From e77c26d7dbbabecffb1b1113f8ca757ade5fdc1a Mon Sep 17 00:00:00 2001 From: Jake Bass Date: Sun, 12 Nov 2023 10:17:52 -0800 Subject: [PATCH 1/2] Correct PUDL name. --- gridle_game/src/components/panels/Infos.tsx | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gridle_game/src/components/panels/Infos.tsx b/gridle_game/src/components/panels/Infos.tsx index ce69b4d..0858436 100644 --- a/gridle_game/src/components/panels/Infos.tsx +++ b/gridle_game/src/components/panels/Infos.tsx @@ -189,7 +189,7 @@ export function Infos({ isOpen, close, settingsData }: InfosProps) { target="_blank" rel="noopener noreferrer" > - Learn more about the Public Utility Liberation Data Project ⚡ + Learn more about the Public Utility Data Liberation Project ⚡ From 53f24081b09284441b6525b13564b314539eeb54 Mon Sep 17 00:00:00 2001 From: Jake Bass Date: Sun, 12 Nov 2023 10:18:22 -0800 Subject: [PATCH 2/2] Remove ipynb checkpoint. --- .../gridle-init-checkpoint.ipynb | 5647 ----------------- 1 file changed, 5647 deletions(-) delete mode 100644 gridle_python/notebooks/.ipynb_checkpoints/gridle-init-checkpoint.ipynb diff --git a/gridle_python/notebooks/.ipynb_checkpoints/gridle-init-checkpoint.ipynb b/gridle_python/notebooks/.ipynb_checkpoints/gridle-init-checkpoint.ipynb deleted file mode 100644 index 1b3083c..0000000 --- a/gridle_python/notebooks/.ipynb_checkpoints/gridle-init-checkpoint.ipynb +++ /dev/null @@ -1,5647 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "aef10542-dddf-4e13-bd76-f9c8e7a49dcb", - "metadata": {}, - "source": [ - "## PUDL" - ] - }, - { - "cell_type": "code", - "execution_count": 144, - "id": "31e1ecb4-43d6-4b0c-a495-ee2d0831ef2f", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import pandas as pd\n", - "import sqlalchemy as sa\n", - "\n", - "# Download pudl.sqlite ~10 GB\n", - "# https://s3.us-west-2.amazonaws.com/pudl.catalyst.coop/dev/pudl.sqlite\n", - "\n", - "engine = sa.create_engine(\"sqlite:////Users/bendnorman/catalyst/dagster-pudl-work/pudl_output/full_eia_pudl.sqlite\")\n", - "\n", - "with engine.connect() as con:\n", - " plants_entity_eia = pd.read_sql_table(\"plants_entity_eia\", con)\n", - " generation = pd.read_sql_table(\"denorm_generation_fuel_combined_yearly_eia923\", con)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 145, - "id": "e9bddce2-8ed8-4ea1-9662-efc26e643d6d", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 16212 entries, 0 to 16211\n", - "Data columns (total 10 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 plant_id_eia 16212 non-null int64 \n", - " 1 plant_name_eia 15943 non-null object \n", - " 2 city 15130 non-null object \n", - " 3 county 15306 non-null object \n", - " 4 latitude 15221 non-null float64\n", - " 5 longitude 15412 non-null float64\n", - " 6 state 15938 non-null object \n", - " 7 street_address 14713 non-null object \n", - " 8 zip_code 15420 non-null object \n", - " 9 timezone 15943 non-null object \n", - "dtypes: float64(2), int64(1), object(7)\n", - "memory usage: 1.2+ MB\n" - ] - } - ], - "source": [ - "plants_entity_eia.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 146, - "id": "88a95585-d2f1-4d4a-b309-ec823e09f373", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "RangeIndex: 244796 entries, 0 to 244795\n", - "Data columns (total 16 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 report_date 244796 non-null datetime64[ns]\n", - " 1 plant_id_eia 244796 non-null int64 \n", - " 2 plant_id_pudl 244796 non-null int64 \n", - " 3 plant_name_eia 244796 non-null object \n", - " 4 utility_id_eia 244796 non-null int64 \n", - " 5 utility_id_pudl 244796 non-null int64 \n", - " 6 utility_name_eia 244796 non-null object \n", - " 7 energy_source_code 244796 non-null object \n", - " 8 fuel_type_code_pudl 244796 non-null object \n", - " 9 prime_mover_code 244796 non-null object \n", - " 10 fuel_consumed_units 244796 non-null float64 \n", - " 11 fuel_consumed_for_electricity_units 244796 non-null float64 \n", - " 12 fuel_mmbtu_per_unit 204765 non-null float64 \n", - " 13 fuel_consumed_mmbtu 244796 non-null float64 \n", - " 14 fuel_consumed_for_electricity_mmbtu 244796 non-null float64 \n", - " 15 net_generation_mwh 244796 non-null float64 \n", - "dtypes: datetime64[ns](1), float64(6), int64(4), object(5)\n", - "memory usage: 29.9+ MB\n" - ] - } - ], - "source": [ - "generation.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 147, - "id": "4f60f99f-9a99-4f96-9f77-a9e834f9dc86", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "generation = generation.merge(plants_entity_eia, on=[\"plant_id_eia\"], validate=\"m:1\", how=\"left\")" - ] - }, - { - "cell_type": "code", - "execution_count": 148, - "id": "9a5a089e-eb38-4d9f-b0ab-74f9d0bd73e0", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Int64Index: 244796 entries, 0 to 244795\n", - "Data columns (total 25 columns):\n", - " # Column Non-Null Count Dtype \n", - "--- ------ -------------- ----- \n", - " 0 report_date 244796 non-null datetime64[ns]\n", - " 1 plant_id_eia 244796 non-null int64 \n", - " 2 plant_id_pudl 244796 non-null int64 \n", - " 3 plant_name_eia_x 244796 non-null object \n", - " 4 utility_id_eia 244796 non-null int64 \n", - " 5 utility_id_pudl 244796 non-null int64 \n", - " 6 utility_name_eia 244796 non-null object \n", - " 7 energy_source_code 244796 non-null object \n", - " 8 fuel_type_code_pudl 244796 non-null object \n", - " 9 prime_mover_code 244796 non-null object \n", - " 10 fuel_consumed_units 244796 non-null float64 \n", - " 11 fuel_consumed_for_electricity_units 244796 non-null float64 \n", - " 12 fuel_mmbtu_per_unit 204765 non-null float64 \n", - " 13 fuel_consumed_mmbtu 244796 non-null float64 \n", - " 14 fuel_consumed_for_electricity_mmbtu 244796 non-null float64 \n", - " 15 net_generation_mwh 244796 non-null float64 \n", - " 16 plant_name_eia_y 244796 non-null object \n", - " 17 city 238771 non-null object \n", - " 18 county 234120 non-null object \n", - " 19 latitude 241658 non-null float64 \n", - " 20 longitude 244381 non-null float64 \n", - " 21 state 244728 non-null object \n", - " 22 street_address 230306 non-null object \n", - " 23 zip_code 238122 non-null object \n", - " 24 timezone 244796 non-null object \n", - "dtypes: datetime64[ns](1), float64(8), int64(4), object(12)\n", - "memory usage: 48.6+ MB\n" - ] - } - ], - "source": [ - "generation.info()" - ] - }, - { - "cell_type": "code", - "execution_count": 184, - "id": "2263e630-e9ae-4bcd-9a96-ca774c8bb1ee", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "def plot_state_generation(generation: pd.DataFrame, state:str, publish=False, local=True):\n", - " state_generation = generation.query(\"state == @state\")\n", - "\n", - " fuel_type_grp = state_generation.groupby([\"report_date\", \"fuel_type_code_pudl\"])[\"net_generation_mwh\"].sum().reset_index()\n", - "\n", - " traces = []\n", - "\n", - " for fuel_type in generation.fuel_type_code_pudl.unique():\n", - " fuel_type_net_gen = fuel_type_grp.query(\"fuel_type_code_pudl == @fuel_type\")\n", - " traces.append(go.Scatter(\n", - " x=fuel_type_net_gen.report_date,\n", - " y=fuel_type_net_gen.net_generation_mwh / 1_000,\n", - " stackgroup=\"one\",\n", - " name=fuel_type,\n", - " marker_colorscale=plotly.colors.sequential.Viridis\n", - " ))\n", - "\n", - " fig = go.Figure(data=traces)\n", - " # fig.update_layout(showlegend=False)\n", - " fig.update_layout(legend=dict(\n", - " yanchor=\"top\",\n", - " y=0.99,\n", - " xanchor=\"left\",\n", - " x=0.01\n", - " ))\n", - " fig.update_layout(\n", - " margin=dict(l=20, r=20, t=20, b=20),\n", - " )\n", - " fig.update_layout({\n", - " # \"plot_bgcolor\": \"rgba(0, 0, 0, 0)\",\n", - " \"paper_bgcolor\": \"rgba(0, 0, 0, 0)\",\n", - " })\n", - " fig.update_layout(\n", - " xaxis_title=\"Years\",\n", - " yaxis_title=\"Gigawatt Hours (Gwh)\",\n", - " hovermode='x'\n", - " )\n", - " if local:\n", - " fig.show()\n", - " if publish:\n", - " py.plot(fig, filename = f\"{state.lower()}_electricity_generation\", auto_open=False)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 185, - "id": "b3b73206-64f2-4167-b154-edaf44e8d69a", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plotly.com" - }, - "data": [ - { - "marker": { - "colorscale": [ - [ - 0, - "#440154" - ], - [ - 0.1111111111111111, - "#482878" - ], - [ - 0.2222222222222222, - "#3e4989" - ], - [ - 0.3333333333333333, - "#31688e" - ], - [ - 0.4444444444444444, - "#26828e" - ], - [ - 0.5555555555555556, - "#1f9e89" - ], - [ - 0.6666666666666666, - "#35b779" - ], - [ - 0.7777777777777778, - "#6ece58" - ], - [ - 0.8888888888888888, - "#b5de2b" - ], - [ - 1, - "#fde725" - ] - ] - }, - "name": "hydro", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 