From 64856bcde57e4ed5b6a35aa4d5b4f9c86fca391f Mon Sep 17 00:00:00 2001 From: Ben RdO Date: Thu, 6 May 2021 16:43:39 -0700 Subject: [PATCH 1/4] style: format title --- docs/index.rst | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/index.rst b/docs/index.rst index e8515e22..4fbead94 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -1,5 +1,5 @@ PostREISE -============ +========= This tutorial focuses on the analysis and plotting of scenario output data. PostREISE is an open source package written in Python that is available on `GitHub `_. 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z)f(&N^R!_kh)uzG)>o8B~T65+gQL&pNBw*A~kn+rfL=7gQ=X5_t%R7gS~bED|q`Qeqowz@v77XGng(@+d|v znGPt|+AkT1@OOu2qS)}aQ2p43rF%u*G($%15X<1=SUY<+pgXDQW$<@P-8|3*m|`wi zup$>@b{0@3U;3oK7^v!byFzlAKvd8nL7;x*+<-I!t#@|!CIJr%;u~_T&U-R>%2%9G z<&{`A#=D@BdR!IO9)C}QqeyqhXExMSRp{@5kg7imeY54HwCKZI|%XJzprUKpRE=2o=w znk#1Er7(NRCsXbNqO6Keapa{J%Lc@f(tN84tz$gpE13Vgb!r{6bQy0*Ky3NiG)BOC zI`!QS%3v!Nnay27YyC{5AK=v0xMwY07;G2qJXDe3zPfz8g-tW$q(l1koho%%MA4g2 z+C+*jFk#3K__Sm(Y8nbO2dr`Z1K|M%|XY5)8Gw&%M^A|GiiI#RiMyX|<>x7HoK+hyvu5&r|hR_e0= literal 0 HcmV?d00001 diff --git a/docs/plot.rst b/docs/plot.rst index 3dfff009..a21aa0d7 100644 --- a/docs/plot.rst +++ b/docs/plot.rst @@ -147,6 +147,24 @@ Generator Capacity and Generation .. image:: img/single/capacity_vs_cf_solar_western_scatter.png +- plot capacity vs cost curve slope of generators in an area (`notebook + `_) + + .. code-block:: python + + from powersimdata.scenario.scenario import Scenario + from powersimdata.utility.helpers import PrintManager + from postreise.plot.plot_scatter_capacity_vs_cost_curve_slope import ( + plot_scatter_capacity_vs_cost_curve_slope + ) + + with PrintManager(): + scenario = Scenario(3287) + + plot_scatter_capacity_vs_cost_curve_slope(scenario, "Eastern", "coal") + + .. image:: img/single/capacity_vs_cost_curve_slope_coal_eastern_scatter.png + Curtailment ########### From edcc36d1d1338f27cee10ae83ae574ddb7cbe39b Mon Sep 17 00:00:00 2001 From: Ben RdO Date: Thu, 6 May 2021 16:52:19 -0700 Subject: [PATCH 3/4] fix: use anonymous reference to avoid duplicate warnings --- docs/plot.rst | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/docs/plot.rst b/docs/plot.rst index a21aa0d7..738aa878 100644 --- a/docs/plot.rst +++ b/docs/plot.rst @@ -10,7 +10,7 @@ Single Scenario Transmission ############ - get a power flow snapshot (`notebook - `_) + `__) .. code-block:: python @@ -34,7 +34,7 @@ Transmission Emission ######## - show carbon emission by generator type using circles overlay on a map - (`notebook `_) + (`notebook `__) .. code-block:: python @@ -57,7 +57,7 @@ Emission Generator Capacity and Generation ################################# - plot stacked generation time series in an area (`notebook - `_) + `__) .. code-block:: python @@ -128,7 +128,7 @@ Generator Capacity and Generation .. image:: img/single/generation_stack_western_ts.png - plot capacity vs capacity factor of generators in an area (`notebook - `_) + `__) .. code-block:: python @@ -148,7 +148,7 @@ Generator Capacity and Generation .. image:: img/single/capacity_vs_cf_solar_western_scatter.png - plot capacity vs cost curve slope of generators in an area (`notebook - `_) + `__) .. code-block:: python @@ -169,7 +169,7 @@ Generator Capacity and Generation Curtailment ########### - plot renewable generators curtailment time series in an area (`notebook - `_) + `__) .. code-block:: python @@ -195,7 +195,7 @@ Curtailment Price ##### - map locational marginal price (`notebook - `_) + `__) .. code-block:: python @@ -216,7 +216,7 @@ Price General ####### - plot any time-series values using a heatmap where each column is one color-coded day - (`notebook `_) + (`notebook `__) .. code-block:: python @@ -271,7 +271,7 @@ Scenarios Comparison Generator Capacity and Generation ################################# - compare generation and capacity in various scenarios through bar charts (`notebook - `_) + `__) .. code-block:: python @@ -294,7 +294,7 @@ Generator Capacity and Generation .. image:: img/comp/capacity_vs_generation_western_bar.png - compare generation and capacity in various scenarios through pie charts (`notebook - `_) + `__) .. code-block:: python @@ -316,7 +316,7 @@ Generator Capacity and Generation .. image:: img/comp/capacity_vs_generation_western_pie.png - compare generation shortfall in various scenarios through bar charts (`notebook - `_) + `__) .. code-block:: python @@ -355,7 +355,7 @@ Generator Capacity and Generation Emission ######## - compare total carbon emissions by generator type for 1-to-n scenarios through bar - charts (`notebook `_) + charts (`notebook `__) .. code-block:: python @@ -382,7 +382,7 @@ Emission .. image:: img/comp/emission_bar.png - compare carbon emission by generator type for two scenarios on a map (`notebook - `_) + `__) .. code-block:: python @@ -403,7 +403,7 @@ Emission :file: img/comp/emission_map.html - plot stacked generation and carbon emission for 1-to-n scenarios side-by-side - (`notebook `_) + (`notebook `__) .. code-block:: python From 608709e9b6d3f9eb4b9aa6a592db6d5ea2b9d238 Mon Sep 17 00:00:00 2001 From: Ben RdO Date: Thu, 6 May 2021 16:52:48 -0700 Subject: [PATCH 4/4] chore: update tutorial notebook --- postreise/plot/demo/plot_tutorial.ipynb | 38 +++++++++++++++++++++++++ 1 file changed, 38 insertions(+) diff --git a/postreise/plot/demo/plot_tutorial.ipynb b/postreise/plot/demo/plot_tutorial.ipynb index 5ac29902..f01d8eac 100644 --- a/postreise/plot/demo/plot_tutorial.ipynb +++ b/postreise/plot/demo/plot_tutorial.ipynb @@ -2781,6 +2781,44 @@ " )" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Capacity vs Cost Curve Slope" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from powersimdata.scenario.scenario import Scenario\n", + "from powersimdata.utility.helpers import PrintManager\n", + "from postreise.plot.plot_scatter_capacity_vs_cost_curve_slope import (\n", + " plot_scatter_capacity_vs_cost_curve_slope\n", + ")\n", + "\n", + "with PrintManager():\n", + " scenario = Scenario(3287)\n", + "\n", + " plot_scatter_capacity_vs_cost_curve_slope(scenario, \"Eastern\", \"coal\")" + ] + }, { "cell_type": "code", "execution_count": null,