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Adding LAMDA filtering toolkit #115

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merged 15 commits into from
Jan 28, 2022
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f19f76a
updates to plot_features.py
kevindougherty-noaa Oct 26, 2021
75552dd
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Nov 12, 2021
4f1780a
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Nov 12, 2021
ac34ae8
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Nov 15, 2021
e0df679
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Nov 16, 2021
21d01f7
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Nov 16, 2021
2e9fdcc
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Nov 16, 2021
7fba31f
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Nov 16, 2021
55da4da
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Nov 17, 2021
20e2f19
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Nov 17, 2021
ea4f2b8
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Nov 22, 2021
f70ce83
Merge branch 'feature/LAMDA' of https://github.com/NOAA-EMC/PyGSI int…
kevindougherty-noaa Jan 28, 2022
fc775e4
add LAMDA filtering tools
kevindougherty-noaa Jan 28, 2022
f33b1d7
changed to functions
kevindougherty-noaa Jan 28, 2022
93357c4
pycodestyle issues
kevindougherty-noaa Jan 28, 2022
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56 changes: 56 additions & 0 deletions LAMDA/LAMDA_tools.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,56 @@
import numpy as np
import pandas as pd


class LAMDA_Tools:

def __init__(self):
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Should this be a class?
So you would call it like so:

tool = LAMDA_Tools()
land_df = tool.land_fraction(all_df)

Shouldn't these just be functions? Or am I missing something.

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Yes, you are right.

return

def land_fraction(self, df):
"""
Returns dataframe for only land data.
"""
df = df[df['land_fraction'] > 0]

return df

def water_fraction(self, df):
"""
Returns dataframe for only water data.
"""
df = df[df['water_fraction'] > 0]

return df

def cloud_fraction(self, df):
"""
Returns dataframe for only cloud data.
"""
df = df[df['cloud_fraction'] > 0]

return df

def vegetation_fraction(self, df):
"""
Returns dataframe for only vegetation data.
"""
df = df[df['vegetation_fraction'] > 0]

return df

def ice_fraction(self, df):
"""
Returns dataframe for only ice data.
"""
df = df[df['ice_fraction'] > 0]

return df

def snow_fraction(self, df):
"""
Returns dataframe for only snow data.
"""
df = df[df['snow_fraction'] > 0]

return df