6.8144,4.3781 -10675,7.3126,4.3781 -10676,6.6576,4.3781 -10677,6.8865,4.3723 -10678,7.2189,4.3723 -10679,8.7518,4.3723 -10680,5.3912,4.3232 -10681,6.4713,4.3232 -10682,6.1151,4.3232 -10683,5.9438,4.2655 -10684,7.7498,4.2655 -10685,5.9324,4.2655 -10686,7.6447,4.2309 -10687,6.8074,4.2309 -10688,7.913,4.2309 -10689,6.528,4.214 -10690,7.6471,4.214 -10691,7.0387,4.214 -10692,7.7866,4.2076 -10693,6.3364,4.2076 -10694,7.8511,4.2076 -10695,7.1977,4.2158 -10696,6.9065,4.2158 -10697,5.5306,4.2158 -10698,7.357,4.2544 -10699,7.1132,4.2544 -10700,7.2575,4.2544 -10701,6.9276,4.2965 -10702,7.0023,4.2965 -10703,7.6908,4.2965 -10704,6.088,4.3172 -10705,7.022,4.3172 -10706,6.5186,4.3172 -10707,5.9235,4.3315 -10708,6.9594,4.3315 -10709,7.1201,4.3315 -10710,6.1882,4.3466 -10711,7.8737,4.3466 -10712,8.3532,4.3466 -10713,6.3777,4.3726 -10714,6.9309,4.3726 -10715,7.0626,4.3726 -10716,8.5466,4.3946 -10717,6.9405,4.3946 -10718,8.5555,4.3946 -10719,8.1572,4.4095 -10720,8.3978,4.4095 -10721,7.4546,4.4095 -10722,7.901,4.4249 -10723,6.797,4.4249 -10724,8.2664,4.4249 -10725,8.3936,4.4451 -10726,8.2371,4.4451 -10727,8.5511,4.4451 -10728,7.4208,4.4942 -10729,8.1166,4.4942 -10730,8.7511,4.4942 -10731,6.1663,4.5582 -10732,7.24,4.5582 -10733,8.2597,4.5582 -10734,7.3541,4.6071 -10735,8.369,4.6071 -10736,5.5804,4.6071 -10737,7.2429,4.6369 -10738,8.0714,4.6369 -10739,7.3729,4.6369 -10740,6.9126,4.6627 -10741,8.7783,4.6627 -10742,7.174,4.6627 -10743,9.2109,4.6801 -10744,8.2654,4.6801 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-10792,8.5356,5.5756 -10793,8.3726,5.5756 -10794,8.1321,5.6203 -10795,8.2771,5.6203 -10796,8.5597,5.6203 -10797,9.3688,5.6148 -10798,7.9721,5.6148 -10799,7.6961,5.6148 -10800,8.562,5.5974 -10801,9.5304,5.5974 -10802,8.4312,5.5974 -10803,8.6511,5.6031 -10804,8.5891,5.6031 -10805,9.1367,5.6031 -10806,9.0426,5.6138 -10807,7.7836,5.6138 -10808,9.2793,5.6138 -10809,9.4133,5.6194 -10810,9.5166,5.6194 -10811,8.1995,5.6194 -10812,8.3953,5.6398 -10813,8.6551,5.6398 -10814,7.8195,5.6398 -10815,8.3223,5.6722 -10816,9.7736,5.6722 -10817,8.4647,5.6722 -10818,7.7692,5.6893 -10819,9.2299,5.6893 -10820,8.9022,5.6893 -10821,8.9859,5.6995 -10822,9.3611,5.6995 -10823,9.5305,5.6995 -10824,9.2463,5.7208 -10825,6.8952,5.7208 -10826,10.6283,5.7208 -10827,8.6911,5.729 -10828,9.956,5.729 -10829,10.0189,5.729 -10830,8.5194,5.7357 -10831,11.4067,5.7357 -10832,9.675,5.7357 -10833,8.7699,5.7454 -10834,9.2931,5.7454 -10835,9.5184,5.7454 -10836,8.3575,5.7327 -10837,8.3923,5.7327 -10838,9.1449,5.7327 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-11461,9.0391,6.415 -11462,8.7879,6.415 -11463,8.0269,6.3466 -11464,7.8754,6.3466 -11465,9.2327,6.3466 -11466,9.6913,6.2636 -11467,9.0738,6.2636 -11468,8.3714,6.2636 -11469,8.0218,6.1976 -11470,8.3932,6.1976 -11471,7.2238,6.1976 -11472,9.353,6.1328 -11473,7.7112,6.1328 -11474,9.6554,6.1328 -11475,8.2619,6.0349 -11476,8.8051,6.0349 -11477,8.2047,6.0349 -11478,8.2218,5.9238 -11479,7.9029,5.9238 -11480,6.7358,5.9238 -11481,8.1682,5.8444 -11482,8.9961,5.8444 -11483,9.0989,5.8444 -11484,7.4946,5.7606 -11485,7.1205,5.7606 -11486,6.9008,5.7606 -11487,8.2384,5.7055 -11488,7.9799,5.7055 -11489,7.8964,5.7055 -11490,7.2929,5.6051 -11491,7.2182,5.6051 -11492,6.7333,5.6051 -11493,7.6139,5.5157 -11494,7.3045,5.5157 -11495,6.3627,5.5157 -11496,5.9008,5.4343 -11497,7.5754,5.4343 -11498,8.0121,5.4343 -11499,7.1659,5.3504 -11500,6.6017,5.3504 -11501,6.2312,5.3504 -11502,7.4228,5.2999 -11503,6.0983,5.2999 -11504,9.432,5.2999 -11505,6.7709,5.2592 -11506,5.711,5.2592 -11507,8.247,5.2592 -11508,6.3039,5.1937 -11509,7.4366,5.1937 -11510,6.3721,5.1937 -11511,9.1433,5.1221 -11512,6.7258,5.1221 -11513,6.8421,5.1221 -11514,7.194,5.0419 -11515,7.1472,5.0419 -11516,6.4598,5.0419 -11517,6.6064,4.9412 -11518,6.1713,4.9412 -11519,6.227,4.9412 -11520,7.557,4.8562 -11521,7.4438,4.8562 -11522,7.2146,4.8562 -11523,6.0427,4.8092 -11524,6.047,4.8092 -11525,6.4872,4.8092 -11526,6.3328,4.7545 -11527,6.5133,4.7545 -11528,6.0823,4.7545 -11529,6.284,4.6712 -11530,6.8886,4.6712 -11531,6.1388,4.6712 -11532,5.1996,4.5897 -11533,6.2079,4.5897 -11534,5.7433,4.5897 -11535,6.7944,4.5092 -11536,7.6382,4.5092 -11537,6.5962,4.5092 -11538,6.5208,4.4315 -11539,7.5637,4.4315 -11540,6.1427,4.4315 -11541,6.1444,4.3735 -11542,7.7343,4.3735 -11543,6.1795,4.3735 -11544,6.4873,4.34 -11545,6.4745,4.34 -11546,6.5399,4.34 -11547,6.5901,4.304 -11548,5.5362,4.304 -11549,7.3206,4.304 -11550,5.2268,4.2636 -11551,7.3052,4.2636 -11552,5.5429,4.2636 -11553,7.0587,4.2464 -11554,7.2219,4.2464 -11555,7.0593,4.2464 -11556,6.1931,4.2377 -11557,6.0967,4.2377 -11558,8.1565,4.2377 -11559,7.0229,4.2245 -11560,8.0067,4.2245 -11561,7.7571,4.2245 -11562,,4.2127 -11563,6.268,4.2127 -11564,6.4866,4.2127 -11565,4.8329,4.1988 -11566,,4.1988 -11567,6.7655,4.1988 -11568,7.0338,4.1748 -11569,5.7388,4.1748 -11570,6.9454,4.1748 -11571,5.0462,4.1464 -11572,5.9928,4.1464 -11573,6.9469,4.1464 -11574,6.2553,4.118 -11575,6.4749,4.118 -11576,6.1143,4.118 -11577,6.6195,4.1146 -11578,6.0561,4.1146 -11579,6.7062,4.1146 -11580,6.3193,4.1486 -11581,7.2276,4.1486 -11582,7.3186,4.1486 -11583,6.6392,4.2 -11584,7.9826,4.2 -11585,8.0139,4.2 -11586,6.4711,4.2283 -11587,7.2734,4.2283 -11588,6.3181,4.2283 -11589,5.7578,4.2236 -11590,6.6533,4.2236 -11591,5.9606,4.2236 -11592,6.4251,4.2225 -11593,6.5063,4.2225 -11594,8.08,4.2225 -11595,7.6386,4.2291 -11596,7.773,4.2291 -11597,6.1595,4.2291 -11598,6.3356,4.2247 -11599,6.62,4.2247 -11600,6.2597,4.2247 -11601,6.8353,4.2132 -11602,6.8228,4.2132 -11603,5.4947,4.2132 -11604,6.7944,4.2159 -11605,6.5784,4.2159 -11606,4.9203,4.2159 -11607,7.1031,4.2239 -11608,6.1129,4.2239 -11609,6.5859,4.2239 -11610,7.4943,4.2397 -11611,6.1077,4.2397 -11612,6.077,4.2397 -11613,5.3266,4.2429 -11614,6.4917,4.2429 -11615,5.6745,4.2429 -11616,6.4908,4.2427 -11617,5.2351,4.2427 -11618,6.4599,4.2427 -11619,7.6682,4.2619 -11620,6.0346,4.2619 -11621,7.3749,4.2619 -11622,5.7059,4.2618 -11623,6.2837,4.2618 -11624,6.6806,4.2618 -11625,5.5302,4.2391 -11626,8.9381,4.2391 -11627,5.627,4.2391 -11628,5.4042,4.2126 -11629,5.4048,4.2126 -11630,6.8203,4.2126 -11631,6.4767,4.1964 -11632,5.5282,4.1964 -11633,5.5604,4.1964 -11634,5.7449,4.1816 -11635,4.3281,4.1816 -11636,6.1035,4.1816 -11637,7.4148,4.1423 -11638,5.8959,4.1423 -11639,4.6822,4.1423 -11640,4.9184,4.0914 -11641,5.8746,4.0914 -11642,6.4548,4.0914 -11643,5.5276,4.0404 -11644,4.1007,4.0404 -11645,6.4923,4.0404 -11646,5.62,4.0012 -11647,5.8628,4.0012 -11648,6.1854,4.0012 -11649,6.9043,3.9702 -11650,5.6237,3.9702 -11651,6.189,3.9702 -11652,5.8049,3.9371 -11653,6.1932,3.9371 -11654,6.7194,3.9371 -11655,6.0998,3.8993 -11656,5.1088,3.8993 -11657,5.4978,3.8993 -11658,6.8062,3.8744 -11659,5.8642,3.8744 -11660,5.8527,3.8744 -11661,4.751,3.844 -11662,5.3122,3.844 -11663,5.3958,3.844 -11664,4.4772,3.7911 -11665,5.2173,3.7911 -11666,5.3283,3.7911 -11667,3.4674,3.7402 -11668,4.595,3.7402 -11669,5.1523,3.7402 -11670,3.5099,3.6981 -11671,4.6229,3.6981 -11672,3.9423,3.6981 -11673,4.1003,3.6299 -11674,4.0382,3.6299 -11675,3.6462,3.6299 -11676,4.7715,3.5322 -11677,4.4634,3.5322 -11678,3.6637,3.5322 -11679,3.5516,3.438 -11680,3.9588,3.438 -11681,4.7056,3.438 -11682,4.3327,3.3733 -11683,3.8318,3.3733 -11684,4.01,3.3733 -11685,3.7877,3.3325 -11686,3.8396,3.3325 -11687,3.3502,3.3325 -11688,4.7333,3.3019 -11689,4.1912,3.3019 -11690,4.3305,3.3019 -11691,4.0868,3.2538 -11692,3.2018,3.2538 -11693,2.9803,3.2538 -11694,3.8901,3.1579 -11695,4.001,3.1579 -11696,3.7165,3.1579 -11697,3.5317,3.0506 -11698,3.5003,3.0506 -11699,3.5726,3.0506 -11700,3.3934,2.9633 -11701,3.5805,2.9633 -11702,2.8543,2.9633 -11703,3.9954,2.8723 -11704,3.3444,2.8723 -11705,2.8698,2.8723 -11706,3.4997,2.7738 -11707,4.2265,2.7738 -11708,3.3381,2.7738 -11709,3.314,2.6862 -11710,4.2775,2.6862 -11711,3.2576,2.6862 -11712,3.8494,2.6204 -11713,3.5243,2.6204 -11714,3.3357,2.6204 -11715,3.4807,2.5688 -11716,3.7173,2.5688 -11717,3.9298,2.5688 -11718,3.3734,2.5298 -11719,2.5698,2.5298 -11720,4.0619,2.5298 -11721,3.1645,2.5003 -11722,3.9726,2.5003 -11723,4.791,2.5003 -11724,4.0016,2.474 -11725,3.2297,2.474 -11726,3.6413,2.474 -11727,4.0144,2.4384 -11728,3.4552,2.4384 -11729,3.0313,2.4384 -11730,3.3017,2.3933 -11731,4.152,2.3933 -11732,3.1918,2.3933 -11733,3.8189,2.3457 -11734,4.2387,2.3457 -11735,3.2464,2.3457 -11736,4.0636,2.3135 -11737,3.9236,2.3135 -11738,3.5087,2.3135 -11739,4.0516,2.2994 -11740,4.1453,2.2994 -11741,4.0037,2.2994 -11742,3.6182,2.3017 -11743,4.735,2.3017 -11744,4.85,2.3017 -11745,4.1854,2.3262 -11746,4.3929,2.3262 -11747,3.089,2.3262 -11748,3.7048,2.3505 -11749,4.1959,2.3505 -11750,2.8422,2.3505 -11751,3.8844,2.3684 -11752,4.3264,2.3684 -11753,2.9095,2.3684 -11754,3.9804,2.3942 -11755,4.2056,2.3942 -11756,4.5753,2.3942 -11757,4.5183,2.4241 -11758,3.8922,2.4241 -11759,4.2067,2.4241 -11760,4.0978,2.4526 -11761,3.7303,2.4526 -11762,4.3302,2.4526 -11763,3.8887,2.4753 -11764,3.7039,2.4753 -11765,4.9972,2.4753 -11766,4.8997,2.4995 -11767,4.1105,2.4995 -11768,4.1673,2.4995 -11769,5.7831,2.5103 -11770,4.4013,2.5103 -11771,4.5908,2.5103 -11772,4.1389,2.5285 -11773,5.5851,2.5285 -11774,4.7603,2.5285 -11775,5.4567,2.574 -11776,5.0458,2.574 -11777,4.056,2.574 -11778,4.2884,2.6241 -11779,4.075,2.6241 -11780,5.0368,2.6241 -11781,6.0279,2.6489 -11782,4.3619,2.6489 -11783,4.9479,2.6489 -11784,6.051,2.6703 -11785,5.0009,2.6703 -11786,4.9792,2.6703 -11787,6.0109,2.71 -11788,4.3706,2.71 -11789,5.7005,2.71 -11790,5.3169,2.7527 -11791,5.9604,2.7527 -11792,5.4995,2.7527 -11793,4.5425,2.7934 -11794,5.4076,2.7934 -11795,4.7623,2.7934 -11796,5.1193,2.835 -11797,5.916,2.835 -11798,4.7658,2.835 -11799,5.3102,2.8801 -11800,5.4618,2.8801 -11801,5.4678,2.8801 -11802,5.2295,2.9172 -11803,5.5221,2.9172 -11804,6.0712,2.9172 -11805,5.3934,2.9453 -11806,5.0524,2.9453 -11807,4.1692,2.9453 -11808,4.0636,2.9774 -11809,4.8369,2.9774 -11810,4.8232,2.9774 -11811,4.5645,3.0017 -11812,4.6785,3.0017 -11813,4.4944,3.0017 -11814,3.7365,3.0284 -11815,3.2098,3.0284 -11816,4.0281,3.0284 -11817,4.5843,3.0575 -11818,3.8538,3.0575 -11819,3.7799,3.0575 -11820,4.8182,3.0702 -11821,4.459,3.0702 -11822,4.124,3.0702 -11823,5.1423,3.073 -11824,4.1833,3.073 -11825,4.1555,3.073 -11826,4.5247,3.0735 -11827,4.3762,3.0735 -11828,4.3472,3.0735 -11829,5.619,3.0627 -11830,4.554,3.0627 -11831,4.0084,3.0627 -11832,5.0636,3.0332 -11833,4.16,3.0332 -11834,4.197,3.0332 -11835,5.2754,2.9956 -11836,4.4698,2.9956 -11837,4.5044,2.9956 -11838,3.5219,2.9499 -11839,4.8695,2.9499 -11840,4.674,2.9499 -11841,4.404,2.8977 -11842,3.2778,2.8977 -11843,4.1427,2.8977 -11844,3.6909,2.8507 -11845,4.1269,2.8507 -11846,4.383,2.8507 -11847,4.2404,2.8027 -11848,3.4485,2.8027 -11849,3.0137,2.8027 -11850,3.9308,2.7503 -11851,3.5832,2.7503 -11852,2.5493,2.7503 -11853,4.6038,2.6948 -11854,3.9183,2.6948 -11855,3.3472,2.6948 -11856,3.3904,2.635 -11857,4.0672,2.635 -11858,3.7898,2.635 -11859,3.5082,2.5918 -11860,4.1631,2.5918 -11861,4.2728,2.5918 -11862,3.688,2.5576 -11863,3.2908,2.5576 -11864,3.8995,2.5576 -11865,3.6083,2.5212 -11866,3.9172,2.5212 -11867,3.7315,2.5212 -11868,3.7311,2.4696 -11869,4.4187,2.4696 -11870,3.8772,2.4696 -11871,3.9598,2.4163 -11872,4.2508,2.4163 -11873,2.9747,2.4163 -11874,3.0354,2.3783 -11875,3.6483,2.3783 -11876,3.425,2.3783 -11877,3.5139,2.3475 -11878,3.2418,2.3475 -11879,3.7802,2.3475 -11880,3.4714,2.3182 -11881,2.5689,2.3182 -11882,,2.3182 -11883,4.2539,2.3003 -11884,3.9685,2.3003 -11885,3.7547,2.3003 -11886,3.8597,2.2828 -11887,4.1675,2.2828 -11888,3.5358,2.2828 -11889,3.8074,2.2571 -11890,4.5502,2.2571 -11891,3.7066,2.2571 -11892,4.6908,2.2444 -11893,4.2923,2.2444 -11894,3.8389,2.2444 -11895,4.4872,2.2391 -11896,4.7867,2.2391 -11897,4.2061,2.2391 -11898,4.5471,2.2621 -11899,5.0806,2.2621 -11900,4.9485,2.2621 -11901,5.0487,2.3113 -11902,4.7449,2.3113 -11903,4.4057,2.3113 -11904,6.5957,2.3613 -11905,6.5496,2.3613 -11906,5.2859,2.3613 -11907,5.5921,2.4245 -11908,5.9737,2.4245 -11909,4.9092,2.4245 -11910,4.8053,2.5114 -11911,6.6146,2.5114 -11912,5.6221,2.5114 -11913,4.6108,2.5922 -11914,4.2815,2.5922 -11915,5.4517,2.5922 -11916,4.1248,2.6373 -11917,3.9848,2.6373 -11918,4.0559,2.6373 -11919,3.3489,2.654 -11920,3.1043,2.654 -11921,4.074,2.654 -11922,4.1815,2.6605 -11923,4.0563,2.6605 -11924,3.4447,2.6605 -11925,,2.668 -11926,3.549,2.668 -11927,4.3119,2.668 -11928,4.2445,2.6659 -11929,4.0294,2.6659 -11930,4.2397,2.6659 -11931,4.17,2.6658 -11932,3.9333,2.6658 -11933,5.2742,2.6658 -11934,4.1072,2.6842 -11935,3.7627,2.6842 -11936,3.3833,2.6842 -11937,4.5992,2.7043 -11938,4.1202,2.7043 -11939,4.9365,2.7043 -11940,4.3757,2.7379 -11941,5.437,2.7379 -11942,4.7099,2.7379 -11943,5.0929,2.7753 -11944,4.9442,2.7753 -11945,5.2907,2.7753 -11946,5.9066,2.7988 -11947,4.7169,2.7988 -11948,3.6102,2.7988 -11949,4.4065,2.8194 -11950,5.2554,2.8194 -11951,5.3083,2.8194 -11952,4.2539,2.8289 -11953,4.7787,2.8289 -11954,4.3143,2.8289 -11955,4.6752,2.8068 -11956,4.9598,2.8068 -11957,5.8589,2.8068 -11958,3.9141,2.7803 -11959,4.4204,2.7803 -11960,4.8498,2.7803 -11961,5.5551,2.7904 -11962,5.1139,2.7904 -11963,4.1687,2.7904 -11964,3.8401,2.821 -11965,5.3349,2.821 -11966,4.2891,2.821 -11967,4.8599,2.8593 -11968,4.4324,2.8593 -11969,3.504,2.8593 -11970,3.8596,2.9011 -11971,,2.9011 -11972,3.5252,2.9011 -11973,4.037,2.9377 -11974,3.4373,2.9377 -11975,3.9628,2.9377 -11976,3.7414,2.9513 -11977,3.6974,2.9513 -11978,4.6017,2.9513 -11979,4.3274,2.9423 -11980,4.7279,2.9423 -11981,3.8356,2.9423 -11982,4.0387,2.938 -11983,4.1163,2.938 -11984,3.8152,2.938 -11985,4.1334,2.9251 -11986,4.3013,2.9251 -11987,4.2936,2.9251 -11988,4.3588,2.8948 -11989,4.8127,2.8948 -11990,3.6498,2.8948 -11991,4.2327,2.861 -11992,4.1999,2.861 -11993,3.4624,2.861 -11994,4.8095,2.8319 -11995,5.1437,2.8319 -11996,3.7686,2.8319 -11997,3.9631,2.7932 -11998,3.5707,2.7932 -11999,4.105,2.7932 -12000,4.4834,2.7378 -12001,4.3225,2.7378 -12002,4.0163,2.7378 -12003,4.4247,2.6783 -12004,5.2807,2.6783 -12005,3.7576,2.6783 -12006,4.9806,2.6165 -12007,3.7181,2.6165 -12008,3.5355,2.6165 -12009,4.6269,2.5651 -12010,5.0099,2.5651 -12011,5.3575,2.5651 -12012,3.7476,2.5321 -12013,6.2025,2.5321 -12014,5.0576,2.5321 -12015,4.3253,2.5237 -12016,,2.5237 -12017,5.8557,2.5237 -12018,5.0532,2.5258 -12019,5.1212,2.5258 -12020,4.761,2.5258 -12021,4.7915,2.5413 -12022,4.0653,2.5413 -12023,5.5076,2.5413 -12024,4.3305,2.568 -12025,4.3752,2.568 -12026,4.6996,2.568 -12027,4.8166,2.5839 -12028,5.1586,2.5839 -12029,4.2777,2.5839 -12030,4.8913,2.6017 -12031,4.7916,2.6017 -12032,6.5668,2.6017 -12033,4.7495,2.6242 -12034,3.8716,2.6242 -12035,5.855,2.6242 -12036,5.6766,2.6333 -12037,5.7869,2.6333 -12038,5.4254,2.6333 -12039,5.5157,2.6403 -12040,5.369,2.6403 -12041,5.7567,2.6403 -12042,5.495,2.6468 -12043,4.9088,2.6468 -12044,5.1951,2.6468 -12045,6.1128,2.6677 -12046,5.5941,2.6677 -12047,5.5688,2.6677 -12048,5.0822,2.7053 -12049,4.5555,2.7053 -12050,5.7313,2.7053 -12051,5.3661,2.753 -12052,5.3326,2.753 -12053,5.1036,2.753 -12054,5.0,2.8083 -12055,5.1344,2.8083 -12056,5.9344,2.8083 -12057,5.0068,2.8495 -12058,5.5369,2.8495 -12059,5.5516,2.8495 -12060,6.8291,2.9068 -12061,5.2561,2.9068 -12062,5.3261,2.9068 -12063,4.7972,2.9629 -12064,5.887,2.9629 -12065,5.6614,2.9629 -12066,5.1753,2.9877 -12067,5.494,2.9877 -12068,4.8127,2.9877 -12069,5.1542,2.9926 -12070,4.7103,2.9926 -12071,6.2101,2.9926 -12072,5.5088,2.9896 -12073,5.4269,2.9896 -12074,4.7955,2.9896 -12075,5.1741,3.0019 -12076,5.5694,3.0019 -12077,4.4383,3.0019 -12078,4.9606,3.0136 -12079,4.9373,3.0136 -12080,5.626,3.0136 -12081,5.4148,3.0291 -12082,4.4163,3.0291 -12083,6.1672,3.0291 -12084,6.2296,3.05 -12085,5.946,3.05 -12086,5.9106,3.05 -12087,4.857,3.0607 -12088,5.4063,3.0607 -12089,5.9625,3.0607 -12090,5.583,3.0851 -12091,5.3239,3.0851 -12092,5.4808,3.0851 -12093,5.8883,3.1176 -12094,5.73,3.1176 -12095,5.5032,3.1176 -12096,5.7266,3.1281 -12097,4.8921,3.1281 -12098,5.1972,3.1281 -12099,4.3372,3.1156 -12100,5.298,3.1156 -12101,5.6083,3.1156 -12102,4.6906,3.1133 -12103,6.5812,3.1133 -12104,5.9483,3.1133 -12105,6.3574,3.1062 -12106,,3.1062 -12107,6.0324,3.1062 -12108,7.3098,3.0825 -12109,6.2507,3.0825 -12110,6.3952,3.0825 -12111,5.8357,3.0804 -12112,4.164,3.0804 -12113,6.7861,3.0804 -12114,6.4286,3.0993 -12115,7.1642,3.0993 -12116,5.2793,3.0993 -12117,5.2133,3.1363 -12118,5.8705,3.1363 -12119,5.7424,3.1363 -12120,6.2216,3.1748 -12121,5.3691,3.1748 -12122,6.0113,3.1748 -12123,5.802,3.1905 -12124,5.8066,3.1905 -12125,5.1074,3.1905 -12126,5.526,3.1894 -12127,6.7791,3.1894 -12128,5.9074,3.1894 -12129,5.3453,3.1849 -12130,6.6416,3.1849 -12131,3.7962,3.1849 -12132,5.4095,3.1878 -12133,6.1802,3.1878 -12134,4.5455,3.1878 -12135,5.5108,3.1876 -12136,6.7306,3.1876 -12137,6.6761,3.1876 -12138,5.2647,3.178 -12139,5.6793,3.178 -12140,6.515,3.178 -12141,5.6044,3.1912 -12142,6.697,3.1912 -12143,4.8289,3.1912 -12144,5.62,3.2363 -12145,5.9495,3.2363 -12146,6.9291,3.2363 -12147,6.7191,3.2773 -12148,6.1936,3.2773 -12149,6.1968,3.2773 -12150,6.1116,3.2933 -12151,,3.2933 -12152,7.423,3.2933 -12153,6.0406,3.2897 -12154,6.2617,3.2897 -12155,7.0397,3.2897 -12156,5.9741,3.2907 -12157,6.0658,3.2907 -12158,5.9614,3.2907 -12159,5.6023,3.3043 -12160,7.5089,3.3043 -12161,5.8106,3.3043 -12162,5.6111,3.3117 -12163,6.4599,3.3117 -12164,4.9715,3.3117 -12165,6.8685,3.3183 -12166,6.9417,3.3183 -12167,6.347,3.3183 -12168,6.9854,3.3452 -12169,5.0612,3.3452 -12170,7.3915,3.3452 -12171,6.2588,3.4075 -12172,6.973,3.4075 -12173,6.6203,3.4075 -12174,6.5143,3.4805 -12175,6.1253,3.4805 -12176,6.3515,3.4805 -12177,4.3643,3.5326 -12178,5.8841,3.5326 -12179,7.901,3.5326 -12180,6.9599,3.5721 -12181,7.1502,3.5721 -12182,4.7197,3.5721 -12183,6.7061,3.6179 -12184,6.9985,3.6179 -12185,6.4813,3.6179 -12186,7.4113,3.6707 -12187,7.2819,3.6707 -12188,6.3338,3.6707 -12189,6.68,3.7093 -12190,7.0341,3.7093 -12191,5.5941,3.7093 -12192,6.3665,3.7233 -12193,6.1935,3.7233 -12194,6.9357,3.7233 -12195,5.9778,3.7405 -12196,7.5594,3.7405 -12197,,3.7405 -12198,5.3823,3.7727 -12199,7.7414,3.7727 -12200,7.5104,3.7727 -12201,7.0298,3.82 -12202,8.3741,3.82 -12203,5.578,3.82 -12204,6.7557,3.8536 -12205,5.4333,3.8536 -12206,7.1512,3.8536 -12207,7.6272,3.8844 -12208,9.7549,3.8844 -12209,6.8082,3.8844 -12210,6.5002,3.9144 -12211,6.5585,3.9144 -12212,6.8337,3.9144 -12213,7.0783,3.9163 -12214,6.8884,3.9163 -12215,5.7643,3.9163 -12216,7.2779,3.8815 -12217,6.937,3.8815 -12218,6.5938,3.8815 -12219,7.3911,3.8426 -12220,5.1673,3.8426 -12221,6.1972,3.8426 -12222,6.1188,3.8223 -12223,5.6886,3.8223 -12224,5.9,3.8223 -12225,5.5334,3.8161 -12226,6.3139,3.8161 -12227,5.9015,3.8161 -12228,6.966,3.7917 -12229,6.5467,3.7917 -12230,7.6821,3.7917 -12231,7.0634,3.7522 -12232,6.0094,3.7522 -12233,7.9179,3.7522 -12234,5.164,3.7213 -12235,6.8442,3.7213 -12236,5.9303,3.7213 -12237,6.4739,3.7025 -12238,5.4816,3.7025 -12239,5.9297,3.7025 -12240,6.8923,3.6902 -12241,,3.6902 -12242,8.0621,3.6902 -12243,7.2899,3.6766 -12244,6.9693,3.6766 -12245,5.6155,3.6766 -12246,5.9098,3.6742 -12247,7.5734,3.6742 -12248,6.863,3.6742 -12249,7.8284,3.696 -12250,6.8352,3.696 -12251,7.8634,3.696 -12252,5.463,3.7296 -12253,7.2096,3.7296 -12254,7.919,3.7296 -12255,7.0597,3.7385 -12256,7.375,3.7385 -12257,6.9581,3.7385 -12258,5.8255,3.7574 -12259,8.2149,3.7574 -12260,7.5637,3.7574 -12261,9.5249,3.8233 -12262,8.5113,3.8233 -12263,7.4948,3.8233 -12264,7.4729,3.9116 -12265,7.8958,3.9116 -12266,9.5245,3.9116 -12267,7.1688,3.9936 -12268,7.7737,3.9936 -12269,6.7096,3.9936 -12270,7.0377,4.045 -12271,7.7767,4.045 -12272,6.1441,4.045 -12273,7.3576,4.0936 -12274,8.1893,4.0936 -12275,7.7092,4.0936 -12276,7.3516,4.1367 -12277,5.9659,4.1367 -12278,7.2628,4.1367 -12279,5.9731,4.1623 -12280,6.2851,4.1623 -12281,6.8383,4.1623 -12282,5.4073,4.1724 -12283,6.8553,4.1724 -12284,,4.1724 -12285,7.3769,4.1888 -12286,7.1809,4.1888 -12287,9.3339,4.1888 -12288,7.0147,4.2007 -12289,7.3715,4.2007 -12290,5.3403,4.2007 -12291,6.906,4.1946 -12292,5.6365,4.1946 -12293,6.8677,4.1946 -12294,5.7163,4.1671 -12295,6.8768,4.1671 -12296,6.1126,4.1671 -12297,6.9269,4.132 -12298,7.3104,4.132 -12299,7.3591,4.132 -12300,7.2458,4.1175 -12301,6.2287,4.1175 -12302,5.4559,4.1175 -12303,6.3516,4.1111 -12304,7.8841,4.1111 -12305,6.9902,4.1111 -12306,6.317,4.0966 -12307,6.0724,4.0966 -12308,,4.0966 -12309,6.5107,4.0765 -12310,6.7443,4.0765 -12311,5.4928,4.0765 -12312,6.7722,4.0554 -12313,6.8328,4.0554 -12314,5.7839,4.0554 -12315,6.7534,4.0201 -12316,6.1718,4.0201 -12317,6.2533,4.0201 -12318,8.7405,3.9971 -12319,6.9071,3.9971 -12320,6.619,3.9971 -12321,7.0964,4.002 -12322,5.8597,4.002 -12323,5.7001,4.002 -12324,7.9262,4.001 -12325,6.5687,4.001 -12326,6.4565,4.001 -12327,6.6302,4.0029 -12328,5.8774,4.0029 -12329,6.5056,4.0029 -12330,6.5091,4.0161 -12331,4.7612,4.0161 -12332,8.4147,4.0161 -12333,6.0481,4.0452 -12334,7.0558,4.0452 -12335,7.5733,4.0452 -12336,7.3603,4.0762 -12337,6.4707,4.0762 -12338,5.399,4.0762 -12339,6.7264,4.0815 -12340,7.1864,4.0815 -12341,5.0864,4.0815 -12342,7.6492,4.064 -12343,7.1197,4.064 -12344,6.2021,4.064 -12345,6.8553,4.0543 -12346,6.0514,4.0543 -12347,7.2838,4.0543 -12348,5.3623,4.065 -12349,6.309,4.065 -12350,7.4702,4.065 -12351,7.4365,4.0588 -12352,6.4734,4.0588 -12353,7.0069,4.0588 -12354,6.2885,4.0265 -12355,6.2676,4.0265 -12356,6.6346,4.0265 -12357,6.4141,3.9884 -12358,8.0976,3.9884 -12359,7.1014,3.9884 -12360,7.2656,3.958 -12361,6.184,3.958 -12362,6.7647,3.958 -12363,7.3203,3.9236 -12364,6.7452,3.9236 -12365,4.983,3.9236 -12366,5.9135,3.8819 -12367,5.2589,3.8819 -12368,7.4221,3.8819 -12369,7.096,3.8478 -12370,7.1617,3.8478 -12371,5.983,3.8478 -12372,8.0658,3.8477 -12373,8.0466,3.8477 -12374,5.8974,3.8477 -12375,6.1709,3.8371 -12376,5.6056,3.8371 -12377,7.273,3.8371 -12378,6.5324,3.8052 -12379,8.2341,3.8052 -12380,5.5768,3.8052 -12381,6.3369,3.7767 -12382,6.6918,3.7767 -12383,6.8765,3.7767 -12384,6.0463,3.7772 -12385,6.9623,3.7772 -12386,5.2392,3.7772 -12387,7.0825,3.7938 -12388,7.105,3.7938 -12389,7.5945,3.7938 -12390,6.1672,3.8134 -12391,7.3049,3.8134 -12392,7.2721,3.8134 -12393,6.7692,3.8017 -12394,6.3346,3.8017 -12395,6.7878,3.8017 -12396,5.4714,3.7728 -12397,6.9933,3.7728 -12398,,3.7728 -12399,7.1492,3.7527 -12400,6.728,3.7527 -12401,7.3352,3.7527 -12402,7.2401,3.733 -12403,8.2857,3.733 -12404,7.588,3.733 -12405,6.0119,3.7181 -12406,8.2076,3.7181 -12407,7.9945,3.7181 -12408,7.3324,3.724 -12409,7.6656,3.724 -12410,7.0012,3.724 -12411,7.497,3.7388 -12412,7.0786,3.7388 -12413,7.175,3.7388 -12414,7.9765,3.7479 -12415,7.1985,3.7479 -12416,6.0567,3.7479 -12417,7.6821,3.7621 -12418,,3.7621 -12419,5.7733,3.7621 -12420,6.73,3.7865 -12421,6.9721,3.7865 -12422,7.1114,3.7865 -12423,7.1795,3.8212 -12424,6.9411,3.8212 -12425,8.2589,3.8212 -12426,7.105,3.8572 -12427,6.8295,3.8572 -12428,7.7961,3.8572 -12429,7.4003,3.8802 -12430,7.7304,3.8802 -12431,7.5122,3.8802 -12432,7.976,3.8888 -12433,7.7274,3.8888 -12434,7.4174,3.8888 -12435,8.1966,3.8928 -12436,6.1293,3.8928 -12437,7.4178,3.8928 -12438,8.7253,3.9123 -12439,7.3013,3.9123 -12440,7.4223,3.9123 -12441,6.6263,3.9453 -12442,7.7783,3.9453 -12443,8.0581,3.9453 -12444,8.8387,3.9805 -12445,6.9682,3.9805 -12446,7.7328,3.9805 -12447,7.5991,4.0277 -12448,7.6416,4.0277 -12449,8.3757,4.0277 -12450,7.3351,4.0561 -12451,7.2425,4.0561 -12452,8.0972,4.0561 -12453,7.0162,4.0719 -12454,8.2904,4.0719 -12455,8.5217,4.0719 -12456,8.0109,4.0933 -12457,6.9971,4.0933 -12458,8.1777,4.0933 -12459,7.9413,4.1173 -12460,7.0321,4.1173 -12461,8.5164,4.1173 -12462,7.4913,4.1512 -12463,7.6206,4.1512 -12464,8.0438,4.1512 -12465,7.3154,4.1579 -12466,7.6341,4.1579 -12467,7.3372,4.1579 -12468,8.5091,4.1547 -12469,8.1558,4.1547 -12470,6.8076,4.1547 -12471,7.589,4.1843 -12472,8.8804,4.1843 -12473,8.4689,4.1843 -12474,6.9927,4.2161 -12475,8.482,4.2161 -12476,7.5833,4.2161 -12477,7.5263,4.2307 -12478,9.2453,4.2307 -12479,8.3632,4.2307 -12480,7.6823,4.2426 -12481,6.6487,4.2426 -12482,7.2767,4.2426 -12483,6.4831,4.239 -12484,9.0335,4.239 -12485,7.0512,4.239 -12486,8.8368,4.2349 -12487,6.2442,4.2349 -12488,6.8071,4.2349 -12489,7.9575,4.244 -12490,9.5165,4.244 -12491,7.8437,4.244 -12492,7.1483,4.2516 -12493,8.6526,4.2516 -12494,8.2035,4.2516 -12495,8.7974,4.2655 -12496,7.8115,4.2655 -12497,8.4551,4.2655 -12498,7.4124,4.2891 -12499,7.4023,4.2891 -12500,9.3679,4.2891 -12501,8.2179,4.3073 -12502,6.6577,4.3073 -12503,8.635,4.3073 -12504,8.9381,4.321 -12505,8.1413,4.321 -12506,7.0829,4.321 -12507,7.722,4.3181 -12508,6.8077,4.3181 -12509,7.5502,4.3181 -12510,7.6904,4.3165 -12511,7.8708,4.3165 -12512,6.6303,4.3165 -12513,8.3364,4.3273 -12514,7.786,4.3273 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-12563,9.007,4.5552 -12564,7.2524,4.5531 -12565,8.887,4.5531 -12566,8.4162,4.5531 -12567,6.0693,4.5661 -12568,8.6511,4.5661 -12569,7.7287,4.5661 -12570,8.0941,4.5752 -12571,7.9462,4.5752 -12572,7.7523,4.5752 -12573,6.8282,4.5802 -12574,8.0561,4.5802 -12575,7.1952,4.5802 -12576,8.4444,4.5586 -12577,9.0867,4.5586 -12578,8.1172,4.5586 -12579,8.324,4.5435 -12580,8.8775,4.5435 -12581,9.021,4.5435 -12582,8.844,4.5413 -12583,8.6263,4.5413 -12584,8.3488,4.5413 -12585,7.2999,4.5288 -12586,6.528,4.5288 -12587,8.2274,4.5288 -12588,7.1469,4.5246 -12589,9.0545,4.5246 -12590,7.0292,4.5246 -12591,8.6822,4.5187 -12592,9.2558,4.5187 -12593,7.4513,4.5187 -12594,8.8434,4.501 -12595,7.7653,4.501 -12596,7.5618,4.501 -12597,7.1072,4.4799 -12598,8.0613,4.4799 -12599,7.7968,4.4799 -12600,7.9405,4.4768 -12601,7.6317,4.4768 -12602,9.4518,4.4768 -12603,7.5804,4.5003 -12604,8.6839,4.5003 -12605,5.7452,4.5003 -12606,8.3809,4.5349 -12607,8.6775,4.5349 -12608,7.2694,4.5349 -12609,8.1399,4.5675 -12610,6.9486,4.5675 -12611,8.4867,4.5675 -12612,7.466,4.5923 -12613,6.9579,4.5923 -12614,7.9115,4.5923 -12615,9.6312,4.5994 -12616,9.5322,4.5994 -12617,8.3437,4.5994 -12618,8.3172,4.5974 -12619,7.7421,4.5974 -12620,9.0657,4.5974 -12621,,4.597 -12622,7.3552,4.597 -12623,10.1404,4.597 -12624,9.0858,4.5988 -12625,7.401,4.5988 -12626,9.33,4.5988 -12627,6.6719,4.6093 -12628,9.9657,4.6093 -12629,8.0391,4.6093 -12630,8.4714,4.654 -12631,8.2476,4.654 -12632,10.3163,4.654 -12633,9.5318,4.7124 -12634,8.1969,4.7124 -12635,8.2048,4.7124 -12636,9.3474,4.7442 -12637,7.9753,4.7442 -12638,9.7695,4.7442 -12639,9.1042,4.7563 -12640,8.7969,4.7563 -12641,8.6548,4.7563 -12642,7.6867,4.7716 -12643,8.4813,4.7716 -12644,,4.7716 -12645,7.8306,4.8002 -12646,8.9304,4.8002 -12647,8.9468,4.8002 -12648,8.7498,4.8297 -12649,8.5593,4.8297 -12650,9.159,4.8297 -12651,7.4766,4.8521 -12652,9.7909,4.8521 -12653,8.2298,4.8521 -12654,8.3095,4.8765 -12655,8.552,4.8765 -12656,8.2788,4.8765 -12657,9.9736,4.9028 -12658,8.9505,4.9028 -12659,8.7165,4.9028 -12660,8.3942,4.9407 -12661,7.7427,4.9407 -12662,10.5276,4.9407 -12663,,4.9916 -12664,8.9261,4.9916 -12665,8.8886,4.9916 -12666,8.6871,5.035 -12667,9.9027,5.035 -12668,,5.035 -12669,7.6734,5.0449 -12670,9.8723,5.0449 -12671,9.3081,5.0449 -12672,9.7946,5.0409 -12673,9.3308,5.0409 -12674,6.6224,5.0409 -12675,8.4948,5.0316 -12676,9.9848,5.0316 -12677,7.1821,5.0316 -12678,8.9417,5.0183 -12679,9.2451,5.0183 -12680,7.5497,5.0183 -12681,8.0137,5.0121 -12682,8.8171,5.0121 -12683,8.2257,5.0121 -12684,9.5508,5.0157 -12685,8.0814,5.0157 -12686,9.0611,5.0157 -12687,8.0398,5.0133 -12688,,5.0133 -12689,9.1148,5.0133 -12690,9.0555,5.0301 -12691,9.831,5.0301 -12692,9.0462,5.0301 -12693,9.3811,5.0599 -12694,8.5751,5.0599 -12695,9.1699,5.0599 -12696,8.615,5.0858 -12697,9.1546,5.0858 -12698,9.3141,5.0858 -12699,10.2027,5.0941 -12700,9.0206,5.0941 -12701,9.8348,5.0941 -12702,8.096,5.0838 -12703,9.6536,5.0838 -12704,8.2791,5.0838 -12705,9.4708,5.0735 -12706,10.1893,5.0735 -12707,9.7408,5.0735 -12708,8.9724,5.0493 -12709,,5.0493 -12710,11.0311,5.0493 -12711,10.4638,5.0226 -12712,8.2767,5.0226 -12713,,5.0226 -12714,9.1593,5.0116 -12715,8.0919,5.0116 -12716,9.2025,5.0116 -12717,9.5278,5.0119 -12718,8.7003,5.0119 -12719,8.4125,5.0119 -12720,7.779,5.0174 -12721,8.6181,5.0174 -12722,8.7266,5.0174 -12723,8.7795,5.0325 -12724,10.1994,5.0325 -12725,9.1853,5.0325 -12726,7.2691,5.0466 -12727,8.5351,5.0466 -12728,8.9942,5.0466 -12729,9.3011,5.059 -12730,9.1207,5.059 -12731,10.7662,5.059 -12732,10.1891,5.0826 -12733,9.3078,5.0826 -12734,10.2401,5.0826 -12735,10.7639,5.1034 -12736,7.023,5.1034 -12737,9.0275,5.1034 -12738,7.1925,5.0926 -12739,9.6121,5.0926 -12740,10.8584,5.0926 -12741,8.9614,5.0577 -12742,9.7017,5.0577 -12743,10.7727,5.0577 -12744,7.0347,5.0469 -12745,9.9938,5.0469 -12746,9.6952,5.0469 -12747,8.6624,5.0445 -12748,8.9483,5.0445 -12749,9.9952,5.0445 -12750,8.9901,5.0332 -12751,9.5787,5.0332 -12752,9.5965,5.0332 -12753,9.7876,5.0171 -12754,10.4475,5.0171 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-12849,7.5038,5.1963 -12850,9.2181,5.1963 -12851,9.4968,5.1963 -12852,10.5253,5.1716 -12853,8.9608,5.1716 -12854,10.1827,5.1716 -12855,11.4361,5.1396 -12856,9.141,5.1396 -12857,9.9128,5.1396 -12858,9.8644,5.1413 -12859,10.5051,5.1413 -12860,9.6769,5.1413 -12861,7.3411,5.1738 -12862,8.5669,5.1738 -12863,9.7547,5.1738 -12864,8.897,5.201 -12865,9.5793,5.201 -12866,8.77,5.201 -12867,9.5212,5.2076 -12868,10.1538,5.2076 -12869,10.1187,5.2076 -12870,9.7042,5.2193 -12871,9.3752,5.2193 -12872,8.0114,5.2193 -12873,10.189,5.2271 -12874,11.3197,5.2271 -12875,9.4125,5.2271 -12876,10.65,5.2282 -12877,10.3556,5.2282 -12878,9.7619,5.2282 -12879,9.3406,5.2339 -12880,9.5396,5.2339 -12881,10.0742,5.2339 -12882,11.9906,5.2429 -12883,9.7395,5.2429 -12884,10.5764,5.2429 -12885,9.6696,5.2382 -12886,10.9056,5.2382 -12887,10.03,5.2382 -12888,10.7021,5.218 -12889,,5.218 -12890,10.0276,5.218 -12891,10.0414,5.2309 -12892,10.8213,5.2309 -12893,9.5134,5.2309 -12894,11.5755,5.2755 -12895,10.0084,5.2755 -12896,9.5525,5.2755 -12897,9.8112,5.3319 -12898,9.1555,5.3319 -12899,10.9465,5.3319 -12900,10.2161,5.3949 -12901,10.4332,5.3949 -12902,10.0694,5.3949 -12903,12.3245,5.43 -12904,8.4308,5.43 -12905,9.6247,5.43 -12906,11.2547,5.4424 -12907,8.7616,5.4424 -12908,10.7895,5.4424 -12909,11.102,5.4505 -12910,10.1408,5.4505 -12911,9.9674,5.4505 -12912,11.4387,5.471 -12913,9.0811,5.471 -12914,10.6057,5.471 -12915,11.1127,5.4998 -12916,10.7213,5.4998 -12917,11.2914,5.4998 -12918,10.4772,5.5285 -12919,11.4227,5.5285 -12920,11.5398,5.5285 -12921,10.2483,5.5484 -12922,11.8197,5.5484 -12923,8.8124,5.5484 -12924,9.8035,5.5581 -12925,10.2695,5.5581 -12926,10.2977,5.5581 -12927,9.4232,5.5693 -12928,12.9117,5.5693 -12929,9.6821,5.5693 -12930,11.4906,5.5657 -12931,9.2916,5.5657 -12932,10.4389,5.5657 -12933,9.8491,5.5608 -12934,,5.5608 -12935,12.9661,5.5608 -12936,10.4155,5.5685 -12937,11.0874,5.5685 -12938,11.2907,5.5685 -12939,10.805,5.5594 -12940,10.2067,5.5594 -12941,11.3051,5.5594 -12942,9.5211,5.5372 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-19203,5.6404,4.3461 -19204,7.3522,4.3461 -19205,7.6225,4.3461 -19206,6.018,4.3777 -19207,5.867,4.3777 -19208,6.2468,4.3777 -19209,6.2417,4.4218 -19210,10.2384,4.4218 -19211,5.2034,4.4218 -19212,5.8434,4.4253 -19213,5.8622,4.4253 -19214,6.2598,4.4253 -19215,6.0947,4.4422 -19216,5.2031,4.4422 -19217,6.6585,4.4422 -19218,5.8503,4.4918 -19219,5.0342,4.4918 -19220,5.9808,4.4918 -19221,6.1965,4.5177 -19222,5.7903,4.5177 -19223,7.3576,4.5177 -19224,8.6183,4.5451 -19225,6.7099,4.5451 -19226,5.3492,4.5451 -19227,6.887,4.5882 -19228,6.2001,4.5882 -19229,8.5705,4.5882 -19230,9.2232,4.6236 -19231,6.0589,4.6236 -19232,7.8463,4.6236 -19233,12.8659,4.6753 -19234,5.8214,4.6753 -19235,7.0902,4.6753 -19236,5.3227,4.7349 -19237,6.2658,4.7349 -19238,5.4653,4.7349 -19239,8.0517,4.7826 -19240,5.8298,4.7826 -19241,6.8619,4.7826 -19242,7.9547,4.8194 -19243,5.286,4.8194 -19244,6.0885,4.8194 -19245,5.9868,4.8468 -19246,6.4343,4.8468 -19247,8.9022,4.8468 -19248,6.0424,4.8581 -19249,,4.8581 -19250,5.6612,4.8581 -19251,6.0987,4.8467 -19252,6.3255,4.8467 -19253,5.3274,4.8467 -19254,6.5991,4.8417 -19255,5.9739,4.8417 -19256,5.3358,4.8417 -19257,5.4495,4.8551 -19258,5.5808,4.8551 -19259,6.3776,4.8551 -19260,7.528,4.86 -19261,5.3643,4.86 -19262,6.277,4.86 -19263,4.8315,4.8368 -19264,5.7938,4.8368 -19265,5.144,4.8368 -19266,5.4497,4.8049 -19267,5.6132,4.8049 -19268,8.185,4.8049 -19269,5.8108,4.7724 -19270,,4.7724 -19271,5.7197,4.7724 -19272,5.3251,4.7331 -19273,5.3043,4.7331 -19274,5.7319,4.7331 -19275,5.0366,4.693 -19276,5.7834,4.693 -19277,5.9054,4.693 -19278,5.4276,4.646 -19279,6.6486,4.646 -19280,5.2668,4.646 -19281,6.4116,4.5846 -19282,6.557,4.5846 -19283,6.2183,4.5846 -19284,5.6633,4.5183 -19285,,4.5183 -19286,5.3112,4.5183 -19287,5.8747,4.4809 -19288,6.2985,4.4809 -19289,6.3501,4.4809 -19290,7.0084,4.4398 -19291,4.954,4.4398 -19292,6.5146,4.4398 -19293,,4.4081 -19294,6.4803,4.4081 -19295,7.0088,4.4081 -19296,6.3121,4.4278 -19297,7.6996,4.4278 -19298,7.6016,4.4278 -19299,7.3661,4.442 -19300,5.3692,4.442 -19301,6.6229,4.442 -19302,6.0605,4.4687 -19303,6.4104,4.4687 -19304,8.2927,4.4687 -19305,6.8543,4.5263 -19306,6.1261,4.5263 -19307,7.4564,4.5263 -19308,5.8006,4.579 -19309,6.361,4.579 -19310,6.8519,4.579 -19311,6.5542,4.6231 -19312,7.4107,4.6231 -19313,6.5029,4.6231 -19314,5.7397,4.656 -19315,5.824,4.656 -19316,,4.656 -19317,7.4646,4.6795 -19318,6.1702,4.6795 -19319,6.6885,4.6795 -19320,7.131,4.6965 -19321,6.8338,4.6965 -19322,6.4461,4.6965 -19323,7.0152,4.7102 -19324,6.3544,4.7102 -19325,5.8348,4.7102 -19326,6.0492,4.7256 -19327,7.5465,4.7256 -19328,7.874,4.7256 -19329,7.4247,4.7306 -19330,6.2174,4.7306 -19331,7.8388,4.7306 -19332,6.1294,4.7424 -19333,5.7738,4.7424 -19334,6.6737,4.7424 -19335,6.7068,4.7696 -19336,7.5996,4.7696 -19337,6.3109,4.7696 -19338,6.2409,4.8047 -19339,6.9639,4.8047 -19340,,4.8047 -19341,7.2007,4.8391 -19342,7.2001,4.8391 -19343,7.6795,4.8391 -19344,7.727,4.8678 -19345,7.8027,4.8678 -19346,8.4427,4.8678 -19347,8.3653,4.9009 -19348,8.5707,4.9009 -19349,10.5836,4.9009 -19350,8.3011,4.9354 -19351,8.4228,4.9354 -19352,13.3581,4.9354 -19353,8.9609,4.9958 -19354,9.829,4.9958 -19355,11.3302,4.9958 -19356,9.1563,5.0906 -19357,8.894,5.0906 -19358,8.5411,5.0906 -19359,10.503,5.2357 -19360,9.0796,5.2357 -19361,8.8334,5.2357 -19362,10.5654,5.4197 -19363,8.697,5.4197 -19364,9.8815,5.4197 -19365,11.1076,5.5993 -19366,9.3968,5.5993 -19367,9.435,5.5993 -19368,9.0752,5.7724 -19369,9.4879,5.7724 -19370,10.671,5.7724 -19371,9.7774,5.9426 -19372,11.0299,5.9426 -19373,10.4374,5.9426 -19374,10.1778,6.1174 -19375,10.7728,6.1174 -19376,10.4998,6.1174 -19377,10.1404,6.2865 -19378,10.9052,6.2865 -19379,11.2361,6.2865 -19380,12.0345,6.4499 -19381,,6.4499 -19382,10.9064,6.4499 -19383,10.7945,6.606 -19384,11.4318,6.606 -19385,10.3617,6.606 -19386,10.1006,6.7668 -19387,10.5574,6.7668 -19388,10.5039,6.7668 -19389,9.713,6.9439 -19390,10.0219,6.9439 -19391,10.0112,6.9439 -19392,10.1058,7.1305 -19393,11.4128,7.1305 -19394,9.0106,7.1305 -19395,10.9433,7.2827 -19396,15.3772,7.2827 -19397,9.988,7.2827 -19398,12.4192,7.3833 -19399,9.3742,7.3833 -19400,9.3048,7.3833 -19401,11.2208,7.4461 -19402,9.8239,7.4461 -19403,10.1196,7.4461 -19404,9.8749,7.4723 -19405,9.5494,7.4723 -19406,10.5358,7.4723 -19407,9.1426,7.4804 -19408,15.8992,7.4804 -19409,10.6743,7.4804 -19410,10.3852,7.4707 -19411,9.1098,7.4707 -19412,9.549,7.4707 -19413,12.6129,7.4664 -19414,8.6063,7.4664 -19415,9.2797,7.4664 -19416,8.7189,7.4687 -19417,10.0059,7.4687 -19418,9.5596,7.4687 -19419,12.2706,7.4528 -19420,8.7446,7.4528 -19421,8.5461,7.4528 -19422,9.159,7.4237 -19423,9.0787,7.4237 -19424,9.5449,7.4237 -19425,9.1727,7.3707 -19426,11.6696,7.3707 -19427,13.8901,7.3707 -19428,9.1622,7.3181 -19429,,7.3181 -19430,11.8981,7.3181 -19431,10.6189,7.2662 -19432,12.6277,7.2662 -19433,10.0853,7.2662 -19434,9.3561,7.1787 -19435,8.9683,7.1787 -19436,8.7971,7.1787 -19437,9.7753,7.0749 -19438,9.9199,7.0749 -19439,8.9911,7.0749 -19440,12.2338,6.9835 -19441,7.4229,6.9835 -19442,9.2741,6.9835 -19443,7.614,6.9228 -19444,8.4351,6.9228 -19445,8.3264,6.9228 -19446,8.1018,6.8547 -19447,8.066,6.8547 -19448,11.917,6.8547 -19449,7.3942,6.7649 -19450,7.6699,6.7649 -19451,9.6265,6.7649 -19452,9.172,6.702 -19453,8.4381,6.702 -19454,8.2889,6.702 -19455,7.7435,6.6062 -19456,8.2135,6.6062 -19457,9.204,6.6062 -19458,8.6726,6.5227 -19459,8.5917,6.5227 -19460,7.7952,6.5227 -19461,9.0522,6.4444 -19462,9.5048,6.4444 -19463,9.5405,6.4444 -19464,10.719,6.3634 -19465,9.7541,6.3634 -19466,8.0786,6.3634 -19467,9.1594,6.2942 -19468,9.9434,6.2942 -19469,8.8417,6.2942 -19470,7.1382,6.2417 -19471,8.4837,6.2417 -19472,11.0425,6.2417 -19473,9.4779,6.1891 -19474,9.6327,6.1891 -19475,,6.1891 -19476,7.9049,6.1328 -19477,10.9059,6.1328 -19478,9.7551,6.1328 -19479,9.0297,6.0798 -19480,10.5633,6.0798 -19481,8.0149,6.0798 -19482,8.6116,6.0388 -19483,9.3452,6.0388 -19484,8.3022,6.0388 -19485,11.1839,6.0032 -19486,8.5093,6.0032 -19487,8.7982,6.0032 -19488,7.7601,5.9537 -19489,13.9274,5.9537 -19490,8.1001,5.9537 -19491,7.7986,5.8935 -19492,8.7467,5.8935 -19493,8.5012,5.8935 -19494,12.0928,5.862 -19495,9.1584,5.862 -19496,8.0156,5.862 -19497,8.459,5.8401 -19498,9.1104,5.8401 -19499,10.0305,5.8401 -19500,9.6152,5.8357 -19501,9.4674,5.8357 -19502,8.1369,5.8357 -19503,10.0077,5.8568 -19504,16.4893,5.8568 -19505,8.9418,5.8568 -19506,11.3972,5.8749 -19507,9.5623,5.8749 -19508,10.6344,5.8749 -19509,13.0825,5.8929 -19510,8.9145,5.8929 -19511,9.6999,5.8929 -19512,12.4167,5.8994 -19513,9.8087,5.8994 -19514,11.7497,5.8994 -19515,11.3437,5.8783 -19516,8.7437,5.8783 -19517,10.0339,5.8783 -19518,10.9034,5.8697 -19519,9.8861,5.8697 -19520,,5.8697 -19521,10.208,5.8863 -19522,10.9022,5.8863 -19523,13.4438,5.8863 -19524,12.2334,5.9421 -19525,9.1801,5.9421 -19526,16.4182,5.9421 -19527,8.6115,5.9976 -19528,10.7097,5.9976 -19529,8.645,5.9976 -19530,11.7247,6.0393 -19531,10.0351,6.0393 -19532,10.0033,6.0393 -19533,12.4027,6.0637 -19534,9.0821,6.0637 -19535,9.4327,6.0637 -19536,15.7597,6.0922 -19537,9.1449,6.0922 -19538,9.9255,6.0922 -19539,8.7322,6.1164 -19540,10.0255,6.1164 -19541,12.5073,6.1164 -19542,9.872,6.1243 -19543,9.1213,6.1243 -19544,15.626,6.1243 -19545,9.3101,6.1287 -19546,9.6936,6.1287 -19547,16.3845,6.1287 -19548,9.9088,6.1463 -19549,11.2072,6.1463 -19550,10.3787,6.1463 -19551,9.9501,6.1647 -19552,13.483,6.1647 -19553,8.2542,6.1647 -19554,11.5963,6.1545 -19555,10.8743,6.1545 -19556,9.6357,6.1545 -19557,9.9889,6.1331 -19558,9.5652,6.1331 -19559,10.0591,6.1331 -19560,10.7144,6.1519 -19561,8.9527,6.1519 -19562,,6.1519 -19563,9.0997,6.1859 -19564,9.7646,6.1859 -19565,9.8282,6.1859 -19566,10.0671,6.1931 -19567,10.7575,6.1931 -19568,10.4363,6.1931 -19569,10.2452,6.1797 -19570,11.2672,6.1797 -19571,11.846,6.1797 -19572,10.799,6.1851 -19573,11.1284,6.1851 -19574,8.1063,6.1851 -19575,11.7967,6.214 -19576,13.0577,6.214 -19577,9.1062,6.214 -19578,10.8522,6.2308 -19579,13.0618,6.2308 -19580,8.4363,6.2308 -19581,10.8898,6.2378 -19582,10.7884,6.2378 -19583,9.6797,6.2378 -19584,9.8306,6.2464 -19585,,6.2464 -19586,10.6597,6.2464 -19587,8.6379,6.2731 -19588,14.1238,6.2731 -19589,10.3485,6.2731 -19590,10.4123,6.3066 -19591,9.6201,6.3066 -19592,10.963,6.3066 -19593,11.3882,6.3157 -19594,9.4872,6.3157 -19595,7.9949,6.3157 -19596,10.0557,6.2795 -19597,8.8428,6.2795 -19598,15.1922,6.2795 -19599,,6.2653 -19600,10.185,6.2653 -19601,12.0143,6.2653 -19602,9.1907,6.2704 -19603,10.6586,6.2704 -19604,8.7304,6.2704 -19605,13.7308,6.2475 -19606,9.0175,6.2475 -19607,9.2392,6.2475 -19608,11.5056,6.2062 -19609,8.2626,6.2062 -19610,11.2866,6.2062 -19611,9.595,6.1697 -19612,8.1687,6.1697 -19613,8.1709,6.1697 -19614,10.4665,6.1267 -19615,9.3869,6.1267 -19616,9.8761,6.1267 -19617,12.1145,6.0657 -19618,8.7767,6.0657 -19619,7.9433,6.0657 -19620,7.8643,5.9716 -19621,9.0575,5.9716 -19622,9.287,5.9716 -19623,8.0774,5.8435 -19624,9.1562,5.8435 -19625,10.2589,5.8435 -19626,6.5099,5.7737 -19627,,5.7737 -19628,9.6149,5.7737 -19629,10.0949,5.6974 -19630,7.6593,5.6974 -19631,8.016,5.6974 -19632,11.0244,5.5606 -19633,9.3341,5.5606 -19634,6.9601,5.5606 -19635,8.3864,5.4461 -19636,6.3179,5.4461 -19637,8.5526,5.4461 -19638,7.2303,5.3584 -19639,8.2328,5.3584 -19640,10.0745,5.3584 -19641,6.947,5.2702 -19642,8.6735,5.2702 -19643,10.5915,5.2702 -19644,7.9324,5.1742 -19645,9.1394,5.1742 -19646,8.1006,5.1742 -19647,7.4794,5.0839 -19648,8.1905,5.0839 -19649,9.1955,5.0839 -19650,7.0464,5.022 -19651,9.7869,5.022 -19652,7.7866,5.022 -19653,7.4899,4.9771 -19654,7.2243,4.9771 -19655,8.0534,4.9771 -19656,8.4816,4.9144 -19657,8.4874,4.9144 -19658,6.71,4.9144 -19659,9.9722,4.8509 -19660,7.0152,4.8509 -19661,7.9088,4.8509 -19662,7.531,4.8013 -19663,8.5105,4.8013 -19664,9.0162,4.8013 -19665,8.6186,4.7436 -19666,9.2001,4.7436 -19667,7.9907,4.7436 -19668,8.1209,4.6956 -19669,8.9496,4.6956 -19670,10.0702,4.6956 -19671,7.0502,4.6261 -19672,7.6212,4.6261 -19673,7.3117,4.6261 -19674,8.4338,4.5243 -19675,11.0341,4.5243 -19676,6.4651,4.5243 -19677,7.8458,4.4542 -19678,10.2284,4.4542 -19679,7.7557,4.4542 -19680,6.604,4.4241 -19681,6.7778,4.4241 -19682,6.9458,4.4241 -19683,9.0387,4.3952 -19684,7.0605,4.3952 -19685,7.2013,4.3952 -19686,6.0923,4.3545 -19687,7.534,4.3545 -19688,7.3061,4.3545 -19689,6.794,4.3206 -19690,8.2971,4.3206 -19691,6.7759,4.3206 -19692,8.035,4.2903 -19693,7.7823,4.2903 -19694,6.2057,4.2903 -19695,6.8171,4.235 -19696,6.0986,4.235 -19697,6.4806,4.235 -19698,7.3086,4.1538 -19699,6.5461,4.1538 -19700,6.6897,4.1538 -19701,6.3399,4.0855 -19702,5.9653,4.0855 -19703,5.8114,4.0855 -19704,6.6316,4.0357 -19705,5.3307,4.0357 -19706,6.0319,4.0357 -19707,6.7478,3.9806 -19708,5.7574,3.9806 -19709,7.1216,3.9806 -19710,7.1965,3.9065 -19711,6.0328,3.9065 -19712,6.9603,3.9065 -19713,8.1206,3.8497 -19714,6.0799,3.8497 -19715,7.6132,3.8497 -19716,7.7454,3.8324 -19717,7.1747,3.8324 -19718,7.0036,3.8324 -19719,7.1697,3.8449 -19720,7.3646,3.8449 -19721,6.1157,3.8449 -19722,5.759,3.8735 -19723,9.6632,3.8735 -19724,6.8557,3.8735 -19725,7.1957,3.8789 -19726,7.177,3.8789 -19727,6.2866,3.8789 -19728,8.39,3.8557 -19729,7.946,3.8557 -19730,6.6469,3.8557 -19731,6.2216,3.8281 -19732,6.0376,3.8281 -19733,6.6931,3.8281 -19734,5.8772,3.7946 -19735,6.8422,3.7946 -19736,7.2967,3.7946 -19737,6.5438,3.7578 -19738,6.9709,3.7578 -19739,5.1861,3.7578 -19740,,3.7238 -19741,6.0316,3.7238 -19742,10.4816,3.7238 -19743,6.16,3.7027 -19744,7.1715,3.7027 -19745,7.1778,3.7027 -19746,6.3987,3.6862 -19747,8.011,3.6862 -19748,6.3772,3.6862 -19749,5.4619,3.66 -19750,7.053,3.66 -19751,6.3826,3.66 -19752,5.5611,3.6341 -19753,6.5371,3.6341 -19754,6.0521,3.6341 -19755,5.7297,3.6233 -19756,5.8231,3.6233 -19757,7.4764,3.6233 -19758,5.5981,3.6296 -19759,8.523,3.6296 -19760,5.9679,3.6296 -19761,5.8144,3.6245 -19762,4.7702,3.6245 -19763,5.73,3.6245 -19764,6.1816,3.5835 -19765,5.188,3.5835 -19766,5.2323,3.5835 -19767,5.8438,3.5266 -19768,7.3773,3.5266 -19769,5.8084,3.5266 -19770,5.9389,3.4596 -19771,6.5398,3.4596 -19772,5.6458,3.4596 -19773,5.5158,3.3995 -19774,7.4469,3.3995 -19775,5.9615,3.3995 -19776,6.1469,3.3399 -19777,6.0113,3.3399 -19778,5.5138,3.3399 -19779,5.5574,3.2797 -19780,4.1348,3.2797 -19781,5.9697,3.2797 -19782,4.8651,3.2272 -19783,5.8068,3.2272 -19784,4.5886,3.2272 -19785,3.8008,3.1726 -19786,5.6511,3.1726 -19787,4.2725,3.1726 -19788,5.0257,3.1369 -19789,5.5158,3.1369 -19790,3.9183,3.1369 -19791,4.8079,3.1159 -19792,4.6747,3.1159 -19793,3.6735,3.1159 -19794,4.7738,3.0789 -19795,4.6789,3.0789 -19796,4.5127,3.0789 -19797,6.0221,3.0181 -19798,5.4353,3.0181 -19799,4.478,3.0181 -19800,4.7205,2.9663 -19801,4.9743,2.9663 -19802,4.8733,2.9663 -19803,4.9443,2.9343 -19804,5.4455,2.9343 -19805,4.5042,2.9343 -19806,4.4474,2.8899 -19807,4.5149,2.8899 -19808,4.6465,2.8899 -19809,3.81,2.8292 -19810,5.0564,2.8292 -19811,4.0291,2.8292 -19812,4.5537,2.7653 -19813,3.803,2.7653 -19814,4.5921,2.7653 -19815,4.5891,2.7015 -19816,5.1731,2.7015 -19817,4.1027,2.7015 -19818,4.2358,2.6582 -19819,4.3462,2.6582 -19820,3.9999,2.6582 -19821,3.6078,2.6268 -19822,3.4991,2.6268 -19823,5.1604,2.6268 -19824,4.5801,2.5795 -19825,5.6624,2.5795 -19826,4.4876,2.5795 -19827,4.4162,2.5316 -19828,4.8704,2.5316 -19829,4.0615,2.5316 -19830,4.8195,2.5058 -19831,4.2356,2.5058 -19832,5.1637,2.5058 -19833,4.0536,2.4741 -19834,4.2469,2.4741 -19835,6.0373,2.4741 -19836,4.4541,2.43 -19837,5.7772,2.43 -19838,5.7123,2.43 -19839,4.4135,2.4001 -19840,4.1638,2.4001 -19841,4.3424,2.4001 -19842,4.6069,2.3891 -19843,4.3209,2.3891 -19844,4.9332,2.3891 -19845,4.2374,2.3768 -19846,4.1554,2.3768 -19847,3.9362,2.3768 -19848,5.1569,2.3435 -19849,5.1637,2.3435 -19850,4.9932,2.3435 -19851,3.2222,2.3049 -19852,4.5852,2.3049 -19853,4.6295,2.3049 -19854,4.4487,2.2906 -19855,,2.2906 -19856,4.8967,2.2906 -19857,5.301,2.2946 -19858,8.972,2.2946 -19859,5.9716,2.2946 -19860,6.1223,2.3169 -19861,6.6069,2.3169 -19862,5.581,2.3169 -19863,6.045,2.375 -19864,8.7247,2.375 -19865,7.0976,2.375 -19866,7.653,2.4398 -19867,7.9033,2.4398 -19868,6.5643,2.4398 -19869,7.4199,2.5295 -19870,6.3505,2.5295 -19871,7.3339,2.5295 -19872,6.8864,2.6521 -19873,8.6746,2.6521 -19874,6.6149,2.6521 -19875,5.0471,2.7522 -19876,8.1027,2.7522 -19877,5.4661,2.7522 -19878,6.0077,2.8178 -19879,5.3659,2.8178 -19880,10.5709,2.8178 -19881,6.9453,2.8908 -19882,6.8817,2.8908 -19883,6.6156,2.8908 -19884,5.0857,2.9476 -19885,6.9467,2.9476 -19886,5.583,2.9476 -19887,6.9814,2.9898 -19888,5.768,2.9898 -19889,5.9158,2.9898 -19890,6.3219,3.0386 -19891,5.5734,3.0386 -19892,6.31,3.0386 -19893,6.3088,3.0957 -19894,5.6156,3.0957 -19895,8.0122,3.0957 -19896,7.8613,3.1636 -19897,7.6457,3.1636 -19898,6.0316,3.1636 -19899,5.6747,3.2235 -19900,6.5214,3.2235 -19901,6.4539,3.2235 -19902,6.1716,3.2865 -19903,6.2954,3.2865 -19904,7.3081,3.2865 -19905,6.1675,3.3631 -19906,6.2827,3.3631 -19907,6.8082,3.3631 -19908,9.0242,3.4352 -19909,8.4519,3.4352 -19910,6.532,3.4352 -19911,8.5866,3.4765 -19912,6.7188,3.4765 -19913,6.0967,3.4765 -19914,6.6311,3.483 -19915,6.6001,3.483 -19916,7.5378,3.483 -19917,7.0889,3.4516 -19918,4.8201,3.4516 -19919,6.4913,3.4516 -19920,5.9002,3.4192 -19921,6.9209,3.4192 -19922,6.9001,3.4192 -19923,6.4192,3.4292 -19924,5.9501,3.4292 -19925,6.3178,3.4292 -19926,6.8259,3.4521 -19927,5.859,3.4521 -19928,5.2351,3.4521 -19929,7.9657,3.4802 -19930,6.6698,3.4802 -19931,5.7333,3.4802 -19932,6.3925,3.5082 -19933,7.295,3.5082 -19934,8.4059,3.5082 -19935,7.1541,3.5256 -19936,6.6252,3.5256 -19937,8.4965,3.5256 -19938,5.77,3.5288 -19939,6.9626,3.5288 -19940,7.2475,3.5288 -19941,5.7678,3.5271 -19942,7.2339,3.5271 -19943,7.2121,3.5271 -19944,7.3912,3.5521 -19945,8.4753,3.5521 -19946,,3.5521 -19947,9.6439,3.5705 -19948,6.8983,3.5705 -19949,5.5799,3.5705 -19950,8.5713,3.5675 -19951,6.9904,3.5675 -19952,5.3215,3.5675 -19953,7.6156,3.586 -19954,8.0737,3.586 -19955,11.3922,3.586 -19956,6.7408,3.615 -19957,8.7369,3.615 -19958,7.2641,3.615 -19959,6.7525,3.6509 -19960,9.1593,3.6509 -19961,8.2703,3.6509 -19962,7.1243,3.7052 -19963,8.8193,3.7052 -19964,9.2327,3.7052 -19965,,3.768 -19966,14.1395,3.768 -19967,8.4905,3.768 -19968,8.7459,3.8399 -19969,10.3385,3.8399 -19970,8.7288,3.8399 -19971,8.8099,3.9353 -19972,11.2871,3.9353 -19973,10.9183,3.9353 -19974,9.5126,4.0372 -19975,12.2483,4.0372 -19976,9.0868,4.0372 -19977,9.3547,4.137 -19978,8.7238,4.137 -19979,12.315,4.137 -19980,9.3642,4.2525 -19981,8.8261,4.2525 -19982,9.2487,4.2525 -19983,7.3548,4.4078 -19984,8.545,4.4078 -19985,10.0111,4.4078 -19986,9.7917,4.5634 -19987,9.5753,4.5634 -19988,11.0876,4.5634 -19989,7.8906,4.7097 -19990,8.3035,4.7097 -19991,9.593,4.7097 -19992,9.5672,4.8619 -19993,11.6282,4.8619 -19994,7.9302,4.8619 -19995,11.6554,5.0243 -19996,8.3394,5.0243 -19997,7.9391,5.0243 -19998,9.443,5.1279 -19999,8.1622,5.1279 -20000,8.8423,5.1279 -20001,9.5481,5.1712 -20002,9.5188,5.1712 -20003,9.2998,5.1712 -20004,8.473,5.2242 -20005,8.5546,5.2242 -20006,9.4389,5.2242 -20007,9.0387,5.3057 -20008,10.4147,5.3057 -20009,9.5802,5.3057 -20010,10.5033,5.4032 -20011,8.5172,5.4032 -20012,10.4375,5.4032 -20013,9.3501,5.4623 -20014,8.3351,5.4623 -20015,11.8531,5.4623 -20016,7.935,5.4726 -20017,11.3178,5.4726 -20018,10.2141,5.4726 -20019,11.8567,5.4638 -20020,8.782,5.4638 -20021,9.3815,5.4638 -20022,9.9715,5.4593 -20023,8.1739,5.4593 -20024,9.1234,5.4593 -20025,9.5329,5.493 -20026,10.2714,5.493 -20027,9.8548,5.493 -20028,8.415,5.5387 -20029,9.371,5.5387 -20030,13.9492,5.5387 -20031,8.72,5.5508 -20032,10.8511,5.5508 -20033,11.897,5.5508 -20034,10.2112,5.539 -20035,10.4647,5.539 -20036,8.9782,5.539 -20037,8.7037,5.5273 -20038,9.0259,5.5273 -20039,14.2177,5.5273 -20040,8.5426,5.5455 -20041,10.7503,5.5455 -20042,10.0931,5.5455 -20043,11.0588,5.5835 -20044,11.0106,5.5835 -20045,9.8637,5.5835 -20046,10.3938,5.6726 -20047,9.2842,5.6726 -20048,10.228,5.6726 -20049,9.5035,5.7441 -20050,9.4507,5.7441 -20051,13.2552,5.7441 -20052,8.7737,5.7481 -20053,10.0095,5.7481 -20054,9.9047,5.7481 -20055,9.4861,5.7311 -20056,12.4622,5.7311 -20057,9.4385,5.7311 -20058,11.0419,5.755 -20059,9.4455,5.755 -20060,11.7847,5.755 -20061,10.5121,5.8481 -20062,11.8711,5.8481 -20063,10.0554,5.8481 -20064,11.5074,5.9295 -20065,9.6035,5.9295 -20066,8.6949,5.9295 -20067,8.8658,5.9763 -20068,12.3978,5.9763 -20069,10.0551,5.9763 -20070,9.5121,6.0075 -20071,13.802,6.0075 -20072,10.2791,6.0075 -20073,8.4732,5.9929 -20074,10.7175,5.9929 -20075,8.2325,5.9929 -20076,8.8867,5.9785 -20077,11.4838,5.9785 -20078,8.595,5.9785 -20079,8.6226,6.0078 -20080,12.371,6.0078 -20081,10.3003,6.0078 -20082,11.3334,6.0318 -20083,10.0874,6.0318 -20084,9.6613,6.0318 -20085,10.9175,6.0031 -20086,8.3835,6.0031 -20087,10.6382,6.0031 -20088,11.1995,5.9525 -20089,9.7104,5.9525 -20090,10.8171,5.9525 -20091,9.4569,5.8842 -20092,8.4105,5.8842 -20093,10.5081,5.8842 -20094,10.878,5.8155 -20095,10.6925,5.8155 -20096,9.5204,5.8155 -20097,,5.8018 -20098,9.7892,5.8018 -20099,11.0809,5.8018 -20100,16.9829,5.8467 -20101,,5.8467 -20102,11.355,5.8467 -20103,12.6934,5.8869 -20104,9.5847,5.8869 -20105,9.9417,5.8869 -20106,17.4786,5.874 -20107,10.4013,5.874 -20108,10.5922,5.874 -20109,12.1981,5.8447 -20110,11.8149,5.8447 -20111,16.934,5.8447 -20112,12.338,5.8719 -20113,10.9602,5.8719 -20114,10.3694,5.8719 -20115,13.8197,5.9133 -20116,12.4909,5.9133 -20117,11.0466,5.9133 -20118,12.2216,5.9529 -20119,10.6754,5.9529 -20120,11.6615,5.9529 -20121,8.7599,5.9959 -20122,11.9322,5.9959 -20123,11.5093,5.9959 -20124,13.3763,6.0335 -20125,10.8659,6.0335 -20126,11.8629,6.0335 -20127,11.099,6.0875 -20128,13.341,6.0875 -20129,11.5787,6.0875 -20130,12.2721,6.1696 -20131,13.2115,6.1696 -20132,14.0842,6.1696 -20133,10.5514,6.2596 -20134,11.4956,6.2596 -20135,18.5136,6.2596 -20136,11.9376,6.3552 -20137,12.3722,6.3552 -20138,14.286,6.3552 -20139,12.7429,6.4686 -20140,12.5905,6.4686 -20141,12.3732,6.4686 -20142,11.2079,6.5974 -20143,14.4968,6.5974 -20144,10.8598,6.5974 -20145,15.6227,6.6973 -20146,12.9737,6.6973 -20147,13.5415,6.6973 -20148,14.6459,6.7542 -20149,13.0417,6.7542 -20150,11.3154,6.7542 -20151,11.9741,6.795 -20152,12.2163,6.795 -20153,13.2477,6.795 -20154,12.9508,6.8626 -20155,11.1782,6.8626 -20156,12.2952,6.8626 -20157,11.6638,6.9571 -20158,11.3151,6.9571 -20159,10.7431,6.9571 -20160,12.0688,7.0365 -20161,17.6546,7.0365 -20162,11.934,7.0365 -20163,11.9054,7.1011 -20164,16.0715,7.1011 -20165,12.2468,7.1011 -20166,11.7472,7.1837 -20167,10.7562,7.1837 -20168,,7.1837 -20169,13.5991,7.2371 -20170,13.4111,7.2371 -20171,12.4198,7.2371 -20172,13.5724,7.2831 -20173,13.4996,7.2831 -20174,12.5152,7.2831 -20175,12.934,7.335 -20176,16.1779,7.335 -20177,13.0665,7.335 -20178,12.3954,7.3622 -20179,11.4374,7.3622 -20180,13.359,7.3622 -20181,13.3213,7.3861 -20182,12.9066,7.3861 -20183,12.1472,7.3861 -20184,11.8976,7.4062 -20185,11.8061,7.4062 -20186,12.9632,7.4062 -20187,12.5762,7.4058 -20188,10.7583,7.4058 -20189,12.8339,7.4058 -20190,12.8646,7.4042 -20191,14.6847,7.4042 -20192,,7.4042 -20193,13.6828,7.4248 -20194,12.8815,7.4248 -20195,11.5894,7.4248 -20196,14.81,7.4515 -20197,11.5427,7.4515 -20198,13.0791,7.4515 -20199,11.4906,7.4632 -20200,11.3851,7.4632 -20201,12.8775,7.4632 -20202,15.2772,7.4248 -20203,11.3876,7.4248 -20204,12.3037,7.4248 -20205,11.2415,7.3733 -20206,12.9698,7.3733 -20207,14.0859,7.3733 -20208,12.2425,7.343 -20209,10.9604,7.343 -20210,14.2369,7.343 -20211,,7.3113 -20212,11.718,7.3113 -20213,9.5799,7.3113 -20214,10.1319,7.2926 -20215,10.0693,7.2926 -20216,11.3621,7.2926 -20217,12.0646,7.2612 -20218,11.5441,7.2612 -20219,10.5383,7.2612 -20220,8.6844,7.1925 -20221,12.8428,7.1925 -20222,11.115,7.1925 -20223,13.1734,7.1343 -20224,10.3744,7.1343 -20225,11.8551,7.1343 -20226,12.6036,7.0872 -20227,12.4687,7.0872 -20228,11.2756,7.0872 -20229,12.0269,7.0901 -20230,11.3014,7.0901 -20231,14.4508,7.0901 -20232,11.3608,7.1254 -20233,11.9603,7.1254 -20234,,7.1254 -20235,11.111,7.1301 -20236,12.2469,7.1301 -20237,11.6879,7.1301 -20238,10.7395,7.1047 -20239,14.3797,7.1047 -20240,12.7653,7.1047 -20241,13.0339,7.1015 -20242,12.2944,7.1015 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-24491,13.0075,10.1162 -24492,13.7268,10.143 -24493,12.5051,10.143 -24494,12.723,10.143 -24495,12.7976,10.1437 -24496,12.431,10.1437 -24497,14.5472,10.1437 -24498,11.5729,10.1742 -24499,11.7896,10.1742 -24500,12.6482,10.1742 -24501,12.1037,10.2186 -24502,15.9189,10.2186 -24503,13.6051,10.2186 -24504,11.0809,10.2544 -24505,13.0287,10.2544 -24506,13.5793,10.2544 -24507,12.7944,10.2924 -24508,14.9017,10.2924 -24509,11.2423,10.2924 -24510,12.1825,10.3391 -24511,13.4042,10.3391 -24512,12.3525,10.3391 -24513,12.9331,10.3895 -24514,11.9447,10.3895 -24515,,10.3895 -24516,13.5332,10.4197 -24517,13.2432,10.4197 -24518,11.2176,10.4197 -24519,11.4796,10.4183 -24520,11.2458,10.4183 -24521,12.6253,10.4183 -24522,12.1824,10.4209 -24523,12.2553,10.4209 -24524,11.9672,10.4209 -24525,9.7855,10.4262 -24526,10.0503,10.4262 -24527,10.9912,10.4262 -24528,12.555,10.4308 -24529,15.0495,10.4308 -24530,13.7224,10.4308 -24531,14.8191,10.4365 -24532,13.2909,10.4365 -24533,16.1927,10.4365 -24534,,10.4268 -24535,15.3404,10.4268 -24536,17.5269,10.4268 -24537,13.5383,10.4154 -24538,16.776,10.4154 -24539,13.8593,10.4154 -24540,13.9401,10.4265 -24541,12.6039,10.4265 -24542,11.9882,10.4265 -24543,11.7168,10.4329 -24544,11.5808,10.4329 -24545,11.8504,10.4329 -24546,11.8,10.4288 -24547,13.0051,10.4288 -24548,12.8793,10.4288 -24549,12.0865,10.4064 -24550,12.1117,10.4064 -24551,12.9528,10.4064 -24552,13.1744,10.3766 -24553,13.9132,10.3766 -24554,12.8717,10.3766 -24555,14.4862,10.334 -24556,11.5935,10.334 -24557,13.0493,10.334 -24558,11.5888,10.2786 -24559,13.184,10.2786 -24560,,10.2786 -24561,13.9268,10.2237 -24562,15.0163,10.2237 -24563,11.9853,10.2237 -24564,14.5051,10.2083 -24565,12.4296,10.2083 -24566,13.604,10.2083 -24567,14.3795,10.2109 -24568,12.843,10.2109 -24569,15.2183,10.2109 -24570,15.114,10.2038 -24571,13.3193,10.2038 -24572,13.0088,10.2038 -24573,14.7141,10.2018 -24574,12.826,10.2018 -24575,13.1146,10.2018 -24576,12.4799,10.2007 -24577,12.7346,10.2007 -24578,12.6385,10.2007 -24579,11.0813,10.186 -24580,11.4819,10.186 -24581,12.9963,10.186 -24582,12.5053,10.1606 -24583,12.6847,10.1606 -24584,14.3295,10.1606 -24585,13.954,10.1277 -24586,12.5188,10.1277 -24587,13.4642,10.1277 -24588,13.143,10.1007 -24589,11.8516,10.1007 -24590,12.955,10.1007 -24591,14.1013,10.0888 -24592,11.8146,10.0888 -24593,12.825,10.0888 -24594,12.572,10.1026 -24595,14.9473,10.1026 -24596,13.0318,10.1026 -24597,12.7375,10.1327 -24598,13.5153,10.1327 -24599,10.6453,10.1327 -24600,13.0677,10.1437 -24601,11.4033,10.1437 -24602,12.5186,10.1437 -24603,12.1092,10.1232 -24604,10.7453,10.1232 -24605,13.6586,10.1232 -24606,10.1536,10.0842 -24607,10.8281,10.0842 -24608,11.3844,10.0842 -24609,10.9285,10.0321 -24610,12.4211,10.0321 -24611,10.8454,10.0321 -24612,11.4997,9.9786 -24613,12.5596,9.9786 -24614,11.9982,9.9786 -24615,11.8771,9.9228 -24616,12.0162,9.9228 -24617,8.868,9.9228 -24618,11.3964,9.8665 -24619,8.5914,9.8665 -24620,11.5724,9.8665 -24621,11.1225,9.8172 -24622,11.2138,9.8172 -24623,10.2099,9.8172 -24624,9.8667,9.7749 -24625,11.1744,9.7749 -24626,12.3479,9.7749 -24627,11.3125,9.7468 -24628,12.7602,9.7468 -24629,11.3897,9.7468 -24630,10.7263,9.716 -24631,10.4027,9.716 -24632,12.8459,9.716 -24633,9.3145,9.6985 -24634,11.6544,9.6985 -24635,10.5934,9.6985 -24636,11.0044,9.6812 -24637,11.5541,9.6812 -24638,11.6026,9.6812 -24639,12.3729,9.6344 -24640,10.7903,9.6344 -24641,11.6194,9.6344 -24642,12.2359,9.5441 -24643,11.7543,9.5441 -24644,12.7444,9.5441 -24645,13.7949,9.4647 -24646,12.9999,9.4647 -24647,13.0822,9.4647 -24648,,9.4409 -24649,11.7748,9.4409 -24650,11.0294,9.4409 -24651,12.4563,9.4603 -24652,11.511,9.4603 -24653,12.7984,9.4603 -24654,12.7559,9.482 -24655,11.3902,9.482 -24656,11.2395,9.482 -24657,11.5287,9.4932 -24658,12.3764,9.4932 -24659,11.7569,9.4932 -24660,11.1184,9.4802 -24661,11.5166,9.4802 -24662,10.1779,9.4802 -24663,12.865,9.4557 -24664,11.1258,9.4557 -24665,11.7921,9.4557 -24666,12.7914,9.4296 -24667,10.996,9.4296 -24668,12.5098,9.4296 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-24715,13.6796,9.6067 -24716,12.5004,9.6067 -24717,13.7693,9.6403 -24718,13.6202,9.6403 -24719,12.6744,9.6403 -24720,13.729,9.6783 -24721,12.504,9.6783 -24722,10.9338,9.6783 -24723,11.1488,9.7187 -24724,13.3055,9.7187 -24725,14.2369,9.7187 -24726,12.6898,9.733 -24727,12.8223,9.733 -24728,12.9502,9.733 -24729,11.6616,9.7378 -24730,12.9123,9.7378 -24731,13.1683,9.7378 -24732,13.3227,9.7318 -24733,12.1463,9.7318 -24734,13.021,9.7318 -24735,13.0327,9.7503 -24736,14.0998,9.7503 -24737,11.2829,9.7503 -24738,14.1889,9.7911 -24739,14.5746,9.7911 -24740,12.5379,9.7911 -24741,12.4986,9.8525 -24742,13.8943,9.8525 -24743,11.5381,9.8525 -24744,14.2916,9.9377 -24745,13.49,9.9377 -24746,13.5634,9.9377 -24747,15.0815,10.0236 -24748,11.7245,10.0236 -24749,16.2136,10.0236 -24750,15.3125,10.0953 -24751,15.2769,10.0953 -24752,14.2433,10.0953 -24753,12.528,10.178 -24754,13.6832,10.178 -24755,15.0093,10.178 -24756,14.2102,10.2563 -24757,14.2364,10.2563 -24758,11.8228,10.2563 -24759,13.7942,10.287 -24760,12.2316,10.287 -24761,11.9522,10.287 -24762,15.8841,10.3125 -24763,16.4576,10.3125 -24764,14.2758,10.3125 -24765,16.4015,10.3329 -24766,14.0086,10.3329 -24767,12.6246,10.3329 -24768,12.7347,10.3326 -24769,12.2485,10.3326 -24770,15.0286,10.3326 -24771,13.6523,10.3269 -24772,13.7214,10.3269 -24773,13.6928,10.3269 -24774,9.962,10.3457 -24775,11.9541,10.3457 -24776,11.3212,10.3457 -24777,13.1389,10.3588 -24778,11.3415,10.3588 -24779,13.5505,10.3588 -24780,12.9287,10.3584 -24781,12.7421,10.3584 -24782,13.1674,10.3584 -24783,12.8819,10.3752 -24784,12.4302,10.3752 -24785,14.0642,10.3752 -24786,14.2941,10.3978 -24787,12.4185,10.3978 -24788,11.5034,10.3978 -24789,11.8041,10.4043 -24790,14.8603,10.4043 -24791,14.4003,10.4043 -24792,10.9188,10.3989 -24793,13.9479,10.3989 -24794,12.7984,10.3989 -24795,12.8954,10.3883 -24796,14.2061,10.3883 -24797,13.0008,10.3883 -24798,9.6342,10.4008 -24799,12.6459,10.4008 -24800,11.9299,10.4008 -24801,13.6269,10.416 -24802,13.1856,10.416 -24803,8.4391,10.416 -24804,14.7103,10.4176 -24805,13.204,10.4176 -24806,10.4035,10.4176 -24807,14.8592,10.4303 -24808,15.2044,10.4303 -24809,11.6766,10.4303 -24810,13.1395,10.4412 -24811,12.0953,10.4412 -24812,12.2564,10.4412 -24813,14.3529,10.4676 -24814,13.0205,10.4676 -24815,13.1165,10.4676 -24816,11.8981,10.5093 -24817,14.5626,10.5093 -24818,12.3723,10.5093 -24819,13.2732,10.5442 -24820,15.8007,10.5442 -24821,12.646,10.5442 -24822,15.6995,10.5598 -24823,12.622,10.5598 -24824,12.8131,10.5598 -24825,13.4771,10.5834 -24826,13.1516,10.5834 -24827,15.3987,10.5834 -24828,15.1003,10.6075 -24829,13.9181,10.6075 -24830,15.0099,10.6075 -24831,14.4547,10.6382 -24832,17.133,10.6382 -24833,13.544,10.6382 -24834,13.9175,10.6689 -24835,13.9605,10.6689 -24836,13.6812,10.6689 -24837,16.8895,10.6821 -24838,14.258,10.6821 -24839,12.4855,10.6821 -24840,15.3508,10.7057 -24841,13.5179,10.7057 -24842,13.7324,10.7057 -24843,10.961,10.7316 -24844,12.2114,10.7316 -24845,14.3653,10.7316 -24846,12.8541,10.7355 -24847,11.1234,10.7355 -24848,13.7368,10.7355 -24849,13.8504,10.7522 -24850,14.6559,10.7522 -24851,14.2512,10.7522 -24852,14.6464,10.7867 -24853,14.0484,10.7867 -24854,14.7949,10.7867 -24855,9.0704,10.8109 -24856,14.8887,10.8109 -24857,13.7646,10.8109 -24858,12.9882,10.8261 -24859,13.7479,10.8261 -24860,12.8138,10.8261 -24861,13.3494,10.8228 -24862,16.3717,10.8228 -24863,16.1053,10.8228 -24864,13.7812,10.8286 -24865,12.6196,10.8286 -24866,15.5635,10.8286 -24867,15.7928,10.8579 -24868,12.4902,10.8579 -24869,15.9788,10.8579 -24870,12.8577,10.8854 -24871,,10.8854 -24872,11.4133,10.8854 -24873,13.4664,10.8824 -24874,12.163,10.8824 -24875,14.7576,10.8824 -24876,14.7288,10.8368 -24877,13.7379,10.8368 -24878,13.8861,10.8368 -24879,11.8961,10.7939 -24880,11.2091,10.7939 -24881,14.1126,10.7939 -24882,15.1806,10.8035 -24883,12.8247,10.8035 -24884,14.6739,10.8035 -24885,14.1061,10.8252 -24886,14.2388,10.8252 -24887,15.608,10.8252 -24888,13.2465,10.8169 -24889,13.7684,10.8169 -24890,15.9006,10.8169 -24891,13.9614,10.7935 -24892,13.6913,10.7935 -24893,14.2427,10.7935 -24894,15.2094,10.7458 -24895,16.4204,10.7458 -24896,13.0246,10.7458 -24897,13.4199,10.6974 -24898,12.6413,10.6974 -24899,12.528,10.6974 -24900,12.8633,10.678 -24901,12.59,10.678 -24902,12.449,10.678 -24903,15.7819,10.6709 -24904,12.7458,10.6709 -24905,8.6886,10.6709 -24906,11.3485,10.6725 -24907,14.4694,10.6725 -24908,13.5697,10.6725 -24909,11.8379,10.6669 -24910,13.2297,10.6669 -24911,12.3389,10.6669 -24912,12.8572,10.6131 -24913,10.3776,10.6131 -24914,14.8751,10.6131 -24915,11.1093,10.5243 -24916,13.3617,10.5243 -24917,13.5814,10.5243 -24918,11.58,10.4677 -24919,14.8767,10.4677 -24920,14.4914,10.4677 -24921,13.0801,10.4596 -24922,12.138,10.4596 -24923,12.7887,10.4596 -24924,12.5673,10.4924 -24925,13.4972,10.4924 -24926,15.4873,10.4924 -24927,13.2215,10.5148 -24928,9.1642,10.5148 -24929,10.1901,10.5148 -24930,11.7175,10.518 -24931,12.4244,10.518 -24932,12.2225,10.518 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-28732,4.6788,2.6321 -28733,4.6847,2.6321 -28734,3.9047,2.6044 -28735,4.3275,2.6044 -28736,4.6487,2.6044 -28737,3.7483,2.604 -28738,4.374,2.604 -28739,4.4272,2.604 -28740,3.7258,2.6448 -28741,3.9473,2.6448 -28742,3.8587,2.6448 -28743,3.8764,2.6717 -28744,4.0004,2.6717 -28745,4.7605,2.6717 -28746,4.4204,2.6872 -28747,3.8034,2.6872 -28748,,2.6872 -28749,3.4749,2.693 -28750,3.6331,2.693 -28751,3.9164,2.693 -28752,4.1033,2.6759 -28753,3.5027,2.6759 -28754,4.3801,2.6759 -28755,4.0484,2.6582 -28756,3.4759,2.6582 -28757,3.2464,2.6582 -28758,4.0471,2.6616 -28759,3.754,2.6616 -28760,3.0569,2.6616 -28761,4.3224,2.6947 -28762,3.3579,2.6947 -28763,2.9502,2.6947 -28764,2.373,2.7369 -28765,3.9343,2.7369 -28766,3.6511,2.7369 -28767,3.649,2.7618 -28768,4.1868,2.7618 -28769,,2.7618 -28770,3.5758,2.773 -28771,3.3132,2.773 -28772,2.2062,2.773 -28773,2.2969,2.78 -28774,2.9883,2.78 -28775,3.717,2.78 -28776,2.5971,2.7561 -28777,3.2953,2.7561 -28778,3.587,2.7561 -28779,2.7496,2.7158 -28780,2.2548,2.7158 -28781,2.6024,2.7158 -28782,3.541,2.6728 -28783,2.4622,2.6728 -28784,3.4649,2.6728 -28785,3.3356,2.5998 -28786,3.469,2.5998 -28787,2.9182,2.5998 -28788,4.1282,2.5314 -28789,3.6605,2.5314 -28790,2.9846,2.5314 -28791,,2.4899 -28792,4.2464,2.4899 -28793,3.6735,2.4899 -28794,3.8661,2.4512 -28795,3.985,2.4512 -28796,4.4604,2.4512 -28797,3.9075,2.4171 -28798,3.064,2.4171 -28799,4.4618,2.4171 -28800,3.8941,2.4168 -28801,3.0739,2.4168 -28802,3.4827,2.4168 -28803,4.0946,2.4359 -28804,3.9335,2.4359 -28805,4.143,2.4359 -28806,4.5864,2.4428 -28807,3.4417,2.4428 -28808,4.2486,2.4428 -28809,4.4096,2.4321 -28810,3.536,2.4321 -28811,4.1016,2.4321 -28812,4.428,2.4239 -28813,3.5882,2.4239 -28814,4.3509,2.4239 -28815,3.9068,2.4347 -28816,4.1725,2.4347 -28817,4.555,2.4347 -28818,4.2314,2.4598 -28819,5.6047,2.4598 -28820,4.542,2.4598 -28821,4.5035,2.4783 -28822,3.4699,2.4783 -28823,4.6271,2.4783 -28824,4.4067,2.5023 -28825,4.0385,2.5023 -28826,3.8422,2.5023 -28827,2.6905,2.5222 -28828,,2.5222 -28829,3.4695,2.5222 -28830,2.731,2.5375 -28831,3.2015,2.5375 -28832,3.1608,2.5375 -28833,3.3934,2.5554 -28834,3.1955,2.5554 -28835,3.4782,2.5554 -28836,3.3667,2.5691 -28837,2.1841,2.5691 -28838,3.375,2.5691 -28839,2.7643,2.5783 -28840,3.6856,2.5783 -28841,3.3453,2.5783 -28842,3.4386,2.5799 -28843,3.7397,2.5799 -28844,2.5157,2.5799 -28845,4.241,2.5699 -28846,2.8212,2.5699 -28847,3.2512,2.5699 -28848,2.9465,2.5389 -28849,3.8936,2.5389 -28850,3.4473,2.5389 -28851,2.8904,2.4984 -28852,3.5392,2.4984 -28853,3.4585,2.4984 -28854,2.8147,2.4645 -28855,3.4631,2.4645 -28856,4.6828,2.4645 -28857,3.8628,2.4281 -28858,3.455,2.4281 -28859,,2.4281 -28860,,2.3898 -28861,2.5439,2.3898 -28862,2.2104,2.3898 -28863,3.9807,2.3365 -28864,3.0335,2.3365 -28865,2.5364,2.3365 -28866,4.0509,2.2655 -28867,3.109,2.2655 -28868,2.3617,2.2655 -28869,2.6256,2.2095 -28870,2.4321,2.2095 -28871,3.4748,2.2095 -28872,2.7485,2.1688 -28873,3.1102,2.1688 -28874,3.0371,2.1688 -28875,2.639,2.1363 -28876,3.1075,2.1363 -28877,3.1164,2.1363 -28878,2.6211,2.1052 -28879,3.1256,2.1052 -28880,2.1877,2.1052 -28881,3.1771,2.0772 -28882,2.0817,2.0772 -28883,,2.0772 -28884,3.0197,2.0448 -28885,2.7571,2.0448 -28886,1.9414,2.0448 -28887,1.9593,2.0234 -28888,2.5967,2.0234 -28889,2.2999,2.0234 -28890,2.6881,2.0013 -28891,2.3318,2.0013 -28892,2.0732,2.0013 -28893,2.9761,1.9697 -28894,1.997,1.9697 -28895,2.6019,1.9697 -28896,2.311,1.955 -28897,2.3425,1.955 -28898,1.8529,1.955 -28899,2.7607,1.9441 -28900,2.2978,1.9441 -28901,3.74,1.9441 -28902,2.9106,1.9398 -28903,3.192,1.9398 -28904,2.8964,1.9398 -28905,3.6971,1.9557 -28906,3.8119,1.9557 -28907,4.794,1.9557 -28908,3.2393,1.9755 -28909,4.2431,1.9755 -28910,4.0447,1.9755 -28911,3.4826,2.006 -28912,3.7618,2.006 -28913,3.6021,2.006 -28914,4.1936,2.0592 -28915,3.4883,2.0592 -28916,2.8022,2.0592 -28917,5.2653,2.1159 -28918,3.7462,2.1159 -28919,4.1387,2.1159 -28920,3.9486,2.1661 -28921,5.4197,2.1661 -28922,3.3821,2.1661 -28923,3.7184,2.2246 -28924,3.8882,2.2246 -28925,4.1334,2.2246 -28926,3.9474,2.2706 -28927,3.9631,2.2706 -28928,,2.2706 -28929,4.0067,2.3011 -28930,4.4583,2.3011 -28931,3.906,2.3011 -28932,4.0642,2.3379 -28933,4.4231,2.3379 -28934,2.0709,2.3379 -28935,4.3966,2.3907 -28936,4.4263,2.3907 -28937,3.4621,2.3907 -28938,4.3791,2.4552 -28939,4.7985,2.4552 -28940,4.1453,2.4552 -28941,4.182,2.5167 -28942,4.3591,2.5167 -28943,5.366,2.5167 -28944,3.5747,2.5641 -28945,5.1456,2.5641 -28946,4.4823,2.5641 -28947,3.3505,2.6008 -28948,3.5669,2.6008 -28949,5.6821,2.6008 -28950,4.0617,2.6177 -28951,4.4324,2.6177 -28952,3.5128,2.6177 -28953,4.0663,2.6267 -28954,3.8543,2.6267 -28955,3.8067,2.6267 -28956,3.6412,2.6362 -28957,4.887,2.6362 -28958,2.6348,2.6362 -28959,4.5811,2.6436 -28960,4.2589,2.6436 -28961,4.217,2.6436 -28962,3.8006,2.6646 -28963,4.6969,2.6646 -28964,4.3041,2.6646 -28965,4.4471,2.6986 -28966,4.5409,2.6986 -28967,4.1526,2.6986 -28968,3.7101,2.7251 -28969,3.9744,2.7251 -28970,4.3023,2.7251 -28971,3.8907,2.7313 -28972,4.0403,2.7313 -28973,6.3086,2.7313 -28974,3.8499,2.7416 -28975,4.0086,2.7416 -28976,3.7889,2.7416 -28977,3.8088,2.7536 -28978,3.6989,2.7536 -28979,2.6156,2.7536 -28980,3.4228,2.7497 -28981,3.7076,2.7497 -28982,3.5198,2.7497 -28983,5.4187,2.7347 -28984,3.609,2.7347 -28985,4.0483,2.7347 -28986,4.2188,2.7258 -28987,3.7421,2.7258 -28988,5.5858,2.7258 -28989,3.8569,2.7189 -28990,3.8382,2.7189 -28991,4.3044,2.7189 -28992,4.7,2.7082 -28993,4.7727,2.7082 -28994,4.924,2.7082 -28995,5.7615,2.7077 -28996,4.7964,2.7077 -28997,5.1191,2.7077 -28998,5.0999,2.7211 -28999,4.8645,2.7211 -29000,3.0222,2.7211 -29001,3.9917,2.7472 -29002,3.5397,2.7472 -29003,4.0672,2.7472 -29004,4.9996,2.762 -29005,3.9984,2.762 -29006,4.8494,2.762 -29007,3.5056,2.7535 -29008,4.9055,2.7535 -29009,5.0579,2.7535 -29010,3.4634,2.74 -29011,5.393,2.74 -29012,4.5868,2.74 -29013,5.1397,2.7356 -29014,3.8558,2.7356 -29015,5.4386,2.7356 -29016,5.1716,2.7542 -29017,4.7116,2.7542 -29018,4.4654,2.7542 -29019,4.064,2.8099 -29020,5.7722,2.8099 -29021,6.2647,2.8099 -29022,5.1178,2.8707 -29023,6.6573,2.8707 -29024,5.1555,2.8707 -29025,5.9064,2.9193 -29026,6.247,2.9193 -29027,6.1649,2.9193 -29028,4.7778,2.9795 -29029,6.8723,2.9795 -29030,5.2587,2.9795 -29031,5.2974,3.0447 -29032,5.6984,3.0447 -29033,5.8208,3.0447 -29034,4.2232,3.1011 -29035,5.5088,3.1011 -29036,6.2393,3.1011 -29037,5.8244,3.1565 -29038,6.146,3.1565 -29039,5.0644,3.1565 -29040,5.5111,3.2152 -29041,4.3496,3.2152 -29042,5.5454,3.2152 -29043,4.8198,3.2722 -29044,5.0537,3.2722 -29045,5.1686,3.2722 -29046,3.4601,3.3159 -29047,5.0566,3.3159 -29048,4.5815,3.3159 -29049,5.086,3.3572 -29050,5.3998,3.3572 -29051,6.1222,3.3572 -29052,4.987,3.3989 -29053,6.0036,3.3989 -29054,4.328,3.3989 -29055,4.399,3.4275 -29056,4.6731,3.4275 -29057,4.8845,3.4275 -29058,4.4863,3.4352 -29059,6.4601,3.4352 -29060,3.9667,3.4352 -29061,5.427,3.447 -29062,6.8452,3.447 -29063,5.7652,3.447 -29064,5.5269,3.459 -29065,4.5656,3.459 -29066,3.0944,3.459 -29067,4.7438,3.4626 -29068,4.1527,3.4626 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-29117,6.1769,3.9257 -29118,6.2887,4.0047 -29119,6.9796,4.0047 -29120,7.1867,4.0047 -29121,5.8844,4.0717 -29122,6.0244,4.0717 -29123,5.1109,4.0717 -29124,6.9288,4.1223 -29125,,4.1223 -29126,6.2314,4.1223 -29127,5.0406,4.1704 -29128,6.6422,4.1704 -29129,6.406,4.1704 -29130,4.8322,4.2217 -29131,6.3285,4.2217 -29132,6.0849,4.2217 -29133,6.9841,4.2578 -29134,6.9044,4.2578 -29135,6.5682,4.2578 -29136,7.5902,4.2736 -29137,6.0021,4.2736 -29138,5.8899,4.2736 -29139,6.2057,4.2701 -29140,5.2452,4.2701 -29141,6.1726,4.2701 -29142,6.3547,4.2624 -29143,5.3052,4.2624 -29144,6.072,4.2624 -29145,4.5701,4.2644 -29146,7.3565,4.2644 -29147,6.579,4.2644 -29148,6.2514,4.2744 -29149,6.5893,4.2744 -29150,5.2438,4.2744 -29151,6.2618,4.2888 -29152,7.6907,4.2888 -29153,5.7481,4.2888 -29154,6.1818,4.2875 -29155,6.4705,4.2875 -29156,5.4301,4.2875 -29157,6.3174,4.2742 -29158,7.5941,4.2742 -29159,4.8499,4.2742 -29160,5.8017,4.2481 -29161,5.2102,4.2481 -29162,6.8366,4.2481 -29163,5.9607,4.2207 -29164,7.6705,4.2207 -29165,,4.2207 -29166,4.4972,4.1837 -29167,,4.1837 -29168,6.2623,4.1837 -29169,6.0536,4.1549 -29170,6.409,4.1549 -29171,4.8182,4.1549 -29172,6.0134,4.1451 -29173,6.1368,4.1451 -29174,6.8429,4.1451 -29175,,4.1426 -29176,5.4391,4.1426 -29177,6.8977,4.1426 -29178,6.3551,4.1348 -29179,5.7673,4.1348 -29180,4.9058,4.1348 -29181,7.0454,4.1417 -29182,6.0925,4.1417 -29183,6.7434,4.1417 -29184,7.3026,4.1495 -29185,5.2462,4.1495 -29186,6.6609,4.1495 -29187,6.1854,4.1471 -29188,5.9384,4.1471 -29189,7.0036,4.1471 -29190,8.1256,4.1382 -29191,5.5048,4.1382 -29192,6.36,4.1382 -29193,6.5699,4.1231 -29194,5.4725,4.1231 -29195,6.6519,4.1231 -29196,7.5915,4.0965 -29197,5.9329,4.0965 -29198,6.6036,4.0965 -29199,7.3451,4.0626 -29200,5.3495,4.0626 -29201,6.8438,4.0626 -29202,5.4591,4.0356 -29203,7.1624,4.0356 -29204,7.135,4.0356 -29205,6.6733,4.0167 -29206,7.9128,4.0167 -29207,5.3039,4.0167 -29208,6.1356,4.0173 -29209,,4.0173 -29210,4.6651,4.0173 -29211,6.1017,4.0162 -29212,4.6865,4.0162 -29213,7.0945,4.0162 -29214,5.4282,4.0054 -29215,5.9878,4.0054 -29216,6.9407,4.0054 -29217,4.3155,3.9913 -29218,5.3349,3.9913 -29219,5.3882,3.9913 -29220,4.3214,3.9728 -29221,6.2598,3.9728 -29222,6.2106,3.9728 -29223,6.6577,3.9473 -29224,6.2472,3.9473 -29225,6.8084,3.9473 -29226,8.0545,3.9116 -29227,6.7743,3.9116 -29228,4.8446,3.9116 -29229,,3.8668 -29230,6.4233,3.8668 -29231,4.9963,3.8668 -29232,7.2333,3.8357 -29233,5.8748,3.8357 -29234,4.7501,3.8357 -29235,5.2552,3.8145 -29236,4.6636,3.8145 -29237,5.561,3.8145 -29238,6.6687,3.7779 -29239,6.8671,3.7779 -29240,5.9819,3.7779 -29241,6.2873,3.7468 -29242,6.64,3.7468 -29243,5.7033,3.7468 -29244,5.7801,3.7447 -29245,6.9861,3.7447 -29246,7.2574,3.7447 -29247,6.7076,3.7612 -29248,6.6435,3.7612 -29249,4.9014,3.7612 -29250,7.1643,3.7865 -29251,7.0527,3.7865 -29252,6.4258,3.7865 -29253,7.4016,3.8083 -29254,6.9768,3.8083 -29255,5.3176,3.8083 -29256,6.4254,3.8246 -29257,7.4699,3.8246 -29258,5.5643,3.8246 -29259,8.2086,3.854 -29260,6.3788,3.854 -29261,8.1204,3.854 -29262,6.0475,3.8921 -29263,6.3851,3.8921 -29264,8.7899,3.8921 -29265,6.0275,3.9348 -29266,7.1491,3.9348 -29267,7.1472,3.9348 -29268,7.5372,3.9939 -29269,7.8843,3.9939 -29270,6.357,3.9939 -29271,6.9453,4.0602 -29272,5.3848,4.0602 -29273,6.8144,4.0602 -29274,7.7261,4.1233 -29275,6.1887,4.1233 -29276,,4.1233 -29277,8.1611,4.1904 -29278,7.1246,4.1904 -29279,5.5379,4.1904 -29280,8.2821,4.246 -29281,7.0239,4.246 -29282,6.9646,4.246 -29283,8.2979,4.2946 -29284,5.883,4.2946 -29285,7.2261,4.2946 -29286,8.6676,4.3572 -29287,5.3188,4.3572 -29288,7.1119,4.3572 -29289,7.7101,4.4281 -29290,5.998,4.4281 -29291,8.0188,4.4281 -29292,8.5145,4.4958 -29293,8.3385,4.4958 -29294,6.1467,4.4958 -29295,7.5104,4.5424 -29296,,4.5424 -29297,7.4132,4.5424 -29298,,4.5664 -29299,6.0792,4.5664 -29300,7.7884,4.5664 -29301,6.1668,4.5718 -29302,7.8903,4.5718 -29303,6.1977,4.5718 -29304,8.1452,4.5638 -29305,6.7132,4.5638 -29306,5.4224,4.5638 -29307,7.6267,4.5666 -29308,6.6529,4.5666 -29309,5.6909,4.5666 -29310,6.7242,4.565 -29311,5.9378,4.565 -29312,7.6516,4.565 -29313,5.4185,4.525 -29314,7.1907,4.525 -29315,6.4865,4.525 -29316,5.8345,4.4688 -29317,5.6507,4.4688 -29318,7.4425,4.4688 -29319,5.5515,4.4268 -29320,6.3824,4.4268 -29321,7.0384,4.4268 -29322,6.4529,4.3831 -29323,6.0453,4.3831 -29324,7.6119,4.3831 -29325,5.32,4.3487 -29326,6.8598,4.3487 -29327,7.6969,4.3487 -29328,7.6469,4.3369 -29329,6.9812,4.3369 -29330,6.5768,4.3369 -29331,7.8337,4.319 -29332,8.9404,4.319 -29333,5.8135,4.319 -29334,7.3613,4.281 -29335,5.0935,4.281 -29336,7.7484,4.281 -29337,5.9518,4.2205 -29338,6.9258,4.2205 -29339,6.9463,4.2205 -29340,5.1676,4.1642 -29341,7.8208,4.1642 -29342,7.2178,4.1642 -29343,5.6174,4.1269 -29344,8.2421,4.1269 -29345,6.5706,4.1269 -29346,7.4627,4.1038 -29347,7.4189,4.1038 -29348,5.6012,4.1038 -29349,6.8883,4.0956 -29350,7.6741,4.0956 -29351,5.272,4.0956 -29352,6.7477,4.0958 -29353,7.7898,4.0958 -29354,5.3403,4.0958 -29355,6.7324,4.0922 -29356,7.515,4.0922 -29357,5.7787,4.0922 -29358,7.752,4.0981 -29359,5.9112,4.0981 -29360,8.1662,4.0981 -29361,6.6687,4.1371 -29362,8.4763,4.1371 -29363,7.4589,4.1371 -29364,5.3993,4.1699 -29365,7.1599,4.1699 -29366,7.9135,4.1699 -29367,7.9375,4.1936 -29368,7.9817,4.1936 -29369,6.4476,4.1936 -29370,7.7731,4.2245 -29371,5.0601,4.2245 -29372,7.4847,4.2245 -29373,6.2743,4.2351 -29374,5.3924,4.2351 -29375,6.82,4.2351 -29376,6.8932,4.2339 -29377,6.4492,4.2339 -29378,5.7864,4.2339 -29379,7.1507,4.2365 -29380,6.2415,4.2365 -29381,7.5348,4.2365 -29382,6.1216,4.2271 -29383,4.5772,4.2271 -29384,4.8296,4.2271 -29385,6.0041,4.2101 -29386,,4.2101 -29387,6.3887,4.2101 -29388,5.7012,4.1858 -29389,4.8263,4.1858 -29390,6.4608,4.1858 -29391,6.452,4.145 -29392,5.5161,4.145 -29393,5.2313,4.145 -29394,4.5924,4.1051 -29395,4.4922,4.1051 -29396,6.4426,4.1051 -29397,5.1308,4.0591 -29398,5.086,4.0591 -29399,5.8039,4.0591 -29400,4.3267,3.9933 -29401,6.8334,3.9933 -29402,5.6592,3.9933 -29403,6.7125,3.9217 -29404,6.0393,3.9217 -29405,4.1204,3.9217 -29406,5.3519,3.8382 -29407,6.6647,3.8382 -29408,4.3743,3.8382 -29409,6.8203,3.752 -29410,4.7178,3.752 -29411,6.19,3.752 -29412,4.6809,3.6939 -29413,5.1598,3.6939 -29414,5.9565,3.6939 -29415,4.4676,3.6361 -29416,6.055,3.6361 -29417,6.4548,3.6361 -29418,5.2038,3.5689 -29419,6.4044,3.5689 -29420,5.4844,3.5689 -29421,3.9005,3.5002 -29422,5.3733,3.5002 -29423,5.3026,3.5002 -29424,6.5486,3.4269 -29425,5.7777,3.4269 -29426,4.4383,3.4269 -29427,5.6834,3.3654 -29428,4.9344,3.3654 -29429,4.2202,3.3654 -29430,5.4558,3.3087 -29431,4.7675,3.3087 -29432,3.8888,3.3087 -29433,4.659,3.2673 -29434,3.8148,3.2673 -29435,5.7749,3.2673 -29436,4.366,3.239 -29437,3.9345,3.239 -29438,4.1116,3.239 -29439,3.1323,3.1874 -29440,4.575,3.1874 -29441,4.1361,3.1874 -29442,3.6469,3.12 -29443,4.2613,3.12 -29444,4.7102,3.12 -29445,4.323,3.0636 -29446,5.2829,3.0636 -29447,3.5982,3.0636 -29448,4.4868,3.0016 -29449,4.6769,3.0016 -29450,3.1802,3.0016 -29451,4.1327,2.9305 -29452,4.1663,2.9305 -29453,,2.9305 -29454,3.6364,2.8659 -29455,4.0151,2.8659 -29456,2.7436,2.8659 -29457,4.8422,2.7902 -29458,2.4537,2.7902 -29459,3.7131,2.7902 -29460,3.0602,2.6996 -29461,4.3548,2.6996 -29462,3.7351,2.6996 -29463,2.573,2.6311 -29464,4.2599,2.6311 -29465,3.1765,2.6311 -29466,3.9167,2.5868 -29467,3.7652,2.5868 -29468,3.3027,2.5868 -29469,3.1991,2.5373 -29470,2.5434,2.5373 -29471,2.9486,2.5373 -29472,3.3887,2.4673 -29473,2.3413,2.4673 -29474,3.7689,2.4673 -29475,3.3866,2.402 -29476,3.0093,2.402 -29477,2.0079,2.402 -29478,3.179,2.3301 -29479,2.4845,2.3301 -29480,3.2044,2.3301 -29481,4.4673,2.2321 -29482,2.5543,2.2321 -29483,3.5036,2.2321 -29484,3.5815,2.1437 -29485,2.2834,2.1437 -29486,3.5175,2.1437 -29487,3.2586,2.0929 -29488,2.3363,2.0929 -29489,2.8582,2.0929 -29490,2.0473,2.0483 -29491,3.7286,2.0483 -29492,2.9186,2.0483 -29493,2.7003,2.0004 -29494,1.9837,2.0004 -29495,3.7093,2.0004 -29496,3.2474,1.9626 -29497,2.0468,1.9626 -29498,3.0968,1.9626 -29499,1.979,1.9294 -29500,2.5841,1.9294 -29501,3.0067,1.9294 -29502,3.5692,1.8916 -29503,3.1367,1.8916 -29504,2.2839,1.8916 -29505,2.7164,1.857 -29506,3.1666,1.857 -29507,2.4108,1.857 -29508,4.266,1.8273 -29509,2.3892,1.8273 -29510,2.949,1.8273 -29511,2.8213,1.7777 -29512,2.2803,1.7777 -29513,3.3232,1.7777 -29514,2.264,1.7285 -29515,3.1911,1.7285 -29516,2.5659,1.7285 -29517,2.3197,1.7081 -29518,2.5993,1.7081 -29519,2.5939,1.7081 -29520,2.0093,1.7033 -29521,3.3869,1.7033 -29522,3.1138,1.7033 -29523,1.9,1.7055 -29524,3.3166,1.7055 -29525,2.6159,1.7055 -29526,2.642,1.7138 -29527,2.7086,1.7138 -29528,1.8121,1.7138 -29529,3.0396,1.7489 -29530,2.6216,1.7489 -29531,2.8021,1.7489 -29532,2.8398,1.7775 -29533,2.4592,1.7775 -29534,3.4023,1.7775 -29535,1.8203,1.7852 -29536,2.8125,1.7852 -29537,2.6106,1.7852 -29538,2.1274,1.7813 -29539,3.3238,1.7813 -29540,2.5832,1.7813 -29541,2.1812,1.7826 -29542,2.1034,1.7826 -29543,2.0228,1.7826 -29544,2.8781,1.7844 -29545,3.2419,1.7844 -29546,1.391,1.7844 -29547,2.148,1.7825 -29548,2.8862,1.7825 -29549,1.5441,1.7825 -29550,2.227,1.7824 -29551,3.4864,1.7824 -29552,2.0534,1.7824 -29553,2.712,1.7761 -29554,3.2226,1.7761 -29555,2.3464,1.7761 -29556,2.7654,1.763 -29557,1.6166,1.763 -29558,2.7875,1.763 -29559,1.9485,1.7539 -29560,3.9179,1.7539 -29561,3.1174,1.7539 -29562,2.4151,1.7349 -29563,3.7863,1.7349 -29564,2.2131,1.7349 -29565,3.0647,1.7109 -29566,2.233,1.7109 -29567,2.7755,1.7109 -29568,3.5561,1.6841 -29569,2.4874,1.6841 -29570,4.321,1.6841 -29571,3.1599,1.6612 -29572,2.6387,1.6612 -29573,3.924,1.6612 -29574,2.7038,1.6429 -29575,3.4716,1.6429 -29576,2.0464,1.6429 -29577,2.8195,1.6116 -29578,2.161,1.6116 -29579,3.4461,1.6116 -29580,3.1598,1.598 -29581,2.2106,1.598 -29582,2.6315,1.598 -29583,2.9909,1.6064 -29584,3.564,1.6064 -29585,2.6019,1.6064 -29586,2.9345,1.6145 -29587,,1.6145 -29588,2.651,1.6145 -29589,2.9943,1.6076 -29590,3.2321,1.6076 -29591,2.0075,1.6076 -29592,2.2352,1.5931 -29593,2.3938,1.5931 -29594,2.7186,1.5931 -29595,2.3909,1.5838 -29596,2.2905,1.5838 -29597,3.6461,1.5838 -29598,1.9083,1.5787 -29599,2.8027,1.5787 -29600,2.1884,1.5787 -29601,3.486,1.5828 -29602,3.1231,1.5828 -29603,2.3901,1.5828 -29604,3.408,1.589 -29605,2.8163,1.589 -29606,1.6726,1.589 -29607,3.3858,1.5912 -29608,2.1399,1.5912 -29609,2.5557,1.5912 -29610,2.5233,1.5928 -29611,3.1547,1.5928 -29612,,1.5928 -29613,2.0226,1.588 -29614,2.0604,1.588 -29615,2.453,1.588 -29616,2.003,1.571 -29617,2.8516,1.571 -29618,2.7534,1.571 -29619,1.7597,1.5615 -29620,3.1923,1.5615 -29621,2.9887,1.5615 -29622,2.5895,1.5608 -29623,2.8466,1.5608 -29624,2.6191,1.5608 -29625,3.0192,1.5483 -29626,3.0589,1.5483 -29627,2.1028,1.5483 -29628,3.2683,1.5228 -29629,3.0354,1.5228 -29630,1.8732,1.5228 -29631,3.0489,1.4999 -29632,,1.4999 -29633,3.2284,1.4999 -29634,2.2607,1.4948 -29635,3.8878,1.4948 -29636,3.1158,1.4948 -29637,2.1588,1.5055 -29638,3.0621,1.5055 -29639,2.7967,1.5055 -29640,2.471,1.5282 -29641,3.2831,1.5282 -29642,3.278,1.5282 -29643,3.4511,1.5485 -29644,3.3167,1.5485 -29645,2.6819,1.5485 -29646,3.4596,1.5659 -29647,4.23,1.5659 -29648,2.3537,1.5659 -29649,3.2412,1.5857 -29650,3.3295,1.5857 -29651,2.4026,1.5857 -29652,3.1134,1.6068 -29653,4.0091,1.6068 -29654,2.7366,1.6068 -29655,3.1978,1.6299 -29656,2.2357,1.6299 -29657,3.363,1.6299 -29658,2.5728,1.6609 -29659,3.2837,1.6609 -29660,4.007,1.6609 -29661,3.0536,1.7064 -29662,3.2467,1.7064 -29663,4.4311,1.7064 -29664,2.3568,1.7472 -29665,3.5323,1.7472 -29666,4.0076,1.7472 -29667,2.612,1.7708 -29668,3.2612,1.7708 -29669,3.3699,1.7708 -29670,3.6011,1.7933 -29671,3.8596,1.7933 -29672,3.4173,1.7933 -29673,4.9666,1.82 -29674,4.4709,1.82 -29675,4.7918,1.82 -29676,4.0811,1.8601 -29677,3.5571,1.8601 -29678,4.3979,1.8601 -29679,3.8849,1.9124 -29680,2.019,1.9124 -29681,4.0546,1.9124 -29682,4.5865,1.9557 -29683,3.9671,1.9557 -29684,4.1837,1.9557 -29685,4.8496,1.9915 -29686,4.0613,1.9915 -29687,3.3065,1.9915 -29688,5.0181,2.0241 -29689,3.1634,2.0241 -29690,4.5237,2.0241 -29691,4.9278,2.0512 -29692,4.5432,2.0512 -29693,5.1118,2.0512 -29694,3.493,2.0762 -29695,5.5294,2.0762 -29696,4.2597,2.0762 -29697,5.6724,2.1234 -29698,4.5953,2.1234 -29699,3.653,2.1234 -29700,4.4941,2.1782 -29701,4.7502,2.1782 -29702,4.3122,2.1782 -29703,4.5703,2.2231 -29704,3.2434,2.2231 -29705,5.722,2.2231 -29706,4.0559,2.2663 -29707,5.3615,2.2663 -29708,5.1054,2.2663 -29709,3.9012,2.3185 -29710,4.9211,2.3185 -29711,4.9869,2.3185 -29712,3.4271,2.3517 -29713,4.7211,2.3517 -29714,5.0925,2.3517 -29715,3.7203,2.3881 -29716,3.7691,2.3881 -29717,4.7042,2.3881 -29718,3.5846,2.4098 -29719,5.2399,2.4098 -29720,4.1039,2.4098 -29721,3.6348,2.4414 -29722,4.0897,2.4414 -29723,3.5945,2.4414 -29724,3.9344,2.4646 -29725,4.6131,2.4646 -29726,2.9956,2.4646 -29727,3.0968,2.468 -29728,3.2727,2.468 -29729,4.3044,2.468 -29730,2.7413,2.4605 -29731,4.3692,2.4605 -29732,3.9771,2.4605 -29733,2.5052,2.4441 -29734,3.4381,2.4441 -29735,3.8238,2.4441 -29736,2.4963,2.428 -29737,3.4986,2.428 -29738,3.4229,2.428 -29739,3.7039,2.4129 -29740,3.035,2.4129 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-37668,5.1877,2.2785 -37669,4.7794,2.2785 -37670,4.378,2.2785 -37671,5.2314,2.354 -37672,5.1898,2.354 -37673,4.4871,2.354 -37674,4.4289,2.4229 -37675,3.1336,2.4229 -37676,5.1667,2.4229 -37677,4.9684,2.4759 -37678,4.9048,2.4759 -37679,4.8246,2.4759 -37680,7.6154,2.5019 -37681,6.3041,2.5019 -37682,4.6078,2.5019 -37683,5.995,2.4928 -37684,5.1158,2.4928 -37685,5.1737,2.4928 -37686,5.8366,2.4919 -37687,5.4211,2.4919 -37688,6.1066,2.4919 -37689,5.4338,2.521 -37690,6.0109,2.521 -37691,6.8111,2.521 -37692,5.039,2.5484 -37693,5.2459,2.5484 -37694,5.9502,2.5484 -37695,4.7761,2.5699 -37696,6.2888,2.5699 -37697,5.9689,2.5699 -37698,4.9527,2.5806 -37699,5.7204,2.5806 -37700,6.1758,2.5806 -37701,7.0769,2.598 -37702,5.0309,2.598 -37703,4.8276,2.598 -37704,4.6996,2.6036 -37705,4.2478,2.6036 -37706,4.4523,2.6036 -37707,4.4048,2.5952 -37708,4.9364,2.5952 -37709,6.2272,2.5952 -37710,4.2115,2.5843 -37711,6.2812,2.5843 -37712,5.6203,2.5843 -37713,4.9655,2.5781 -37714,6.4069,2.5781 -37715,4.4745,2.5781 -37716,4.3907,2.5673 -37717,5.5714,2.5673 -37718,4.2766,2.5673 -37719,4.5784,2.5416 -37720,4.1324,2.5416 -37721,5.1571,2.5416 -37722,4.9904,2.5221 -37723,4.7041,2.5221 -37724,4.3732,2.5221 -37725,5.3933,2.5119 -37726,7.1955,2.5119 -37727,4.064,2.5119 -37728,5.4909,2.5115 -37729,5.3609,2.5115 -37730,4.2338,2.5115 -37731,5.8428,2.5231 -37732,4.9935,2.5231 -37733,5.2316,2.5231 -37734,4.1503,2.5294 -37735,5.7761,2.5294 -37736,4.6663,2.5294 -37737,4.2256,2.536 -37738,5.1893,2.536 -37739,5.6936,2.536 -37740,5.7835,2.5448 -37741,5.8752,2.5448 -37742,4.0563,2.5448 -37743,5.0391,2.5491 -37744,4.7296,2.5491 -37745,4.9414,2.5491 -37746,5.2856,2.562 -37747,5.4441,2.562 -37748,4.1147,2.562 -37749,5.1114,2.5739 -37750,6.1975,2.5739 -37751,4.4155,2.5739 -37752,5.0848,2.5844 -37753,5.0427,2.5844 -37754,4.5648,2.5844 -37755,5.1482,2.6024 -37756,5.3532,2.6024 -37757,5.2159,2.6024 -37758,6.133,2.6218 -37759,4.6255,2.6218 -37760,6.1736,2.6218 -37761,6.3507,2.62 -37762,5.3443,2.62 -37763,5.8347,2.62 -37764,5.4587,2.62 -37765,6.3552,2.62 -37766,5.3229,2.62 -37767,5.5342,2.6411 -37768,5.1323,2.6411 -37769,7.5831,2.6411 -37770,6.5491,2.6652 -37771,5.2245,2.6652 -37772,6.8412,2.6652 -37773,5.5251,2.6819 -37774,6.9087,2.6819 -37775,6.0121,2.6819 -37776,6.0651,2.6932 -37777,6.2954,2.6932 -37778,6.1459,2.6932 -37779,8.3831,2.6985 -37780,6.5545,2.6985 -37781,5.034,2.6985 -37782,7.0754,2.6958 -37783,6.3596,2.6958 -37784,7.2579,2.6958 -37785,5.3431,2.6962 -37786,6.288,2.6962 -37787,7.0401,2.6962 -37788,5.7301,2.7064 -37789,5.9847,2.7064 -37790,8.1393,2.7064 -37791,5.85,2.7186 -37792,6.0542,2.7186 -37793,8.1444,2.7186 -37794,6.8963,2.728 -37795,5.7324,2.728 -37796,5.4627,2.728 -37797,6.4373,2.7403 -37798,7.4648,2.7403 -37799,5.4909,2.7403 -37800,6.4256,2.7578 -37801,6.3393,2.7578 -37802,6.04,2.7578 -37803,6.0092,2.7785 -37804,5.5117,2.7785 -37805,5.24,2.7785 -37806,6.4205,2.8109 -37807,6.1743,2.8109 -37808,7.1275,2.8109 -37809,6.1767,2.8625 -37810,7.9136,2.8625 -37811,6.7183,2.8625 -37812,6.3938,2.9013 -37813,8.4377,2.9013 -37814,7.2276,2.9013 -37815,6.9653,2.9261 -37816,6.9943,2.9261 -37817,8.2986,2.9261 -37818,7.0842,2.9429 -37819,5.3353,2.9429 -37820,5.8912,2.9429 -37821,6.6488,2.9508 -37822,7.2602,2.9508 -37823,6.3227,2.9508 -37824,6.9424,2.9756 -37825,7.583,2.9756 -37826,5.229,2.9756 -37827,6.0858,3.0068 -37828,6.8231,3.0068 -37829,5.3433,3.0068 -37830,6.0165,3.0262 -37831,5.7239,3.0262 -37832,7.3815,3.0262 -37833,5.5855,3.0387 -37834,7.5492,3.0387 -37835,7.1067,3.0387 -37836,6.0613,3.0384 -37837,8.1403,3.0384 -37838,6.5617,3.0384 -37839,7.4551,3.0277 -37840,5.3444,3.0277 -37841,5.9667,3.0277 -37842,6.8577,3.0239 -37843,5.0793,3.0239 -37844,7.2756,3.0239 -37845,6.3007,3.0241 -37846,6.1975,3.0241 -37847,8.0337,3.0241 -37848,6.7705,3.0207 -37849,8.2418,3.0207 -37850,6.1111,3.0207 -37851,8.6878,3.0166 -37852,7.2502,3.0166 -37853,7.615,3.0166 -37854,8.1231,3.0122 -37855,5.9581,3.0122 -37856,7.7508,3.0122 -37857,7.376,3.0059 -37858,7.0202,3.0059 -37859,7.2518,3.0059 -37860,5.9162,2.9985 -37861,7.3596,2.9985 -37862,6.7168,2.9985 -37863,6.7916,3.0015 -37864,7.018,3.0015 -37865,6.0417,3.0015 -37866,6.309,3.0123 -37867,6.0406,3.0123 -37868,7.0209,3.0123 -37869,6.3938,3.0108 -37870,6.7694,3.0108 -37871,5.7614,3.0108 -37872,6.1308,2.9908 -37873,8.707,2.9908 -37874,6.806,2.9908 -37875,7.2371,2.9624 -37876,6.7924,2.9624 -37877,5.1533,2.9624 -37878,6.6667,2.9549 -37879,7.0227,2.9549 -37880,6.8302,2.9549 -37881,8.2284,2.9669 -37882,6.4652,2.9669 -37883,7.5505,2.9669 -37884,6.5811,2.9823 -37885,7.0944,2.9823 -37886,9.0712,2.9823 -37887,6.6967,3.0065 -37888,7.7564,3.0065 -37889,8.6039,3.0065 -37890,7.4533,3.039 -37891,7.9621,3.039 -37892,8.3666,3.039 -37893,7.4368,3.0799 -37894,8.0097,3.0799 -37895,9.2448,3.0799 -37896,6.9038,3.1176 -37897,9.1172,3.1176 -37898,8.0968,3.1176 -37899,6.9127,3.1431 -37900,8.172,3.1431 -37901,7.0279,3.1431 -37902,8.0927,3.146 -37903,8.342,3.146 -37904,6.5289,3.146 -37905,9.2097,3.1546 -37906,7.3743,3.1546 -37907,7.3847,3.1546 -37908,7.2209,3.1759 -37909,9.1776,3.1759 -37910,7.7708,3.1759 -37911,6.9854,3.1975 -37912,7.6698,3.1975 -37913,7.789,3.1975 -37914,6.2333,3.228 -37915,7.1128,3.228 -37916,10.757,3.228 -37917,7.2725,3.2561 -37918,9.1742,3.2561 -37919,8.6314,3.2561 -37920,8.1313,3.2813 -37921,8.7107,3.2813 -37922,6.7302,3.2813 -37923,7.8055,3.3191 -37924,10.5394,3.3191 -37925,7.3282,3.3191 -37926,7.2735,3.3429 -37927,6.7596,3.3429 -37928,7.2798,3.3429 -37929,7.1562,3.3438 -37930,7.4121,3.3438 -37931,8.493,3.3438 -37932,7.3742,3.3475 -37933,7.5478,3.3475 -37934,8.4265,3.3475 -37935,6.0637,3.3847 -37936,7.464,3.3847 -37937,7.9638,3.3847 -37938,10.6212,3.4134 -37939,7.4668,3.4134 -37940,6.696,3.4134 -37941,8.2532,3.4157 -37942,6.1944,3.4157 -37943,8.0252,3.4157 -37944,7.4549,3.4043 -37945,7.1759,3.4043 -37946,6.5928,3.4043 -37947,7.5653,3.4047 -37948,8.9584,3.4047 -37949,5.9298,3.4047 -37950,10.554,3.4264 -37951,7.2528,3.4264 -37952,7.4297,3.4264 -37953,6.9803,3.4362 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-38002,7.7323,3.6012 -38003,7.9791,3.6012 -38004,8.949,3.6208 -38005,7.0553,3.6208 -38006,10.3486,3.6208 -38007,8.2077,3.646 -38008,9.5853,3.646 -38009,7.7688,3.646 -38010,7.0028,3.6617 -38011,8.8169,3.6617 -38012,7.7676,3.6617 -38013,7.4119,3.6762 -38014,7.8239,3.6762 -38015,8.5285,3.6762 -38016,8.4633,3.7093 -38017,7.5338,3.7093 -38018,7.0873,3.7093 -38019,8.9841,3.722 -38020,10.0567,3.722 -38021,7.242,3.722 -38022,7.9757,3.7235 -38023,10.0315,3.7235 -38024,6.8255,3.7235 -38025,7.1426,3.7299 -38026,9.3227,3.7299 -38027,6.739,3.7299 -38028,7.2076,3.7452 -38029,7.2894,3.7452 -38030,9.3702,3.7452 -38031,,3.7688 -38032,7.1413,3.7688 -38033,6.9169,3.7688 -38034,6.8343,3.7844 -38035,8.0761,3.7844 -38036,6.7093,3.7844 -38037,6.3334,3.7784 -38038,7.9535,3.7784 -38039,6.8996,3.7784 -38040,6.3003,3.7711 -38041,7.0627,3.7711 -38042,7.5204,3.7711 -38043,7.4511,3.7744 -38044,7.0443,3.7744 -38045,6.9225,3.7744 -38046,9.2095,3.7735 -38047,7.1115,3.7735 -38048,7.8705,3.7735 -38049,7.4527,3.7588 -38050,6.3145,3.7588 -38051,8.379,3.7588 -38052,7.0042,3.7429 -38053,7.4494,3.7429 -38054,7.3381,3.7429 -38055,8.003,3.7123 -38056,5.5985,3.7123 -38057,8.0765,3.7123 -38058,9.6279,3.6682 -38059,6.8917,3.6682 -38060,6.4733,3.6682 -38061,7.3599,3.6292 -38062,7.1652,3.6292 -38063,6.2293,3.6292 -38064,6.6172,3.5806 -38065,6.0328,3.5806 -38066,6.6241,3.5806 -38067,6.4817,3.5304 -38068,7.3248,3.5304 -38069,6.1102,3.5304 -38070,8.8534,3.4865 -38071,7.4484,3.4865 -38072,6.0017,3.4865 -38073,8.9094,3.4522 -38074,7.0961,3.4522 -38075,6.7418,3.4522 -38076,8.1642,3.4112 -38077,5.901,3.4112 -38078,7.0716,3.4112 -38079,5.7531,3.3788 -38080,6.1517,3.3788 -38081,7.0507,3.3788 -38082,5.6444,3.3485 -38083,6.1731,3.3485 -38084,6.3652,3.3485 -38085,5.1173,3.2913 -38086,6.1389,3.2913 -38087,7.5329,3.2913 -38088,6.4503,3.2136 -38089,6.5519,3.2136 -38090,8.6392,3.2136 -38091,5.6856,3.1477 -38092,8.1405,3.1477 -38093,6.1027,3.1477 -38094,7.2923,3.1167 -38095,7.8248,3.1167 -38096,6.5544,3.1167 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os.path.join(datadir,'regression_test.csv') -# ) -# assert isinstance(test, pd.DataFrame) - -# # list, np array, series, df[col] test cases - -# #pd.DataFrame and column names case -# self.test_generic(x='internal', y='reference', data=test) - -# #pd.Series case -# self.test_generic(x=test['internal'], y=test['reference']) - -# #arrays case -# self.test_generic(x=test['internal'].to_numpy(), y=test['reference'].to_numpy()) - -# #list case -# self.test_generic(x=test['internal'].to_list(), y=test['reference'].to_list()) - - -# def test_generic(self, **kwargs): -# #load kwargs -# x = kwargs.pop("x") -# y = kwargs.pop("y") -# data = kwargs.pop("data", None) -# statstest = stats.stats(x=x, y=y, data=data) - -# #make sure all data is there in correct format -# self.assertIsInstance(statstest, dict) -# self.assertTrue("mae" in statstest.keys()) -# #still need to add -# #self.assertTrue("cvmae" in statstest.keys()) -# self.assertTrue("mape" in statstest.keys()) -# self.assertTrue("mbe" in statstest.keys()) -# self.assertTrue("rmse" in statstest.keys()) -# self.assertTrue("mdae" in statstest.keys()) -# self.assertTrue("r2_score" in statstest.keys()) - -# #make sure the values are correct -# self.assertGreaterEqual(statstest["mae"], 3.0) -# self.assertLessEqual(statstest["mae"], 3.1) -# self.assertGreaterEqual(statstest["mape"], 0.31) -# self.assertLessEqual(statstest["mape"], 0.33) -# self.assertGreaterEqual(statstest["mbe"], 2.9) -# self.assertLessEqual(statstest["mbe"], 3.1) -# self.assertGreaterEqual(statstest["rmse"], 3.7) -# self.assertLessEqual(statstest["rmse"], 3.8) -# self.assertGreaterEqual(statstest["mdae"], 2.5) -# self.assertLessEqual(statstest["mdae"], 2.6) -# self.assertGreaterEqual(statstest["r2_score"], 0.35) -# self.assertLessEqual(statstest["r2_score"], 0.37) - - -# def test_epa(self): -# #load some data -# test = pd.read_csv( -# os.path.join(datadir,'epa_test.csv') -# ) -# assert isinstance(test, pd.DataFrame) - -# return diff --git a/tests/test_trends.py b/tests/test_trends.py new file mode 100644 index 0000000..605f725 --- /dev/null +++ b/tests/test_trends.py @@ -0,0 +1,31 @@ +"""Test the trend plots.""" +import pytest +from atmospy import dielplot +import pandas as pd +import matplotlib as mpl +from atmospy import load_dataset + +def prep_diel_dataset(rs='1min'): + df = load_dataset("us-ozone") + + single_site_ozone = df[df['Local Site Name'] == df['Local Site Name'].unique()[0]] + + # Adjust the timezone + single_site_ozone.loc[:, 'Timestamp Local'] = single_site_ozone['Timestamp GMT'].apply(lambda x: x + pd.Timedelta(hours=-7)) + + # Resample to {rs}min + single_site_ozone = single_site_ozone.set_index("Timestamp Local").resample(rs).interpolate('linear').reset_index() + + # Adjust to ppb + single_site_ozone['Sample Measurement'] *= 1e3 + + return single_site_ozone + +def test_dielplot_basics(): + df = prep_diel_dataset('15min') + + ax = dielplot( + df, x="Timestamp Local", y='Sample Measurement', + ) + + assert isinstance(ax, mpl.axes._axes.Axes) \ No newline at end of file From 66bbaf5142d0c684c5bdb4aee510961ce2c7e699 Mon Sep 17 00:00:00 2001 From: "David H. Hagan" Date: Sun, 7 Apr 2024 22:28:19 -0400 Subject: [PATCH 3/4] Adjusted gh-actions --- .github/workflows/tests.yml | 9 ++++----- 1 file changed, 4 insertions(+), 5 deletions(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index 019e7e4..fefe396 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -5,7 +5,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python: [3.6, 3.7, 3.8] + python: ["3.8", "3.9", 3".10", "3.11", "3.12"] name: Python ${{ matrix.python }} tests steps: - name: Checkout branch @@ -17,13 +17,12 @@ jobs: python-version: ${{ matrix.python }} - name: Install poetry - uses: snok/install-poetry@v1.1.1 + uses: snok/install-poetry@v1 with: - version: 1.1.4 - create_virtualenvs: true + virtualenvs-create: true - name: Install dependencies - run: poetry install + run: poetry install --no-interaction - name: Run tests and generate coverage report run: | From a28697f89a39dffb275668886bdd82ac609d9553 Mon Sep 17 00:00:00 2001 From: "David H. Hagan" Date: Sun, 7 Apr 2024 22:31:18 -0400 Subject: [PATCH 4/4] Adjusted gh-actions --- .github/workflows/tests.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index fefe396..9c34093 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -5,7 +5,7 @@ jobs: runs-on: ubuntu-latest strategy: matrix: - python: ["3.8", "3.9", 3".10", "3.11", "3.12"] + python: ["3.8", "3.9", "3.10", "3.11", "3.12"] name: Python ${{ matrix.python }} tests steps: - name: Checkout branch