1614.259998, - 1710.812379, - 3504.176861, - 2811.925923, - 3820.290999, - 2168.494004, - 1914.539004, - 1987.69633, - 3531.6709100000003, - 3043.748, - 1970.55, - 1398.416, - 3286.28919, - 2283.714, - 2169.031, - 1901.511, - 1162.17, - 3208.114, - 3357.53498, - 4286.206768, - 3527.315, - 2533.931 - ] - }, - { - "marker": { - "colorscale": [ - [ - 0, - "#440154" - ], - [ - 0.1111111111111111, - "#482878" - ], - [ - 0.2222222222222222, - "#3e4989" - ], - [ - 0.3333333333333333, - "#31688e" - ], - [ - 0.4444444444444444, - "#26828e" - ], - [ - 0.5555555555555556, - "#1f9e89" - ], - [ - 0.6666666666666666, - "#35b779" - ], - [ - 0.7777777777777778, - "#6ece58" - ], - [ - 0.8888888888888888, - "#b5de2b" - ], - [ - 1, - "#fde725" - ] - ] - }, - "name": "coal", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 74970.920057, - 79361.215462, - 79000.684584, - 80458.56468586001, - 87743.13156222, - 87086.64143384, - 90853.26901, - 85960.84433200001, - 69960.256163, - 73783.177005, - 60572.33261099999, - 41019.731924, - 40440.279286000005, - 45471.284558, - 37243.655730000006, - 37987.844045000005, - 32627.398138000004, - 32336.939718999998, - 25289.437960000003, - 14053.611819000002, - 19174.072563, - 16728.069362 - ] - }, - { - "marker": { - "colorscale": [ - [ - 0, - "#440154" - ], - [ - 0.1111111111111111, - "#482878" - ], - [ - 0.2222222222222222, - "#3e4989" - ], - [ - 0.3333333333333333, - "#31688e" - ], - [ - 0.4444444444444444, - "#26828e" - ], - [ - 0.5555555555555556, - "#1f9e89" - ], - [ - 0.6666666666666666, - "#35b779" - ], - [ - 0.7777777777777778, - "#6ece58" - ], - [ - 0.8888888888888888, - "#b5de2b" - ], - [ - 1, - "#fde725" - ] - ] - }, - "name": "oil", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 746.7118220000001, - 671.758021, - 566.022798, - 395.428267, - 458.70917199, - 251.57014648, - 226.550981, - 271.974466, - 167.614268, - 155.427809, - 136.58682799999997, - 73.38958, - 67.524607, - 179.47729800000002, - 147.345497, - 114.475357, - 142.077872, - 279.349104, - 106.72527500000001, - 66.84414000000001, - 81.055409, - 181.65764000000001 - ] - }, - { - "marker": { - "colorscale": [ - [ - 0, - "#440154" - ], - [ - 0.1111111111111111, - "#482878" - ], - [ - 0.2222222222222222, - "#3e4989" - ], - [ - 0.3333333333333333, - "#31688e" - ], - [ - 0.4444444444444444, - "#26828e" - ], - [ - 0.5555555555555556, - "#1f9e89" - ], - [ - 0.6666666666666666, - "#35b779" - ], - [ - 0.7777777777777778, - "#6ece58" - ], - [ - 0.8888888888888888, - "#b5de2b" - ], - [ - 1, - "#fde725" - ] - ] - }, - "name": "gas", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 3721.228653, - 7338.780719, - 4210.715099999999, - 6066.848901220001, - 9767.406478539999, - 12960.598322060001, - 16075.515043, - 13428.411495999999, - 20505.749266, - 23884.457278, - 26282.528282, - 42278.366130999995, - 40329.847351, - 40953.201567000004, - 49741.101675, - 52862.46431, - 52708.816188000004, - 51969.437204999995, - 58619.996630999995, - 58642.401004, - 56673.11500499999, - 57807.967512999996 - ] - }, - { - "marker": { - "colorscale": [ - [ - 0, - "#440154" - ], - [ - 0.1111111111111111, - "#482878" - ], - [ - 0.2222222222222222, - "#3e4989" - ], - [ - 0.3333333333333333, - "#31688e" - ], - [ - 0.4444444444444444, - "#26828e" - ], - [ - 0.5555555555555556, - "#1f9e89" - ], - [ - 0.6666666666666666, - "#35b779" - ], - [ - 0.7777777777777778, - "#6ece58" - ], - [ - 0.8888888888888888, - "#b5de2b" - ], - [ - 1, - "#fde725" - ] - ] - }, - "name": "nuclear", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 33681.769, - 31107.735, - 33256.649, - 33747.705, - 31534.259, - 32005.81, - 32544.998, - 31691.095, - 31682.579, - 33512.033, - 32306.181, - 33941.634, - 32902.781, - 32570.182, - 33838.462, - 34480.662, - 33708.805, - 34362.676, - 33591.181, - 32825.697, - 33951.976, - 34073.591 - ] - }, - { - "marker": { - "colorscale": [ - [ - 0, - "#440154" - ], - [ - 0.1111111111111111, - "#482878" - ], - [ - 0.2222222222222222, - "#3e4989" - ], - [ - 0.3333333333333333, - "#31688e" - ], - [ - 0.4444444444444444, - "#26828e" - ], - [ - 0.5555555555555556, - "#1f9e89" - ], - [ - 0.6666666666666666, - "#35b779" - ], - [ - 0.7777777777777778, - "#6ece58" - ], - [ - 0.8888888888888888, - "#b5de2b" - ], - [ - 1, - "#fde725" - ] - ] - }, - "name": "waste", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 2956.84946, - 6415.0873599999995, - 2170.589238, - 3195.09937383, - 3205.63743322, - 3537.0939467, - 3386.0081800000003, - 2833.373719, - 2850.5068370000004, - 3196.1432409999998, - 3183.017965, - 3294.908423, - 3907.800643, - 4226.006439000001, - 4815.086224000001, - 4670.965295, - 5097.933699, - 5076.866451000001, - 5468.699177, - 5937.996784, - 5923.991528, - 4272.5481629999995 - ] - }, - { - "marker": { - "colorscale": [ - [ - 0, - "#440154" - ], - [ - 0.1111111111111111, - "#482878" - ], - [ - 0.2222222222222222, - "#3e4989" - ], - [ - 0.3333333333333333, - "#31688e" - ], - [ - 0.4444444444444444, - "#26828e" - ], - [ - 0.5555555555555556, - "#1f9e89" - ], - [ - 0.6666666666666666, - "#35b779" - ], - [ - 0.7777777777777778, - "#6ece58" - ], - [ - 0.8888888888888888, - "#b5de2b" - ], - [ - 1, - "#fde725" - ] - ] - }, - "name": "solar", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 1.5470000000000002, - 14.4973, - 119.22666000000001, - 123.72728, - 880.923, - 1986.272, - 1993.346, - 2160.77, - 3780.13723, - 4867.699, - 6937.307 - ] - }, - { - "marker": { - "colorscale": [ - [ - 0, - "#440154" - ], - [ - 0.1111111111111111, - "#482878" - ], - [ - 0.2222222222222222, - "#3e4989" - ], - [ - 0.3333333333333333, - "#31688e" - ], - [ - 0.4444444444444444, - "#26828e" - ], - [ - 0.5555555555555556, - "#1f9e89" - ], - [ - 0.6666666666666666, - "#35b779" - ], - [ - 0.7777777777777778, - "#6ece58" - ], - [ - 0.8888888888888888, - "#b5de2b" - ], - [ - 1, - "#fde725" - ] - ] - }, - "name": "other", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 1.4012159999999998, - 0, - 0, - 1.9549310000000002, - 2.8565820000000004, - 4.391653, - 4.714911, - 2.515289, - 5.599465, - 3.4285659999999996, - 7.797902, - 6.164592000000001, - 0.7715519999999999, - 0.48091700000000004, - 0.5513950000000001, - -4.113 - ] - }, - { - "marker": { - "colorscale": [ - [ - 0, - "#440154" - ], - [ - 0.1111111111111111, - "#482878" - ], - [ - 0.2222222222222222, - "#3e4989" - ], - [ - 0.3333333333333333, - "#31688e" - ], - [ - 0.4444444444444444, - "#26828e" - ], - [ - 0.5555555555555556, - "#1f9e89" - ], - [ - 0.6666666666666666, - "#35b779" - ], - [ - 0.7777777777777778, - "#6ece58" - ], - [ - 0.8888888888888888, - "#b5de2b" - ], - [ - 1, - "#fde725" - ] - ] - }, - "name": "wind", - "stackgroup": "one", - "type": "scatter", - "x": [], - "y": [] - } - ], - "layout": { - "autosize": true, - "hovermode": "x", - "legend": { - "x": 0.01, - "xanchor": "left", - "y": 0.99, - "yanchor": "top" - }, - "margin": { - "b": 20, - "l": 20, - "r": 20, - "t": 20 - }, - "paper_bgcolor": "rgba(0, 0, 0, 0)", - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "xaxis": { - "autorange": true, - "range": [ - "2001-01-01", - "2022-01-01" - ], - "title": { - "text": "Years" - }, - "type": "date" - }, - "yaxis": { - "autorange": true, - "range": [ - 0, - 152632.50549263158 - ], - "title": { - "text": "Gigawatt Hours (Gwh)" - }, - "type": "linear" - } - } - }, - "image/png": "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", - "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "plot_state_generation(generation, \"GA\", publish=True, local=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 186, - "id": "e8c506a6-7128-4ee5-8d93-1702189a14de", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|█████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 51/51 [04:53<00:00, 5.75s/it]\n" - ] - } - ], - "source": [ - "from tqdm import tqdm\n", - "\n", - "for state in tqdm(generation.state.dropna().unique()):\n", - " plot_state_generation(generation, state, publish=True, local=False)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "6d988c1f-a488-4e03-ac2a-bc5b986cf427", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "5cc3bf3b-bdb2-4943-9e33-7fb14d522cfc", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "95fee36a-d16f-49ef-8d65-7542d10bb937", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": 118, - "id": "cb42c01f-4894-407b-8bc9-742ec80f99f1", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "states = sorted(generation.state.dropna().str.lower().unique())" - ] - }, - { - "cell_type": "code", - "execution_count": 123, - "id": "30ec3a42-e484-43c1-832d-04435c518dff", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "start_date = '2022-06-14'\n", - "end_date = '2024-10-07'\n", - "\n", - "# Create a Series of dates between the start and end dates\n", - "date_series = pd.date_range(start=start_date, end=end_date)" - ] - }, - { - "cell_type": "code", - "execution_count": 126, - "id": "235525dc-024d-48e0-b603-87a38da67ec5", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "847" - ] - }, - "execution_count": 126, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "len(date_series)" - ] - }, - { - "cell_type": "code", - "execution_count": 132, - "id": "c9282918-a2db-45be-84c1-b433a9579bf3", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import random\n", - "\n", - "n = len(date_series)\n", - "random_states = [random.choice(states) for _ in range(n)]\n", - "\n", - "pd.DataFrame({\"dates\": date_series.to_list(), \"states\": random_states}).to_csv(\"state_and_dates.csv\", index=False)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2a27cf89-80ee-4262-be16-df7dedb10689", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e66a2b7c-8b9b-4640-9636-309fd3a132b6", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "19c29db0-6c8c-47ad-a964-c4634fc89855", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "4e68e475-239f-4691-83bb-19b3ad801aff", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e8e3fd9d-c065-45d2-b755-2b8103d2f935", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "23cae7a6-dae8-45d2-909f-6d81358f983e", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "generation.state.unique()" - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "id": "415a6d97-9507-4101-83c6-dbeb96058606", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plotly.com" - }, - "data": [ - { - "name": "oil", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 1888755.903, - 331290.822, - 1591916.735, - 259657.49395, - 201049.1671, - 188802.68083, - 177650.35, - 116964.051, - 136516.543, - 121045.632, - 135724.837, - 91308.161, - 92236.29299999999, - 102092.944, - 100579.535, - 81940.733, - 74159.99799999999, - 61174.934, - 53918.453, - 48394.63, - 203517.027, - 200490.353 - ] - }, - { - "name": "gas", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 191110301.012, - 197967156.217, - 176385143.672, - 188930856.64488, - 200731367.35303, - 201556149.50011998, - 203132492.133, - 196647584.137, - 192715787.368, - 189586618.678, - 203281018.357, - 216900097.973, - 205295858.27199998, - 206815102.808, - 237596695.819, - 228490004.012, - 206983962.162, - 241739193.395, - 258467931.726, - 249130880.95, - 235076989.466, - 250234365.447 - ] - }, - { - "name": "coal", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 136013566.995, - 143136630.421, - 147580177.014, - 150130681.80562, - 149739669.06018, - 147991721.25795, - 148410142.583, - 148048396.24199998, - 140374685.912, - 150760267.595, - 158178690.491, - 139480978.974, - 150262808.92, - 148349666.371, - 120658026.989, - 121345413.82000001, - 134737908.688, - 111790780.848, - 91917203.389, - 78912915.575, - 88912252.088, - 85432342.692 - ] - }, - { - "name": "hydro", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 1200331, - 1123492.003, - 893937.003, - 1300608.996, - 1332560.005, - 661970.998, - 1644436.652, - 1039467.3600000001, - 1028657.3, - 1261832.23, - 563053.72, - 584474.42, - 480042.00000000006, - 379588, - 956410, - 1342005, - 1061997, - 1126378, - 1475490.8599999999, - 1045874.6100000001, - 1052297.26, - 426098.67000000004 - ] - }, - { - "name": "other", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 1954972.034, - 1939005.279, - 288029, - 655980.76362, - 890312.71279, - 989208.38073, - 884931.567, - 555856.844, - 309144.516, - 334333.60399999993, - 314658.657, - 292562.67000000004, - 272140.6, - 381027.197, - 736688.75, - 655869.6, - 525893.2, - 450770.5, - 508807.92000000004, - 433621, - 417652, - 368584.97 - ] - }, - { - "name": "solar", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - -5, - 8208, - 28639.000000000004, - 118265, - 144721.47, - 256890.31, - 400758.77, - 730810, - 2189126.71, - 3205647, - 4365125, - 8536923.24, - 14889012, - 22167875.78 - ] - }, - { - "name": "nuclear", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 38162863, - 35618004, - 33437484, - 40435372, - 38232493, - 41264278, - 40955030, - 40727370, - 41497617, - 41335248, - 39648457, - 38441017, - 38314996, - 39287443, - 39354677, - 42079445, - 38581401, - 41185739, - 41298007, - 41438705, - 40211257, - 41606955 - ] - }, - { - "name": "waste", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 1007570.771, - 1337330.302, - 561379.964, - 1108997.5772199999, - 1098402.61495, - 1147744.86839, - 1281229.253, - 1414072.609, - 1079397.857, - 1449894.088, - 1610698.8460000001, - 1689493.084, - 1722923.55, - 1808238.873, - 1437859.601, - 1685069.726, - 1578920.178, - 1591940.379, - 1452638.07, - 1377924.631, - 1271387.623, - 664241.619 - ] - }, - { - "name": "wind", - "stackgroup": "one", - "type": "scatter", - "x": [ - "2001-01-01T00:00:00", - "2002-01-01T00:00:00", - "2003-01-01T00:00:00", - "2004-01-01T00:00:00", - "2005-01-01T00:00:00", - "2006-01-01T00:00:00", - "2007-01-01T00:00:00", - "2008-01-01T00:00:00", - "2009-01-01T00:00:00", - "2010-01-01T00:00:00", - "2011-01-01T00:00:00", - "2012-01-01T00:00:00", - "2013-01-01T00:00:00", - "2014-01-01T00:00:00", - "2015-01-01T00:00:00", - "2016-01-01T00:00:00", - "2017-01-01T00:00:00", - "2018-01-01T00:00:00", - "2019-01-01T00:00:00", - "2020-01-01T00:00:00", - "2021-01-01T00:00:00", - "2022-01-01T00:00:00" - ], - "y": [ - 645867.3, - 2656104.42, - 2569852.893, - 3137689.999, - 4237208.998, - 6670515, - 9006382.998, - 16225021.7, - 19952995.31, - 26126311.95, - 30500199, - 31994944, - 35873620.94, - 39877998.07, - 44833365, - 57530784, - 67021657.001, - 75683313.186, - 83540699.003, - 92440997.418, - 99474215.514, - 113109099.008 - ] - } - ], - "layout": { - "autosize": true, - "legend": { - "x": 0.01, - "xanchor": "left", - "y": 0.99, - "yanchor": "top" - }, - "paper_bgcolor": "rgba(0, 0, 0, 0)", - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "xaxis": { - "autorange": true, - "range": [ - "2001-01-01", - "2022-01-01" - ], - "type": "date" - }, - "yaxis": { - "autorange": true, - "range": [ - 0, - 541273740.5673685 - ], - "type": "linear" - } - } - }, - "image/png": "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", - "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "'https://plotly.com/~bennett.norman/9/'" - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "state = \"TX\"\n", - "\n", - "state_generation = generation.query(\"state == @state\")\n", - "\n", - "\n", - "fuel_type_grp = state_generation.groupby([\"report_date\", \"fuel_type_code_pudl\"])[\"net_generation_mwh\"].sum().reset_index()\n", - "\n", - "traces = []\n", - "\n", - "for fuel_type in state_generation.fuel_type_code_pudl.unique():\n", - " fuel_type_net_gen = fuel_type_grp.query(\"fuel_type_code_pudl == @fuel_type\")\n", - " traces.append(go.Scatter(\n", - " x=fuel_type_net_gen.report_date,\n", - " y=fuel_type_net_gen.net_generation_mwh,\n", - " stackgroup=\"one\",\n", - " name=fuel_type\n", - " ))\n", - " \n", - "fig = go.Figure(data=traces)\n", - "# fig.update_layout(showlegend=False)\n", - "fig.update_layout(legend=dict(\n", - " yanchor=\"top\",\n", - " y=0.99,\n", - " xanchor=\"left\",\n", - " x=0.01\n", - "))\n", - "# fig.update_layout(\n", - "# margin=dict(l=20, r=20, t=20, b=20),\n", - "# )\n", - "fig.update_layout({\n", - "# \"plot_bgcolor\": \"rgba(0, 0, 0, 0)\",\n", - "\"paper_bgcolor\": \"rgba(0, 0, 0, 0)\",\n", - "})\n", - "\n", - "\n", - "fig.show()\n", - "py.plot(fig, filename = 'texas', auto_open=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "id": "e974a9ad-c89f-41b2-909b-203434323998", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Help on function plot in module chart_studio.plotly.plotly:\n", - "\n", - "plot(figure_or_data, validate=True, **plot_options)\n", - " Create a unique url for this plot in Plotly and optionally open url.\n", - " \n", - " plot_options keyword arguments:\n", - " filename (string) -- the name that will be associated with this figure\n", - " auto_open (default=True) -- Toggle browser options\n", - " True: open this plot in a new browser tab\n", - " False: do not open plot in the browser, but do return the unique url\n", - " sharing ('public' | 'private' | 'secret') -- Toggle who can view this\n", - " graph\n", - " - 'public': Anyone can view this graph. It will appear in your profile\n", - " and can appear in search engines. You do not need to be\n", - " logged in to Plotly to view this chart.\n", - " - 'private': Only you can view this plot. It will not appear in the\n", - " Plotly feed, your profile, or search engines. You must be\n", - " logged in to Plotly to view this graph. You can privately\n", - " share this graph with other Plotly users in your online\n", - " Plotly account and they will need to be logged in to\n", - " view this plot.\n", - " - 'secret': Anyone with this secret link can view this chart. It will\n", - " not appear in the Plotly feed, your profile, or search\n", - " engines. If it is embedded inside a webpage or an IPython\n", - " notebook, anybody who is viewing that page will be able to\n", - " view the graph. You do not need to be logged in to view\n", - " this plot.\n", - " world_readable (default=True) -- Deprecated: use \"sharing\".\n", - " Make this figure private/public\n", - "\n" - ] - } - ], - "source": [ - "help(py.plot)" - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "id": "1bb5cd2e-bddd-419c-8752-b1a7d58846a2", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "array(['hydro', 'oil', 'gas', 'coal', 'wind', 'waste', 'other', 'solar'],\n", - " dtype=object)" - ] - }, - "execution_count": 48, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "state_generation.fuel_type_code_pudl.unique()" - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "id": "389a88e4-517b-4afd-9159-61d2946c82a2", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/html": [ - "
\n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "
report_dateplant_id_eiaplant_id_pudlplant_name_eia_xutility_id_eiautility_id_pudlutility_name_eiaenergy_source_codefuel_type_code_pudlprime_mover_code...net_generation_mwhplant_name_eia_ycitycountylatitudelongitudestatestreet_addresszip_codetimezone
612001-01-01751293Hank Nikkels Plant 1599498Municipality of AnchorageNGgasUNK...22648.000Hank Nikkels Plant 1AnchorageAnchorage61.222100-149.866100AK821 E. 1st Ave99501America/Anchorage
752001-01-019646Beluga352263Chugach Electric Assn IncNGgasUNK...1859079.000BelugaBelugaKenai Peninsula61.186100-151.035600AKBeluga Power Plant99682America/Anchorage
34152001-01-0162921070Bernice Lake352263Chugach Electric Assn IncNGgasGT...114102.000Bernice LakeNikiskiKenai Peninsula60.693500-151.387400AK53318 Chevron Refinery Road99635America/Anchorage
34172001-01-016293285International352263Chugach Electric Assn IncNGgasGT...2035.000InternationalAnchorageAnchorage61.168972-149.911000AK5601 Electron Dr.99518America/Anchorage
35362001-01-0165592639George M Sullivan599498Municipality of AnchorageNGgasUNK...806240.000George M SullivanAnchorageAnchorage61.229713-149.716700AKNone99504America/Anchorage
..................................................................
2380982022-01-01572065519Soldotna195582023Homer Electric Assn IncNGgasGT...16561.000SoldotnaSoldotnaKenai Peninsula60.499444-150.997200AK41925 Sterling Highway99669America/Anchorage
2388582022-01-01581176230TNSG South Plant574943415TDX North Slope Generating Inc.NGgasIC...-309.000TNSG South PlantDeadhorseNorth Slope70.200000-148.466700AK100 Power Plant Way99374America/Anchorage
2390392022-01-01582786364TNSG North Plant574943415TDX North Slope Generating Inc.NGgasGT...49378.000TNSG North PlantDeadhorseNorth Slope70.235278-148.383600AK100 Power Plant Way99374America/Anchorage
2391352022-01-01583806452JBER Landfill Gas Power Plant583681519Doyon Utilities, LLCNGgasIC...7.212JBER Landfill Gas Power PlantAnchorageAnchorage61.286000-149.611667AK58900 Davis Highway99505America/Anchorage
2396402022-01-01589896904Eklutna Generation Station118242378Matanuska Electric Assn IncNGgasIC...531626.000Eklutna Generation StationChugiakAnchorage61.457778-149.351400AK28705 Denaina Elders Road99567America/Anchorage
\n", - "

398 rows × 25 columns

\n", - "
" - ], - "text/plain": [ - " report_date plant_id_eia plant_id_pudl \\\n", - "61 2001-01-01 75 1293 \n", - "75 2001-01-01 96 46 \n", - "3415 2001-01-01 6292 1070 \n", - "3417 2001-01-01 6293 285 \n", - "3536 2001-01-01 6559 2639 \n", - "... ... ... ... \n", - "238098 2022-01-01 57206 5519 \n", - "238858 2022-01-01 58117 6230 \n", - "239039 2022-01-01 58278 6364 \n", - "239135 2022-01-01 58380 6452 \n", - "239640 2022-01-01 58989 6904 \n", - "\n", - " plant_name_eia_x utility_id_eia utility_id_pudl \\\n", - "61 Hank Nikkels Plant 1 599 498 \n", - "75 Beluga 3522 63 \n", - "3415 Bernice Lake 3522 63 \n", - "3417 International 3522 63 \n", - "3536 George M Sullivan 599 498 \n", - "... ... ... ... \n", - "238098 Soldotna 19558 2023 \n", - "238858 TNSG South Plant 57494 3415 \n", - "239039 TNSG North Plant 57494 3415 \n", - "239135 JBER Landfill Gas Power Plant 58368 1519 \n", - "239640 Eklutna Generation Station 11824 2378 \n", - "\n", - " utility_name_eia energy_source_code \\\n", - "61 Municipality of Anchorage NG \n", - "75 Chugach Electric Assn Inc NG \n", - "3415 Chugach Electric Assn Inc NG \n", - "3417 Chugach Electric Assn Inc NG \n", - "3536 Municipality of Anchorage NG \n", - "... ... ... \n", - "238098 Homer Electric Assn Inc NG \n", - "238858 TDX North Slope Generating Inc. NG \n", - "239039 TDX North Slope Generating Inc. NG \n", - "239135 Doyon Utilities, LLC NG \n", - "239640 Matanuska Electric Assn Inc NG \n", - "\n", - " fuel_type_code_pudl prime_mover_code ... net_generation_mwh \\\n", - "61 gas UNK ... 22648.000 \n", - "75 gas UNK ... 1859079.000 \n", - "3415 gas GT ... 114102.000 \n", - "3417 gas GT ... 2035.000 \n", - "3536 gas UNK ... 806240.000 \n", - "... ... ... ... ... \n", - "238098 gas GT ... 16561.000 \n", - "238858 gas IC ... -309.000 \n", - "239039 gas GT ... 49378.000 \n", - "239135 gas IC ... 7.212 \n", - "239640 gas IC ... 531626.000 \n", - "\n", - " plant_name_eia_y city county latitude \\\n", - "61 Hank Nikkels Plant 1 Anchorage Anchorage 61.222100 \n", - "75 Beluga Beluga Kenai Peninsula 61.186100 \n", - "3415 Bernice Lake Nikiski Kenai Peninsula 60.693500 \n", - "3417 International Anchorage Anchorage 61.168972 \n", - "3536 George M Sullivan Anchorage Anchorage 61.229713 \n", - "... ... ... ... ... \n", - "238098 Soldotna Soldotna Kenai Peninsula 60.499444 \n", - "238858 TNSG South Plant Deadhorse North Slope 70.200000 \n", - "239039 TNSG North Plant Deadhorse North Slope 70.235278 \n", - "239135 JBER Landfill Gas Power Plant Anchorage Anchorage 61.286000 \n", - "239640 Eklutna Generation Station Chugiak Anchorage 61.457778 \n", - "\n", - " longitude state street_address zip_code \\\n", - "61 -149.866100 AK 821 E. 1st Ave 99501 \n", - "75 -151.035600 AK Beluga Power Plant 99682 \n", - "3415 -151.387400 AK 53318 Chevron Refinery Road 99635 \n", - "3417 -149.911000 AK 5601 Electron Dr. 99518 \n", - "3536 -149.716700 AK None 99504 \n", - "... ... ... ... ... \n", - "238098 -150.997200 AK 41925 Sterling Highway 99669 \n", - "238858 -148.466700 AK 100 Power Plant Way 99374 \n", - "239039 -148.383600 AK 100 Power Plant Way 99374 \n", - "239135 -149.611667 AK 58900 Davis Highway 99505 \n", - "239640 -149.351400 AK 28705 Denaina Elders Road 99567 \n", - "\n", - " timezone \n", - "61 America/Anchorage \n", - "75 America/Anchorage \n", - "3415 America/Anchorage \n", - "3417 America/Anchorage \n", - "3536 America/Anchorage \n", - "... ... \n", - "238098 America/Anchorage \n", - "238858 America/Anchorage \n", - "239039 America/Anchorage \n", - "239135 America/Anchorage \n", - "239640 America/Anchorage \n", - "\n", - "[398 rows x 25 columns]" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "state_generation.query(\"fuel_type_code_pudl == 'gas'\")" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "id": "d695bea7-b99a-4186-a686-4ba515aca9c1", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "report_date\n", - "2001-01-01 5819.696888\n", - "2002-01-01 6462.460237\n", - "2003-01-01 6094.181052\n", - "2004-01-01 6526.716862\n", - "2005-01-01 6576.658543\n", - "2006-01-01 6674.196774\n", - "2007-01-01 6821.391618\n", - "2008-01-01 6765.932402\n", - "2009-01-01 6702.159389\n", - "2010-01-01 6747.178381\n", - "2011-01-01 6853.178050\n", - "2012-01-01 6928.294496\n", - "2013-01-01 6497.078642\n", - "2014-01-01 6045.142639\n", - "2015-01-01 6270.284520\n", - "2016-01-01 6335.033507\n", - "2017-01-01 6497.465600\n", - "2018-01-01 6244.300160\n", - "2019-01-01 6068.242190\n", - "2020-01-01 6156.047440\n", - "2021-01-01 6595.818060\n", - "2022-01-01 6659.835380\n", - "Name: net_generation_mwh, dtype: float64" - ] - }, - "execution_count": 59, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# https://www.eia.gov/electricity/data/browser/#/topic/0?agg=2,0,1&fuel=vtvv&geo=000000000000g&sec=g&freq=A&start=2001&end=2022&ctype=linechart<ype=pin&rtype=s&pin=&rse=0&maptype=0\n", - "state_generation.groupby([\"report_date\"])[\"net_generation_mwh\"].sum() / 1_000" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "48b0039a-cdd8-4af0-9dd0-e46a0fec8e5c", - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "id": "ab7c0781-d440-4813-87aa-c43cac75b600", - "metadata": {}, - "source": [ - "## Plotly" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "3b79613a-c11f-4170-b145-d6dfccbd4e05", - "metadata": { - "tags": [] - }, - "outputs": [], - "source": [ - "import chart_studio\n", - "chart_studio.tools.set_credentials_file(username='bennett.norman', api_key='shwjKyNUPuEoVXoTZzBk')" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "id": "2443ff03-5102-46f4-a1a5-6f44b25cf6ab", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "text/plain": [ - "'https://plotly.com/~bennett.norman/4/'" - ] - }, - "execution_count": 23, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import chart_studio.plotly as py\n", - "import plotly.graph_objects as go\n", - "\n", - "trace0 = go.Scatter(\n", - " x=[1, 2, 3, 4],\n", - " y=[10, 15, 13, 17],\n", - " stackgroup=\"one\",\n", - " name=\"coal\"\n", - ")\n", - "trace1 = go.Scatter(\n", - " x=[1, 2, 3, 4],\n", - " y=[16, 5, 11, 9],\n", - " stackgroup=\"one\",\n", - " name=\"solar\"\n", - ")\n", - "data = [trace0, trace1]\n", - "\n", - "\n", - "\n", - "fig = go.Figure(data=data)\n", - "# fig.update_layout(showlegend=False)\n", - "fig.update_layout(legend=dict(\n", - " yanchor=\"top\",\n", - " y=0.99,\n", - " xanchor=\"left\",\n", - " x=0.01\n", - "))\n", - "fig.update_layout(\n", - " margin=dict(l=20, r=20, t=20, b=20),\n", - ")\n", - "fig.update_layout({\n", - "# \"plot_bgcolor\": \"rgba(0, 0, 0, 0)\",\n", - "\"paper_bgcolor\": \"rgba(0, 0, 0, 0)\",\n", - "})\n", - "\n", - "\n", - "# fig.show()\n", - "py.plot(fig, filename = 'state_code', auto_open=True)" - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "id": "5b6a3f95-242e-4dd6-bfb7-4f4cda1a1f77", - "metadata": { - "tags": [] - }, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plotly.com" - }, - "data": [ - { - "alignmentgroup": "True", - "hovertemplate": "smoker=No
sex=%{x}
total_bill=%{y}", - "legendgroup": "No", - "marker": { - "color": "#636efa", - "pattern": { - "shape": "" - } - }, - "name": "No", - "offsetgroup": "No", - "orientation": "v", - "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "Female", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Female", - "Male", - "Female", - "Male", - "Female", - "Male", - "Male", - "Female", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Female", - "Female", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Female", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Female", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male", - "Female", - "Male", - "Male", - "Female", - "Male", - "Male", - "Female", - "Female", - "Male", - "Female", - "Female", - "Female", - "Male", - "Female", - "Male", - "Male", - "Female", - "Female", - "Male", - "Female", - "Female", - "Male", - "Male", - "Female", - "Female", - "Female", - "Female", - "Female", - "Female", - "Female", - "Female", - "Female", - "Male", - "Male", - "Female", - "Female", - "Female", - "Female", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male", - "Female", - "Female", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Female" - ], - "xaxis": "x", - "y": [ - 16.99, - 10.34, - 21.01, - 23.68, - 24.59, - 25.29, - 8.77, - 26.88, - 15.04, - 14.78, - 10.27, - 35.26, - 15.42, - 18.43, - 14.83, - 21.58, - 10.33, - 16.29, - 16.97, - 20.65, - 17.92, - 20.29, - 15.77, - 39.42, - 19.82, - 17.81, - 13.37, - 12.69, - 21.7, - 19.65, - 9.55, - 18.35, - 15.06, - 20.69, - 17.78, - 24.06, - 16.31, - 16.93, - 18.69, - 31.27, - 16.04, - 17.46, - 13.94, - 9.68, - 30.4, - 18.29, - 22.23, - 32.4, - 28.55, - 18.04, - 12.54, - 10.29, - 34.81, - 9.94, - 25.56, - 19.49, - 26.41, - 48.27, - 17.59, - 20.08, - 16.45, - 20.23, - 12.02, - 17.07, - 14.73, - 10.51, - 27.2, - 22.76, - 17.29, - 16.66, - 10.07, - 15.98, - 34.83, - 13.03, - 18.28, - 24.71, - 21.16, - 22.49, - 22.75, - 12.46, - 20.92, - 18.24, - 14, - 7.25, - 38.07, - 23.95, - 25.71, - 17.31, - 29.93, - 10.65, - 12.43, - 24.08, - 11.69, - 13.42, - 14.26, - 15.95, - 12.48, - 29.8, - 8.52, - 14.52, - 11.38, - 22.82, - 19.08, - 20.27, - 11.17, - 12.26, - 18.26, - 8.51, - 10.33, - 14.15, - 13.16, - 17.47, - 34.3, - 41.19, - 27.05, - 16.43, - 8.35, - 18.64, - 11.87, - 9.78, - 7.51, - 14.07, - 13.13, - 17.26, - 24.55, - 19.77, - 29.85, - 48.17, - 25, - 13.39, - 16.49, - 21.5, - 12.66, - 16.21, - 13.81, - 24.52, - 20.76, - 31.71, - 20.69, - 7.56, - 48.33, - 15.98, - 20.45, - 13.28, - 11.61, - 10.77, - 10.07, - 35.83, - 29.03, - 17.82, - 18.78 - ], - "yaxis": "y" - }, - { - "alignmentgroup": "True", - "hovertemplate": "smoker=Yes
sex=%{x}
total_bill=%{y}", - "legendgroup": "Yes", - "marker": { - "color": "#EF553B", - "pattern": { - "shape": "" - } - }, - "name": "Yes", - "offsetgroup": "Yes", - "orientation": "v", - "showlegend": true, - "textposition": "auto", - "type": "bar", - "x": [ - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male", - "Female", - "Female", - "Male", - "Male", - "Male", - "Male", - "Female", - "Female", - "Male", - "Male", - "Male", - "Male", - "Female", - "Female", - "Female", - "Female", - "Male", - "Male", - "Male", - "Female", - "Male", - "Female", - "Female", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male", - "Female", - "Male", - "Male", - "Female", - "Male", - "Male", - "Male", - "Male", - "Female", - "Female", - "Male", - "Male", - "Female", - "Female", - "Female", - "Male", - "Female", - "Male", - "Male", - "Male", - "Female", - "Male", - "Male", - "Female", - "Female", - "Female", - "Male", - "Male", - "Male", - "Female", - "Male", - "Female", - "Male", - "Male", - "Female", - "Female", - "Female", - "Male", - "Male", - "Male", - "Male", - "Male", - "Female", - "Male" - ], - "xaxis": "x", - "y": [ - 38.01, - 11.24, - 20.29, - 13.81, - 11.02, - 18.29, - 3.07, - 15.01, - 26.86, - 25.28, - 17.92, - 19.44, - 32.68, - 28.97, - 5.75, - 16.32, - 40.17, - 27.28, - 12.03, - 21.01, - 11.35, - 15.38, - 44.3, - 22.42, - 15.36, - 20.49, - 25.21, - 14.31, - 16, - 17.51, - 10.59, - 10.63, - 50.81, - 15.81, - 7.25, - 31.85, - 16.82, - 32.9, - 17.89, - 14.48, - 9.6, - 34.63, - 34.65, - 23.33, - 45.35, - 23.17, - 40.55, - 20.9, - 30.46, - 18.15, - 23.1, - 15.69, - 19.81, - 28.44, - 15.48, - 16.58, - 10.34, - 43.11, - 13, - 13.51, - 18.71, - 12.74, - 13, - 16.4, - 20.53, - 16.47, - 26.59, - 38.73, - 24.27, - 12.76, - 30.06, - 25.89, - 13.27, - 28.17, - 12.9, - 28.15, - 11.59, - 7.74, - 30.14, - 12.16, - 13.42, - 8.58, - 13.42, - 16.27, - 10.09, - 22.12, - 24.01, - 15.69, - 15.53, - 12.6, - 32.83, - 27.18, - 22.67 - ], - "yaxis": "y" - } - ], - "layout": { - "autosize": true, - "barmode": "group", - "legend": { - "title": { - "text": "smoker" - }, - "tracegroupgap": 0 - }, - "margin": { - "t": 60 - }, - "paper_bgcolor": "rgba(0, 0, 0, 0)", - "plot_bgcolor": "rgba(0, 0, 0, 0)", - "template": { - "data": { - "bar": [ - { - "error_x": { - "color": "#2a3f5f" - }, - "error_y": { - "color": "#2a3f5f" - }, - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "bar" - } - ], - "barpolar": [ - { - "marker": { - "line": { - "color": "#E5ECF6", - "width": 0.5 - }, - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "barpolar" - } - ], - "carpet": [ - { - "aaxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "baxis": { - "endlinecolor": "#2a3f5f", - "gridcolor": "white", - "linecolor": "white", - "minorgridcolor": "white", - "startlinecolor": "#2a3f5f" - }, - "type": "carpet" - } - ], - "choropleth": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "choropleth" - } - ], - "contour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "contour" - } - ], - "contourcarpet": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "contourcarpet" - } - ], - "heatmap": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmap" - } - ], - "heatmapgl": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "heatmapgl" - } - ], - "histogram": [ - { - "marker": { - "pattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - } - }, - "type": "histogram" - } - ], - "histogram2d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2d" - } - ], - "histogram2dcontour": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "histogram2dcontour" - } - ], - "mesh3d": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "type": "mesh3d" - } - ], - "parcoords": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "parcoords" - } - ], - "pie": [ - { - "automargin": true, - "type": "pie" - } - ], - "scatter": [ - { - "fillpattern": { - "fillmode": "overlay", - "size": 10, - "solidity": 0.2 - }, - "type": "scatter" - } - ], - "scatter3d": [ - { - "line": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatter3d" - } - ], - "scattercarpet": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattercarpet" - } - ], - "scattergeo": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergeo" - } - ], - "scattergl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattergl" - } - ], - "scattermapbox": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scattermapbox" - } - ], - "scatterpolar": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolar" - } - ], - "scatterpolargl": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterpolargl" - } - ], - "scatterternary": [ - { - "marker": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "type": "scatterternary" - } - ], - "surface": [ - { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - }, - "colorscale": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "type": "surface" - } - ], - "table": [ - { - "cells": { - "fill": { - "color": "#EBF0F8" - }, - "line": { - "color": "white" - } - }, - "header": { - "fill": { - "color": "#C8D4E3" - }, - "line": { - "color": "white" - } - }, - "type": "table" - } - ] - }, - "layout": { - "annotationdefaults": { - "arrowcolor": "#2a3f5f", - "arrowhead": 0, - "arrowwidth": 1 - }, - "autotypenumbers": "strict", - "coloraxis": { - "colorbar": { - "outlinewidth": 0, - "ticks": "" - } - }, - "colorscale": { - "diverging": [ - [ - 0, - "#8e0152" - ], - [ - 0.1, - "#c51b7d" - ], - [ - 0.2, - "#de77ae" - ], - [ - 0.3, - "#f1b6da" - ], - [ - 0.4, - "#fde0ef" - ], - [ - 0.5, - "#f7f7f7" - ], - [ - 0.6, - "#e6f5d0" - ], - [ - 0.7, - "#b8e186" - ], - [ - 0.8, - "#7fbc41" - ], - [ - 0.9, - "#4d9221" - ], - [ - 1, - "#276419" - ] - ], - "sequential": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ], - "sequentialminus": [ - [ - 0, - "#0d0887" - ], - [ - 0.1111111111111111, - "#46039f" - ], - [ - 0.2222222222222222, - "#7201a8" - ], - [ - 0.3333333333333333, - "#9c179e" - ], - [ - 0.4444444444444444, - "#bd3786" - ], - [ - 0.5555555555555556, - "#d8576b" - ], - [ - 0.6666666666666666, - "#ed7953" - ], - [ - 0.7777777777777778, - "#fb9f3a" - ], - [ - 0.8888888888888888, - "#fdca26" - ], - [ - 1, - "#f0f921" - ] - ] - }, - "colorway": [ - "#636efa", - "#EF553B", - "#00cc96", - "#ab63fa", - "#FFA15A", - "#19d3f3", - "#FF6692", - "#B6E880", - "#FF97FF", - "#FECB52" - ], - "font": { - "color": "#2a3f5f" - }, - "geo": { - "bgcolor": "white", - "lakecolor": "white", - "landcolor": "#E5ECF6", - "showlakes": true, - "showland": true, - "subunitcolor": "white" - }, - "hoverlabel": { - "align": "left" - }, - "hovermode": "closest", - "mapbox": { - "style": "light" - }, - "paper_bgcolor": "white", - "plot_bgcolor": "#E5ECF6", - "polar": { - "angularaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "radialaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "scene": { - "xaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "yaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - }, - "zaxis": { - "backgroundcolor": "#E5ECF6", - "gridcolor": "white", - "gridwidth": 2, - "linecolor": "white", - "showbackground": true, - "ticks": "", - "zerolinecolor": "white" - } - }, - "shapedefaults": { - "line": { - "color": "#2a3f5f" - } - }, - "ternary": { - "aaxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "baxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - }, - "bgcolor": "#E5ECF6", - "caxis": { - "gridcolor": "white", - "linecolor": "white", - "ticks": "" - } - }, - "title": { - "x": 0.05 - }, - "xaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - }, - "yaxis": { - "automargin": true, - "gridcolor": "white", - "linecolor": "white", - "ticks": "", - "title": { - "standoff": 15 - }, - "zerolinecolor": "white", - "zerolinewidth": 2 - } - } - }, - "xaxis": { - "anchor": "y", - "autorange": true, - "domain": [ - 0, - 1 - ], - "range": [ - -0.5, - 1.5 - ], - "title": { - "text": "sex" - }, - "type": "category" - }, - "yaxis": { - "anchor": "x", - "autorange": true, - "domain": [ - 0, - 1 - ], - "range": [ - 0, - 2020.7894736842102 - ], - "title": { - "text": "total_bill" - }, - "type": "linear" - } - } - }, - "image/png": "iVBORw0KGgoAAAANSUhEUgAABOEAAAFoCAYAAAARou9cAAAAAXNSR0IArs4c6QAAIABJREFUeF7s3Xt8VOWd+PHnOZPLJCEkigqJBQSpMLGCEG65zQRF8Vq1FW0VErUVa22367YFtotdd7e71n1t292fvSh91ZJgZSvWahUrijKZJJDbJFxkhiAKBEVEFMhlMrnMeX6vSQ3LTQ1wTjJnzid/AXPm+3y/7+dRhu885zxS8IMAAggggAACCCCAAAIIIIAAAggggAACpgpIU6MTHAEEEEAAAQQQQAABBBBAAAEEEEAAAQQETTgWAQIIIIAAAggggAACCCCAAAIIIIAAAiYL0IQzGZjwCCCAAAIIIIAAAggggAACCCCAAAII0IRjDSCAAAIIIIAAAggggAACCCCAAAIIIGCyAE04k4EJjwACCCCAAAIIIIAAAggggAACCCCAAE041gACCCCAAAIIIIAAAggggAACCCCAAAImC9CEMxmY8AgggAACCCCAAAIIIIAAAggggAACCNCEYw0ggAACCCCAAAIIIIAAAggggAACCCBgsgBNOJOBCY8AAggggAACCCCAAAIIIIAAAggggABNONYAAggggAACCCCAAAIIIIAAAggggAACJgvQhDMZmPAIIIAAAggggAACCCCAAAIIIIAAAgjQhGMNIIAAAggggAACCCCAAAIIIIAAAgggYLIATTiTgQmPAAIIIIAAAggggAACCCCAAAIIIIAATTjWAAIIIIAAAggggAACCCCAAAIIIIAAAiYL0IQzGZjwCCCAAAIIIIAAAggggAACCCCAAAII0IRjDSCAAAIIIIAAAggggAACCCCAAAIIIGCyAE04k4EJjwACCCCAAAIIIIAAAggggAACCCCAAE041gACCCCAAAIIIIAAAggggAACCCCAAAImC9CEMxmY8AgggAACCCCAAAIIIIAAAggggAACCNCEYw0ggAACCCCAAAIIIIAAAggggAACCCBgsgBNOJOBCY8AAggggAACCCCAAAIIIIAAAggggABNONYAAggggAACCCCAAAIIIIAAAggggAACJgvQhDMZmPAIIIAAAggggAACCCCAAAIIIIAAAgjQhGMNIIAAAggggAACCCCAAAIIIIAAAgggYLIATTiTgQmPAAIIIIAAAggggAACCCCAAAIIIIAATTjWAAIIIIAAAggggAACCCCAAAIIIIAAAiYL0IQzGZjwCCCAAAIIIIAAAggggAACCCCAAAII0IRjDSCAAAIIIIAAAggggAACCCCAAAIIIGCyAE04k4EJjwACCCCAAAIIIIAAAggggAACCCCAAE041gACCCCAAAIIIIAAAggggAACCCCAAAImC9CEMxmY8AgggAACCCCAAAIIIIAAAggggAACCNCEYw0ggAACCCCAAAIIIIAAAggggAACCCBgsgBNOJOBCY8AAggggAACCCCAAAIIIIAAAggggABNONYAAggggAACCCCAAAIIIIAAAggggAACJgvQhDMZmPAIIIAAAggggAACCCCAAAIIIIAAAgjQhGMNIIAAAggggAACCCCAAAIIIIAAAgggYLIATTiTgQmPAAIIIIAAAggggAACCCCAAAIIIIAATTjWAAIIIIAAAggggAACCCCAAAIIIIAAAiYL0IQzGZjwCCCAAAIIIIAAAggggAACCCCAAAII0IRjDSCAAAIIIIAAAggggAACCCCAAAIIIGCyAE04k4EJjwACCCCAAAIIIIAAAggggAACCCCAAE041gACCCCAAAIIIIAAAggggAACCCCAAAImC9CEMxmY8AgggAACCCCAAAIIIIAAAggggAACCNCEYw0ggAACCCCAAAIIIIAAAggggAACCCBgsgBNOJOBCY8AAggggAACCCCAAAIIIIAAAggggABNONYAAggggAACCCCAAAIIIIAAAggggAACJgvQhDMZmPAIIIAAAggggAACCCCAAAIIIIAAAgjQhGMNIIAAAggggAACCCCAAAIIIIAAAgggYLIATTiTgQmPAAIIIIAAAggggAACCCCAAAIIIIAATTjWAAIIIIAAAggggAACCCCAAAIIIIAAAiYL0IQzGZjwCCCAAAIIIIAAAggggAACCCCAAAII0IRjDSCAAAIIIIAAAggggAACCCCAAAIIIGCyAE04k4EJjwACCCCAAAIIIIAAAggggAACCCCAAE041gACCCCAAAIIIIAAAggggAACCCCAAAImC9CEMxmY8AgggAACCCCAAAIIIIAAAggggAACCMRRE+5hbdys5vMjibK7perpQ6ea2pziu0Ydbktq3edfHjr59Ye1CcVvZe8U7+0XXm/via+Pz52fkZCekLjDu+ogywYBBBBAAAEEEEAAAQQQQAABBBBAAIHTEYiLJpyrsGSu0ORzUor0aPFKCK8u9R82e1c2RH+fU7xggtK1NVLKS/peV+J3wY7k+4V/eU/0966i0uuFFKv6368rcd92X9nyv713/jChpzwlpLzpk9g1UspbAt4V+08HmmsRQAABBBBAAAEEEEAAAQQQQAABBOwrEBdNuInuhVc4lMxuV71rnJGE1IQk+RulhBb0ld3Q10hzl7wipGg93O68K90ZGq05HPVSqW8HKsufys5dlJqR1rVfSPHPQbnnMZcac6MU8rmI0sc3+1bucrlLlkghF0UijqKecFuHMy11jRJie9BX9k37LhsqRwABBBBAAAEEEEAAAQQQQAABBBA4HYG4aMKdWHBOUckCocmVAbkncUxvdvowR+LHuooUbPc9teGTptxjQojRAV/5zdFdcFITL3W/d8C5c+dfu6Kvu9wlzVKKXwYqyh9zuUv9Suirt/tW/rTvvZ6F84XQnglUlGl/23THDwIIIIAAAggggAACCCCAAAIIIIAAAp8tEJdNOJenpFwoeWnQV5abU3RnjtAStik9kh2sfOr9T5ps3xNClkRfn+QuXSSF+n7QVz6xnyrHXfK8UrI5WFm2xOUubdWVuqe5svzZvvcWLZgmNYe/PdJz7qc9e45FhwACCCCAAAIIIIAAAggggAACCCCAwLECcdeE698FpyLqqmBV+bpJ7gX5mnRUH9s0izbeNKkeClSUj47ebiqEvC3akOuHcXlKV0klWgO+sm/leEp1pYsbgpVla6Kv9zf1RK8+NlC9skUp5WFJIYAAAgMQiD6DMnEA13EJAggggAACCCAwEAE+WwxEiWsQQEBIKStgiA2BuGrCTXKXXq1JsVYo9a2Ar/yJ45pmUmb1H6bgcpec1k44pcTd2yvL/hSNd+JOOKWUNzamkiwQQCDGBXYKISbEeI6khwACCCCAAALWEeCzhXXmikwRGFIBKWXxkCbA4EcF4qYJ1/+sNl3X795euXJFf4VjCu8458RnwrncJb+SQlx47DPhxIeh5EBgdXdf485d+raQ6r/7nwknhHom6Ct/tO81ngnHfz4IIIAAAggggAACCCCAAAIIIIAAAqcpEBdNOJe7tERKUaaU+nulaS/0G2ii42DAu7rd5Sl9VShx6EhH8t0nno46cvLCtBHnaO1K1x8MOvb+8sTTUSe5Fy7VhHZv9HTUSG9Xe1Jywsucjnqaq4zLEUAAAQQQQAABBBBAAAEEEEAAAZsLxEcTzlP6aynE/aeYy3sCFWW/n1iwYKLD4XhZSDH+k2tWiA9D9/XvfJvoLv2yQ4qjzTsl1APBivJfR6+dWHBPuuaIrJJSXN/3XiXqIxHHzc3VT+6z+dqhfAQQQAABBBBAAAEEEEAAAQQQQACBAQrERRNugLWKS/JKLpRaQmtz9ZNtJ79nvmNScdpo7UDHvv7m3LHX9N3WmpCU3P9cuYGOyXUIIIAAAggggAACCCCAAAIIIIAAAgjYqgnHdCOAAAIIIIAAAggggAACCCCAAAIIWF3gYS3HvcunlPyvYOWK561SDU04q8wUeSKAAAIIIIAAAggggAACCCCAAAIICCHmO3I8qb26Evdt95UttwoJTTirzBR5IoAAAggggAACCCCAAAIIIIAAAgjQhGMNIIAAAggggAACCCBwKoF9hzrHSiEuQgcBBIwTUELszj4nZY9xEYmEAAIInJnAhAnXJidmn7dMCHmbEDJLCrFXCfVi0Fe+NDt3UWpmWterSohVUiqPUvKavteVWKyU2K9p6t+VkPlCqnVCav8Z9K6o6c8ip6hkgZLih1LKyUqpLVLI/wz4yv7wt9dP3gmX4ym5Vij5T0rqTwQrVq6MXuPypP6dVOKbQoqcaAxdiX9rrix/Nhohp2jht5TU5kjV+y9KS/iOEMIlpf5QwLuy6swkPv9d7IT7fCOuQAABBBBAAAEEEDgLgfU1nRurN2izzyIEb0UAgRMECvL1mjmzU/KAQQABBIZaIKeo9F+EJn4slPiBkuodqcQUJeQ/BH1lw8fnzs9wDks9HM1RCbVSCFEjhFwohej7XKCE+q1QcrMQapEUMiHgK7s0+ueTPKVf14R4Wii1VgjxjBDiNiHlPKXLrwcrV/zviU04V2HJXOmQrykhfhOsGPcdIR7WXe6Snwohvy2E+rWQojbaJJRCfE1JmRdt9kVfl1Iu6ctDiUohxXtK1x/fXrmywixTmnBmyRIXAQQQQAABBBBAoE/AWxturKnRpsKBAALGCcyerTcVz3JOMy4ikRBAAIEzE8jxlLyslLg46Bvvija/olGiO+D2+ZeH+ptwSonvBH1lv4q+5iq+a7ZUauP/NdSE6NvFJuTL3bJ39E7vH951uUuahZDtQV9Zbn9WLnfJZiGEM+grn3hsE04KsV1KUaGU+nXQN/670Rwuzl94QXKi9oESYkmwouw/+2IUFye49LEfCyF+F/SVPdjfpNOVKmyuLN9yZtWf3rtowp2eF1cjgAACCCCAAAIInKZAlT/csHmrPPoh+jTfzuUIIHAKgSmXKX9hrnM6OAgggMBQC0xyly7SpHhCKPGOkuIFqauKQGXnS0Ksjhxtwh3dwSbEFwvvGJ/oSHw7EpHXNleteKWvMVe0YJrUHH4R0WeHEhybU5XqFEr9NOAr/8djmnB9O9e63zvg3LlzWG/0YAalxDNSituUUk8GfeXf7NtcF43nLnVHG3N9OQnRtxMv+iOliH558WKgouzLfTvhhJwf8JVdPFiGNOEGS5pxEEAAAQQQQAABmwq84utcv/pZR7FNy6dsBEwRmH9rxHuNO2WOKcEJigACCJymQE7xwkKly29KKa4UQn5BKFEf8JXNGp87f3j0dtRjd7258u8YKxMTdx/bhLukcMGUBIdjU7QJF1GJAUdCpFUI9U+BivL/ONqE85Q8JIX818PtyWn7/Ie6ok246GtKibboc+ZET0JRYOPvojvdxMTCu65xONRfdV19V9PE28eW0yu0gzsqVtTThDvNSeZyBBBAAAEEEEAAgdgX8NZ01r++XmPHTuxPFRlaSODKOXpD8eyUGRZKmVQRQCBuBeY7orvePilP5hQtvE9o2m+UHsntCnW9fbpNuEDVytocd8kHSspAsKLs6JcNLnepTwo1MeArH9l/O6rQxb8K0ftHJRNqhBTbpAxdFfCubp+QX3pxUqLYKZT6VsBX/sQJ9NENaYomXNwuSApDAAEEEEAAAQTsK1C7tXPbvvccOfYVoHIEjBfIvjASmHVZSt8DzPlBAAEEhlIgx13yui7FGinVq0J3dEmhfiCkWBTpdVzYE27rOJMm3CT3wqWa1B5RSv+JUOrPQtNulkI+pJRaGvSVP3riwQw5hQtnCYdWEz3IoXvfhzft3PnXLpen5Dkp5C1KV/fqul6pORwjhVDXSSn1QEXZj2jCDeWqYWwEEEAAAQQQQAABUwQqG7v9H34gxpkSnKAI2FTg/JFiV9G0JJ61aNP5p2wEYknAVVT6qNTE4v6coieN6kL8V7Ov7C8TZt05PMmZcOS4QxgKFo4RCdoeXYl5231lr0bfN7GoZLJDk5uFrmYFKsvrJky4Njkh+4L/1KT4u2Pi/nfPvgNLow02IR7Wcjy7IrrQF22vWPnb6DWT3KVXa1KsjT4nLugru31M4R3npGmJ/yGl+NZRL6UOKCH+Lugr/2OOu+SR6ImpPBMullYTuSCAAAIIIIAAAgiclUBVU7ip/bCkCXdWirwZgeMFhmWoXYXTnJw6zMJAAIHYECguTrhYH5cV0VTbbu+KowchnG1y0VNW052h0W3h1L3R01bPKF5xcUJOz+js3sTe0A7vqoNnFMOgN3Ewg0GQhEEAAQQQQAABBBA4tcD6mnDT/v3shGN9IGCkwKhRYtec2TThjDQlFgIIIGC2AE04s4WJjwACCCCAAAII2FzAVxPaVOvXpticgfIRMFRg1nR9s3tW6uWGBiUYAggggICpAjThTOUlOAIIIIAAAggggEC1P9y4a7fGbXMsBQQMFBh3kd5UkOucZmBIQiGAAAIImCxAE85kYMIjgAACCCCAAAJ2F1hX3VX90hqZb3cH6kfASIEbrlcb5hYkFxgZk1gIIIAAAuYK0IQz15foCCCAAAIIIICA7QUq6sONba3yIttDAICAgQLpGZHdnump7IQz0JRQCCCAgNkCNOHMFiY+AggggAACCCBgc4FXfJ3rVz/rKLY5A+UjYKjA/Fsj3mvcKXMMDUowBBBAAAFTBWjCmcpLcAQQQAABBBBAAAGacKwBBIwXoAlnvCkREUAAAbMFaMKZLUx8BBBAAAEEEEDA5gI04Wy+ACjfFAGacKawEhQBBEwUUEol1Gzu+rueLnHhQIbRNCGTnHrtzMtS/ziQ661wDU04K8wSOSKAAAIIIIAAAhYWoAln4ckj9ZgVoAkXs1NDYggg8CkCH36o0qsbu9etr5AzB4KUlCjE1VepP11VmHzrQK63wjU04awwS+SIAAIIIIAAAghYWKC6Mbzl8BEx2sIlkDoCMSeQmSH2FkxzTo65xEgIAQQQ+IwmnLe+e+0rr8i8gSAlJQlx003qmWuKkm8fyPUnXpNTVLJAaHKlUKI64Csr7H/d5S71S6V+Eagsf+pM4p7Ne2jCnY0e70UAAQQQQAABBBD4XIHKuvCm1lZJE+5zpbgAgYELpKerve5ZzssH/g6uRAABBIZWILoTbrCbcErKX0sp0pUubghWlq2JCtCEG9p1wOgIIIAAAggggAACJgpwO6qJuIS2rQC3o9p26ikcAcsKDFET7kEp1KtKiOuCvvFThXhYP74JN9+R40ldLIT6tlIyQ0j1vOxO/PvAxt99bAY0O+HMUCUmAggggAACCCCAwFGB9TXhpv37xThIEEDAOIFRo8SuObOdU42LSCQEEEDAXIGhasKpsLpaS5EHI7qa31xZ/uyxTbhJnoX3SqX9TAnxA02qvUrJnwip9gQryr9ihgZNODNUiYkAAggggAACCCBwVGBdZWfly6/Jo89igQYBBM5e4LqrRdXcQmfR2UciAgIIIDA4AkPVhAv6ynJd7tJlQqiFQa3lUpc+trb/mXAuT+lGocSmoK/s/qiCy1NyixTyOdGdMMKM3XA04QZnrTEKAggggAACCCBgWwFuR7Xt1FO4iQLcjmoiLqERQMAUgaFswk2YdefwxOSEd4UQ3xFCfK+/CZfjLvlASLk0UFH2+2jROQULx4gEbU9EV1OaK8u3GA1BE85oUeIhgAACCCCAAAIIHCewvibc4PXKXFgQQMA4geJi5Z8z2znduIhEQgABBMwVGMomXLQyl6c0+ny4f1BKhKQS/xY9HdXlLtkspFgbrChf3HdNYclc6ZCvRXodFzZXP7nPaBGacEaLEg8BBBBAAAEEEEDgOIFqf7hx126NZ1exLhAwUGDcRXpTQa5zmoEhCYUAAgiYKjDUTbjs3EWpmWnhXULKC4SuFkabcDlFpf8iNHWPiKhbeyPy3YRE8Ssl5Oigryz6JYcyGoQmnNGixEMAAQQQQAABBBA4TuC16nDlX17UeCYc6wIBAwW+fKNedVUBz4QzkJRQCCBgssBQN+Gi5eW4S+4TUj5+tAlXPH+Y0FNXCCm+Gn1dKbVDqsgtgco/BMzgoAlnhioxEUAAAQQQQAABBI4KVDWFG1sPy/GQIICAcQLDM9U7hVPZCWecKJEQQMBsgcFuwp1OPWMK7zjHGUlI3bGx/L3Ted/pXksT7nTFuB4BBBBAAAEEEEDgtAQ4mOG0uLgYgQEJcDDDgJi4CAEEYkhg716VEtjV/ez776sJA0nLoQmZNVq8Nne284GBXG+Fa2jCWWGWyBEBBBBAAAEEELCwgLc21OircvBMOAvPIanHnoC7MNJUPCuVZ8LF3tSQEQIIfIbARx+p4a2RjtSBIiV0pR0ZPVp2DvT6WL+OJlyszxD5IYAAAggggAACFheoagg17tiZQBPO4vNI+rElcMkEvalwOrejxtaskA0CCCDw2QI04VghCCCAAAIIIIAAAqYKVPlDm9vbtDGmDkJwBGwmMCxdtBTmOqfYrGzKRQABBCwtQBPO0tNH8ggggAACCCCAQOwLrK8NNTY0sBMu9meKDK0kMH16b9Mcbke10pSRKwIIICBowrEIEEAAAQQQQAABBEwV8NWFGjZt0XJNHYTgCNhM4PLJwu+e6Zxus7IpFwEEELC0AE04S08fySOAAAIIIIAAArEv8EZ158Y1ax2zYz9TMkTAOgLXz4vUXFGQkmedjMkUAQQQQIAmHGsAAQQQQAABBBBAwFSByrquhoMfi3GmDkJwBGwmMOJctYudcDabdMpFwOICSqmE9+v8fye7QxcOpBTNoUmZnFJ7QW7uHwdyvRWuoQlnhVkiRwQQQAABBBBAwMICFXVhv9cnp1m4BFJHIOYEit2q0TPTyW3eMTczJIQAAp8m8OGHKj1S/dy6pBd/P3MgSiopRfR+9b4/jZw799aBXG+Fa2jCWWGWyBEBBBBAAAEEELCwQFVDuHHn29pUC5dA6gjEnMCECXpTYa6T5nbMzQwJIYDAZzbhvKvWJj/zqwHdSq+SU0V3yfefGXX1Nbefruokd+nVmhRrI7qa0lxZvuWT90uXp3StVOrDgK/8ztONacT1NOGMUCQGAggggAACCCCAwKcKvOLrXL/6WUcxRAggYJzA/Fsj3mvcKXOMi0gkBBBAwFyBvp1wg9SEi1bi8pQ8J5W8IOArKxJCKJe75HYp5f9Geh0XNlc/uc/cak8dnSbcUKgzJgIIIIAAAgggYCMBmnA2mmxKHTQBmnCDRs1ACCBgkMCgN+Hy7xgrExN3C10tDIc6X3SmpexQQv5r0Ff2K1f0tYSE/1FCXiGkqNF1tby5svzZaKk5RaVXCikeUUJMEkK9L6VcEagoe8QIBppwRigSAwEEEEAAAQQQQOBTBWjCsTgQMF6AJpzxpkREAAFzBQa7CRetxuUuWSKE/Cch1HNCyMuC2p5Zou0S6UoLvymE2CiF+B+ltIlSU6t0Kce1d3V8MDwpNaSU/hOp9FVKJF4ipX5lwFf+XSN04q8JV1ycILze3tPHeVibUPxW9k7x3v5TvX987vyMhPSExB3eVQdPPzbvQAABBBBAAAEE7CvwenVX9Usvy3z7ClA5AsYL3HCd2nBlQXKB8ZGJiAACCJgjMBRNuAkTrk1OzD5/i5TykojUZzR7VzZMdC+8wiG115USHilU29+qlU8oIcp6unpXJjkTjigllkkt9D8B7+p2IzXiqgk3Ib/04qREsVP19FwU3PD0nn4ol6f051KIB4+DU6I64Csr7OuMFpVeL6RYJaVIj/5eV+K+7b6y5dFf5xTPHyb0lKeElDdFf6+EqJFS3hLwrthv5EQQCwEEEEAAAQQQiFcBX33If/iQY1y81kddCAyFQOY5kV3uGamcjjoU+IyJAAJnJDAUTbi+no+75HtSyEUBX9mlfX0ed8k9QsrfCSWqjy1ESfGXYEXZf7rcpQ9IKX7Z95oS1UqIHwV9Zb4zKvqEN8VNE87lKY1uI5zdZ3RiE85d+gspxcVKye/319+j9XTu9P7h3ezcRakZaV37hRT/HJR7HnOpMTdKIZ+LKH18s2/lrujWxehkRSKOop5wW4czLXWNEmJ70Ff2TSMmgBgIIIAAAggggEC8C6z1dVY897zDHe91Uh8CgynwlZsjvnnuFM9gjslYCCCAwNkIDFkTzlPybankA/1NuP6NWEFtz7mfdiflF/Lmp6Qnp00RunpQClUc8HVmC7E6cjb1R98bN024iQX3ZDtkz2jh0GpO1YQTUo0IVpSXnAgWxZeaeKn7vQPOnTv/2vVJl7Q52vUMVJQ/5nKX+pXQV2/3rfxpX8fUs3C+ENozgYoy7W8b4/hBAAEEEEAAAQQQ+CwBb214U6hDjUYJAQSME0hNk3uLZzkvNy4ikRBAAAFzBWKlCTem8I5z0rTEPUqI32ta6J+iVatIqkdoKkn2Kr9yaCURrfvxHd6JH7vcu+4XQjwiD4bOCwRWd5+tUNw04aIQl+SVXJiQJN899U44datS4nUp5EEh5QuBihWV0fdMcpcukkJ9P+grn9iPmeMueV4p2RysLFvicpe26krd039KhqtowTSpOfztkZ5zW6qePnS2E8D7EUAAAQQQQACBeBfgYIZ4n2HqGwoBDmYYCnXGRACBsxGIlSbc33pBC/Kl0H4ffVZcXxNOiTahZIkQvbVCat5j/rxRKPHjYGXZmrOpvf+9tmjC5RSVLFCauEQKEVZCTJdC3iKEflugYuXqT07KuC3oKzv6PAWXp3SVVKI14Cv7Vo6nVFe6uKEfPKfozhyhJWwTvfrYQPXKFqVUkxETQQwEEIh7gUB0M23cV0mBCCCAwCkEGrb2XvLCGpUKDgIIGCdw43Xi45mTE1uMi0gkBBCIVwEp5dRYqG2omnCfVXt0V5yjRyXtql114Ni7HS8qviszSXQlGH04py2acCeCuzwl5VKI8wIV5dcNZCecUuLu7ZVlf4rGOXEnnFKKLeCx8F8zOSAQ+wK6ECJ6Gzs/CCCAgO0E6reEV721yzHJdoVTMAImClx8Ue/2WVNSvm7iEIRGAIE4EZBSboqFUvbuVSkJwVefdbTsmDCgfBwJUo2b+NrI4iseGNDdyEk/AAAgAElEQVT1FrjIlk24HE/pfyglCoO+Mnf/M+HEh6Hk/vt7c9ylbwup/rv/mXBCqGeCvvJHo/PJM+EssKpJEQEEEEAAAQRiSqCirstfWSWnxVRSJIOAxQWKCvVGz0wnp6NafB5JHwG7CXz0kRreGukY8O74hK60I6NHy854cYqfJlzuosQvprSPTnQkvq2UvCTYkbRb+Jf39DXO3CWPCBVZGQilvTUxvXOKpmtvCCEeDfrK/n3k5IVpI87R2pWuPxh07P3liaejTnIvXKoJ7d7o6aiR3q72pOSElzkdNV6WP3UggAACCCCAwGAIbGwKbQpsd0wZjLEYAwG7CORMimzOm5rKXTl2mXDqRACBuBCImyZc9AAFKUX60VlR6kDAVz7yb0240johxYxjZmxFa3fo2+9uXN3XTZ3oLv2yQ4oX+l9XQj0QrCj/dd9rBfeka47IKinF9X2vK1EfiThubq5+cl9crACKQAABBBBAAAEETBaoqA03HWnndFSTmQlvM4GMYXKvZ5YzJp7zZDN6ykUAAQTOWCBumnCfJzA+d36GMz35/MNtqfv2+ZeHTr5+vmNScdpo7UDHvlMdOxt9WN+whKTkgHfF/s8bi9cRQAABBBBAAAEE/k/AWxturKnRaBawKBAwUGD2bL2peJaT27wNNCUUAgggYLaAbZpwZkMSHwEEEEAAAQQQQODUArVbuwJHDqsx+CCAgHECGZmiZdZlTk5eN46USAgggIDpAjThTCdmAAQQQAABBBBAwN4CG5u6Nr/3fmSsvRWoHgFjBbJHyZb8aSmTjY1KNAQQQAABMwVowpmpS2wEEEAAAQQQQAAB4asL1W6s12ZCgQACxgnMnq7Xe2al8t+VcaREQgABBEwXoAlnOjEDIIAAAggggAAC9hZ4xde5fvWzjmJ7K1A9AsYKzL814r3GnTLH2KhEQwABBBAwU4AmnJm6xEYAAQQQQAABBBAQNOFYBAgYL0ATznhTIiKAAAJmC9CEM1uY+AgggAACCCCAgM0F1m3orH7xpYR8mzNQPgKGCtx4Q++GufkpBYYGJRgCCCCAgKkCNOFM5SU4AggggAACCCCAQEV9qKm91XEREgggYJzAsOGR3Z4ZqVONi0gkBBBAAAGzBWjCmS1MfAQQQAABBBBAwOYC3I5q8wVA+aYIcDuqKawERQABBEwVoAlnKi/BEUAAAQQQQAABBGjCsQYQMF6AJpzxpkREAAEEzBagCWe2MPERQAABBBBAAAGbC6yvDTdU+GSuzRkoHwFDBTxu5Z8zyznd0KAEQwABBBAwVYAmnKm8BEcAAQQQQAABBBCo9ocb39qp8ewqlgICBgp8cYLeVJDrnGZgSEIhgAACCJgsQBPOZGDCI4AAAggggAACdhdYX9tVt+51OcPuDtSPgJECc69UDcUzkwqNjEksBBAQvVLKCA4ImCVAE84sWeIigAACCCCAAAII9Al4azvr3n8/YQwcCCBgnMDUkbu0zI+2bzEuIpEQQECdN6o5a/bMB5BAwCwBmnBmyRIXAQQQQAABBBBAoE+AgxlYCAgYL7DsxtrDmcuXZhofmYgI2Feg695l3lFXXzvHvgJUbrYATTizhYmPAAIIIIAAAgjYXKCqIdT40SHJTjibrwPKN1bg8uTNqWne1SnGRiUaAvYW6Cm6sSlrTjHPWrT3MjC1eppwpvISHAEEEEAAAQQQQGCDP7y1o0sfjQQCCBgncIloTkqp+hNNOONIiYSA6M2/zp9dmM+pw6wF0wRowplGS2AEEEAAAQQQQACBqMD6mu4Nf31F5KGBAALGCdxfUN+auXzxcOMiEgkBBLgdlTVgtgBNOLOFiY8AAggggAACCNhcwFcf8h8+5LjI5gyUj4ChApMdDYkZy5emGxqUYAjYXKDrGz/imXA2XwNml39GTbiJ7tIva0ofP5DkOh2Ox3d7V4QHci3XIIAAAggggAACCMSfgLe2s37HDjk2/iqjIgSGTmDexYE055F9XUOXASMjEH8CkeEjWrIL8i6Pv8qoKFYEzqgJ53KX/lFKcdtAimiP9JzbUvX0oYFcyzUIIIAAAggggAAC8SewsSm8dVtQfSn+KqMiBIZO4OqLAp1O/2vtQ5cBIyMQfwL61MLdowoLZ8ZfZVQUKwJn1ISLleTJAwEEEEAAAQQQQCD2Baoa25ta9iSxsyD2p4oMLSRQeMHWUIr3f1MtlDKpIhDzApGim+pHuWnCxfxEWThBmnAWnjxSRwABBBBAAAEErCDwiq9z/epnHcVWyJUcEbCKwI+/vq3defi9HqvkS54IWEFAZZ7XMipvNl8aWWGyLJrjGTXheCacRWebtBFAAAEEEEAAgSEQWFcVrnz+Ra1wCIZmSATiVuCH121qS1/9Mw5miNsZprChEOi99f6aC4qLOc17KPBtMuYZNeF4JpxNVgdlIoAAAggggAACBghUNYWb2g/LcQaEIgQCCHwikJO8LTFp/1scgMeKQMBAAf2C0buyC/OnGxiSUAgcJ3BGTTgMEUAAAQQQQAABBBAYqAC3ow5UiusQGLjAshtrD2cuX5o58HdwJQIIfJ5A173LvKOuvnbO513H6wicqQBNuDOV430IIIAAAggggAACAxKoqA/7q6q0aQO6mIsQQGBAAnfO3BpK87/K6agD0uIiBAYm0DutaE8Wp6MODIurzkjgjJpwOcULC4Wu/bxLaF9NEnqJlGLWp44uQ3cEvKv5y+GMpoc3IYAAAggggAAC1heo9ocat77pmGr9SqgAgdgRuG5ioDOlZk1K7GREJghYX6A376qmrFmz+NLI+lMZsxWcURNuYlFpgaaJ/+pW2m3JMrJQKDHzUyvUOhfQhIvZ+ScxBBBAAAEEEEDAdAFuRzWdmAFsKPDjO4IdyUf2KRuWTskImCagMs/bnTVrxmWmDUBg2wucURPO9moAIIAAAggggAACCAxYgCbcgKm4EIEBCzx065Z258G3uwf8Bi5EAIHPFeBghs8l4oKzFDCsCecqXvglpcQ4qTscwhHZGfSu3CaE4JuZs5wg3o4AAggggAACCFhdwFvbVb/uDclpc1afSPKPKYFFc7Z1Jh9s4XTUmJoVkrG6gD5i5N6svNlTrF4H+ceuwFk34SbMunN4UnLCy0KKguPKVKJaaJG7At6ndsZu+WSGAAIIIIAAAgggYLZAdWNH0+6WxMvNHof4CNhJoOiCrZ3Jh/fThLPTpFOr6QK9w8/Ze2FhPk0406XtO8BZN+Fy3CWPCSm/o4RarJReLZUIK00r1oR4UCjZGtD2TBFeb699iakcAQQQQAABBBCwt8D6mnDT/v1inL0VqB4BYwXyz92alPJOA004Y1mJZnOByEU5u7OKPRzMYPN1YGb5RjThPhBCVgZ8Zbcem2iOu/ROIcVTupKTt/tWbDWzCGIjgAACCCCAAAIIxK7AusrOypdfk4WxmyGZIWA9ge9esblt+POPpVsvczJGIHYFer78zQ2jrig+/i6/2E2XzCwocNZNOJen9FWhxLagr+zBY+ufNLNkhJYiD4qIPjtQtbLWgjakjAACCCCAAAIIIGCAQFVDqPGjQ3KMAaEIgQACnwhcrvmThz++ZBggCCBgnEDXvcu8o66+do5xEYmEwPECZ92Em1hUcqsm5ZMdes/YlqqnD/WHz/HcVSSE8kV6HcObq59sAx4BBBBAAAEEEEDAngK+hq5NDX7FM3bsOf1UbZLAVy99s9MZqO40KTxhEbClgO6atiurqIiDhGw5+4NT9Bk14Vzu0j9KKW4bSIohKc/Z7V1xeCDXcg0CCCCAAAIIIIBA/AlU+0ONW990TI2/yqgIgaETuPbiTaHUF3+fOnQZMDIC8SfQe93XarI8xXnxVxkVxYrAmTXhiu66WUp18UCKCGnyV7u9K3hg6ECwuAYBBBBAAAEEEIhDgVerOiue+7PDHYelURICQyaw5Nq6w5lPLMkcsgQYGIE4FOB21Dic1Bgr6YyacKdbw0T3wis6esIb3924mu3Sp4vH9QgggAACCCCAgMUFvDXhTe0darTFyyB9BGJK4LKUYGrSx++GYiopkkHA4gLy3AtaRuXPZue2xecxltMflCZcjrt0W5fQrnnb9/u9sYxBbggggAACCCCAAALGC7zi61y/+llHsfGRiYiAfQV+fFP94eEr/pWdcPZdAlRugkB36fd9I+de7TEhNCER6BOgCcdCQAABBBBAAAEEEDBVwFvX1bBntxhv6iAER8BmAp4RDQkZjy9Ot1nZlIuAqQLcjmoqL8FpwrEGEEAAAQQQQAABBMwWWFcT2uDzJvCga7OhiW8rgW8Ubm1P2fQ6j/ux1axTrNkCkcvy92R5CmeYPQ7x7SvATjj7zj2VI4AAAggggAACgyIQPZjhz89zMMOgYDOIbQSW3rylNXX908NtUzCFIjAIAr2em+uz3O6ZgzAUQ9hUgCacTSeeshFAAAEEEEAAgcESqKgNNx1p52CGwfJmHHsITFaNyRm/XTrMHtVSJQKDI9D1jR95R1197ZzBGY1R7CgQf0244uIE4fX2nmoyc4rvGnW4Lal1n3/5KU4RelibUPxW9k7x3v5TvX987vyMhPSExB3eVQftuFCoGQEEEEAAAQQQOFMBdsKdqRzvQ+DTBZbcvLUjpe39bowQQMA4gcjwES3ZBXmXGxeRSAgcLxBXTbgJ+aUXJyWKnaqn56Lghqf39JeaU7xggtK1NVLKS6J/ppT4XbAj+X7hX94T/b2rqPR6IcUqKUXfg011Je7b7itbHv11TvH8YUJPeUpIeVPfe4WokVLeEvCu2M9iQgABBBBAAAEEEPh8AXbCfb4RVyBwugJ9O+GeWMxOuNOF43oEPkOAgxlYHmYLxE0TzuUp3SiFmN3XKDuxCecueUVI0Xq43XlXujM0WnM46qVS3w5Ulj+VnbsoNSOta7+Q4p+Dcs9jLjXmRinkcxGlj2/2rdzlcpcskUIuikQcRT3htg5nWuoaJcT2oK/sm2ZPDvERQAABBBBAAIF4EPDWdtbv2CHHxkMt1IBArAhcld3gzHx8CaejxsqEkEdcCNCEi4tpjOkiBqcJ5yn9fVePvuTtDSsPmKUxseCebIfsGS0cWs2xTbgxhXecM8yR+LGuIgXbfU9tiI6f4y55TAgxOuArvzm6C05q4qXu9w44d+78a1f0dZe7pFlK8ctARfljLnepXwl99Xbfyp/2vdezcL4Q2jOBijLtbxvj+EEAAQQQQAABBBD4LAFfXah2Y73Gg65ZJggYKHDbxIa2zCdowhlISigEBE04FoHZAmfUhIve3qn3OjIGktz2qtAmIVZHBnLt2V5zSV7JhQlJ8t1jm3A5RXfmCC1hm9Ij2cHKp97/pMn2PSFkSdBXljvJXbpICvX9oK98Yv/4Oe6S55WSzcHKsiUud2mrrtQ9zZXlz/a9t2jBNKk5/O2RnnNbqp4+dLY5834EEEAAAQQQQCDeBar8oU2HD8vR8V4n9SEwmAKTk99Mce5sCA/mmIyFQLwLRC7K2Z1V7JkW73VS39AJnFkTzl3yfP8z0j4v9cFsVp2qCTfJvSBfk47qY/OINt40qR4KVJSPjt5uKoS8LdqQ66/F5SldJZVoDfjKvpXjKdWVLm4IVpatib7e39QTvfrYQPXKFqVU6ecZ8DoCCCAghIgeCJOKBAIIIGBHgeqGrmV/fkGbYMfaqRkBswS+d9XmzrQ//0+KWfGJi4AdBSLz7995fn7+T+KtdillWbzVZNV6zqgJFz0AIdERGdBOuGBl1+ZY2AknpMzqP0zB5S45rZ1wSom7t1eW/Sk6ySfuhFNKrbDq5JM3AggMqkB0J27WoI7IYAgggECMCNRt7r7x4MciLUbSIQ0E4kLgUtEoM37zg6S4KIYiEIgRgciDP90/Iq9wbYykY1gaUsq7DAtGoLMSOKMm3FmNaOKbT7UT7lTPhHO5S34lhbjw2GfCiQ9DyYHA6r4jvnPcpW8Lqf67/5lwQqhngr7yR/te45lwJs4goRFAAAEEEEAgHgXWVXdtePkVmRePtVETAkMl8L3rtnUkH9zd90xrfhBAwBgBfcTIluz8/KnGRCMKAicLGNKEGzfr6yOTEpOnCqmfdER2c8j5gvAv7zEdP3dR4hdT2kcnOhLfVkpeEuxI2t0/rstT+qpQ4tCRjuS7TzwddeTkhWkjztHala4/GHTs/eWJp6NOci9cqgnt3ujpqJHervak5ISX4/101Mr68M9a29Tlps8ZAyBgI4H0dLnJPcP5fRuVTKkIIIDAUQFffch/+JDjIkgQQMA4gclJjYkZK/6N01GNIyUSAiK84HuVWXPnuaFAwCyBs27C5RQunBU9kfTTEhysZ8JFD1CQUvzfX0JKHQj4ykdG85pYsGCiw+F4WUgx/pM8V4gPQ/f173yb6C79skOKF/prUEI9EKwo//Xf3ntPuuaIrJJSXN/3uhL1kYjj5ubqJ/eZNSlDHXetr9P7p+ccnqHOg/ERiCeBr34lUjHPnVIcTzVRCwIIIDBQgVd8netXP+vg/4EDBeM6BAYg8NBXt7Snbn2jcwCXcgkCCAxQIHJZ/p4sT+GMAV7OZQictsBZN+FcnpLnhJJjhSYfkEpt1JWcHNK7301zJPxOKqFFb/k87axMekP0dlWpJbQ2Vz/ZdvIQ8x2TitNGawc69vU35469pu+21oSk5P7nypmUYkyErWoINX50SI6JiWRIAoE4ERhxjmopnJ7KSUtxMp+UgQACpyfgre1q2L1HjDu9d3E1Agh8lsAVWW8mp3j/wLMWWSYIGCjQ67m5PsvtnmlgSEIhcJzA2Tfh3CXNQsj/F9T2PJGjxvYIpaYFfOVN/aeSRnodF8bzrrF4XE+vVnZWvrxWFsZjbdSEwFAJXD9PVF1V5CwaqvEZFwEEEBhKgTdqOjb6fImzhzIHxkYg3gTuLtjanup/NXr6Oj8IIGCQQO+0oj1ZhYU04QzyJMzJAmfdhIseYqCE+HnQV/arT379L0FfWbnLfdcXpVQ7dBUp2O57agP41hHglhHrzBWZWkdg/q0R7zXulDnWyZhMEUAAAeME+GxhnCWREOgXeOj2be1pdS+e9ExuhBBA4MwFemdf1ZSVl8fdK2dOyDs/R8CAJlzJ60qI3UFf+Tdc7tLfSCGuFkr9g5LiFillaXe4N2Nn7R9amQnrCPBB2TpzRabWEaAJZ525IlMEEDBewFvX5W9p4XZU42WJaGcB94UBZ8qRdzkd1c6LgNoNF4hknr87e/ZsTkc1XJaA/QJn3YRzFd31NSn1iQFf+b9MLLgn2+HobRJSXtA3gBI/DPjK/gtuawlsbAxvbm0XPBPOWtNGtjEuMHyYaMmb5pwS42mSHgIIIGCKwMbG0KbdezU+W5iiS1C7CuSfvy3FeWgfBzPYdQFQtykCkYzzWrIL8y43JThBERBCnHUT7iTF4uIEV+QLk7tCXW+/4199BGXrCbxR3blxzVoHz22x3tSRcQwLXD8vUnNFQUpeDKdIaggggIBpAhsbu7a8GVSXmTYAgRGwocC80ZtDw556JNWGpVMyAqYJdN/+3Y2jrrwy37QBCGx7gbNuwuW4S58QUr0ZqCh/7FjNiUUlkx2aWNMre6bu8K46aHtpCwFU1nU1HPyYW0YsNGWkagGBEeeqXe6ZzukWSJUUEUAAAcMF1teE6g98oI01PDABEbCxwKzztqWlHHgnbGMCSkfAcAF1/hd2jSrM4zO74bIE7BcwoAlX8rySwh+sKP+3Y1ldRQuypObY139aKuTWEfDWhRurqiT3wVtnysjUAgKFhaqpeKaTh7xaYK5IEQEEjBdYVxWufP5FjZPXjacloo0FfnhdU8ewN1al2ZiA0hEwXKD7iluasjwePrMbLkvAs27C5bhLpgpdJQlN+5kSYrvU9d8eZU0QiUKXtwspv3O4PTltn385R2dbaM1V+cONzTtowlloykjVAgITL1FNhbk04SwwVaSIAAImCFQ1hZvaD8txJoQmJAK2FchJCSam1LzE7ai2XQEUboZA76y5/qy82eyEMwOXmH0CZ7wTLsdd8sHRAxhOhanUAV2KR7dXlP8ca2sJVDWEN3Ewg7XmjGxjXyB6MEPhdCcPeY39qSJDBBAwQYCT101AJaTtBZbdWHs4c/nSTNtDAICAgQJd9y7zjrr62jkGhiQUAscJnHkTrujOnF4lEx2aI/osuG0RPfJ4f2Slye63fBc3C/Gwjrf1BPigbL05I+PYF5h/a8R7jTuFv9Bjf6rIEAEETBCo8oc3HWnl5HUTaAlpY4HLkrYmp/1lOTvhbLwGKN14ge7rF/qz3G52whlPS8RPBM64CdcvOHLywrSUcx2R3d4VPBQ0TpbV6zVdNa+ulbPipBzKQCAmBK6ep2qvnJ3MqcMxMRskgQACgy3wWlXY98ILWtFgj8t4CMSzwA9uCbanBXzD4rlGakNgsAV6Lp3VlJ03k2fCDTa8jcY76yZc1OqL7oWuBCn/USqZK6QaroQMCl0+Gay86Bl2w1lvNb1RF2o4eCCBE8ysN3VkHMMC553fu+eKWal8qxbDc0RqCCBgnoCvLrypvYOdcOYJE9mOApcmvul0Bqo77Vg7NSNgloDumrYrq6iIz+xmARP3zJ8J1293ieeuGQlC1UV/r4R4TSr1oRBi7ifPi3skUFH2I5ytJcDtqNaaL7K1hgC3o1pjnsgSAQTMEeCzhTmuRLW3wLJbm1qHrfn9cHsrUD0Cxgr0Xve1mixPcZ6xUYmGwP8JnPVOuBxP6V+EEpce7ki+7JhTUKXLXfKIlHKJ3qnO215X/hHo1hFY6+useO55h9s6GZMpArEv8JWbI7557hRP7GdKhggggIDxAjThjDclIgIP3eRvHf7HR2nCsRQQMFCg+/bvbhx15ZX5BoYkFALHCZx9E85d8oEu1C+2+1b+9NjIk4rvukhTaldEF4XNlWXVuFtHwFsb3hTqUKOtkzGZIhD7Aqlpcm/xLE5Hjf2ZIkMEEDBDgCacGarEtLvAj2/f0uY8sKvH7g7Uj4CRAur8L+waVZjH7ahGohLL6CZcaZUQqj3gK7/m2Mg5RSULhCZX9krp2uFdsR136wh467oa9uwW462TMZkiEPsCYy8S7xTPTOYv9NifKjJEAAETBGjCmYBKSNsLLLux9nDm8qWZtocAAAEDBbruXeYddfW1cwwMSSgEjG3CTfIsvFcT2nKh1NNCynV6RH2oabJYCLVQCLkn4CuLnrKpcLeOwLqa0AafN4H74K0zZWRqAQFPcWTjlbNT2NpugbkiRQQQMF6AL/iMNyUiAp4RDQkZjy9ORwIBBIwToAlnnCWRTi1w1rejCiHkJPfCJZrUHjluCKVe6O0RD+zYWP4e+NYS8NZ2NbyzSx9nrazJFoHYFhg/TttVPIudcLE9S2SHAAJmCfAFn1myxLWzwDc82zqSD+7usrMBtSNgtIA+YmRLdn7+VKPjEg+BfgEjmnB9sbJzF6VmOrvGRRL1lN5u0fL2hpUHYLamQHVjx5uHDjnGWjN7skYgNgUyz4nsKZyW9qXYzI6sEEAAAXMFvLWd9Tt2SD5bmMtMdJsJXDW60Zm54ifshLPZvFOuuQLhBd+rzJo7j0MKzWW2dfSzbsLluEufEFK9Gagof+xYyYlFJZMdmljTK3um7vCuOmhrZYsV/8aG7urX1ilum7PYvJFubAtcdZVWfUVeYmFsZ0l2CCCAgDkCvrpQ7cZ6baY50YmKgD0FbpvY0Jb5xBKacPacfqo2SYDbUU2CJexRAQOacCXPKyn8wYryfzvW1VW0IEtqjn1CqWkBX3kT5tYR8NWFN7V3iDHWyZhMEYh9gWFposU9k9NRY3+myBABBMwQ4GAGM1SJaXcBDmaw+wqgfjMEaMKZoUrMYwXOuAmX4y6ZKnSVJDTtZ0qI7VLXf3s0cIJIFLq8XUj5ncPtyWn7/MtDsFtHgA/K1pkrMrWOwPxbI95r3CmctGSdKSNTBBAwUKCqIdT40SHJF3wGmhIKgWlp21JS1/wuFQkEEDBOoHve15uy3O5pxkUkEgLHC5xNE+4DIeUFnwqq1AFdike3V5T/HHRrCayrDvue+7NWZK2syRaB2Bb4yi165dwCJ8+XiO1pIjsEEDBJoLIuvGnfAf0ik8ITFgFbCsw6b2fSsE2vptiyeIpGwCSB7inupuy8mTThTPIlrBBn3oQrujOnV8lEh+aIPgtuW0SPPN4PqjTZ/Zbv4mYhHtZBtp6Ary7ceOgI31Zbb+bIOJYFMjNUi2emk7/QY3mSyA0BBEwTqGwIb/Y3ycmmDUBgBGwocMv4hvbhjy8eZsPSKRkB0wS4HdU0WgJ/InDGTbh+wZGTF6alnOuI7PauCKMaHwLrqruqX1ojOZghPqaTKmJE4Ibr1Ya5BckFMZIOaSCAAAKDKlDdEG58e5c2dVAHZTAE4lygePTWcNLh/fwbLM7nmfIGV0BlnNuSlZc3ZXBHZTQ7CZx1E85OWHaptaI+3NjWKrllxC4TTp2DIpCeEdntmZ7KTrhB0WYQBBCINQFvbajRV+WgCRdrE0M+lhYomVLfnvHbf2InnKVnkeRjTSB8z9KKrHnXFsdaXuQTPwI04eJnLg2rxFvb1bB7jxhnWEACIYCAuGis2FU8K3k6FAgggIAdBaIHM+zYmUATzo6TT82mCVx5fj23o5qmS2C7CnA7ql1nfvDqpgk3eNaWGamiPuyvq9fYsWOZGSNRKwjMmqn87uk04awwV+SIAALGC3DyuvGmRERg2Y21hzOXL81EAgEEjBOgCWecJZFOLUATjpVxkkB1Q7jp48PcjsrSQMBIgXMz1e6C6U52gRiJSiwEELCMwPrarrp1r8sZlkmYRBGwgMA3Z9e3ZS7/UboFUiVFBCwjEL77H31Z867xWCZhErWcAE04y02Z+QlX1Ye3fNwqR5s/EiMgYB+Bc4ervYUznJwMaJ8pp1IEEDhGwFvbWff++wljQEEAAeME8oOCboYAACAASURBVM/fku48vK/LuIhEQgCBSMZ5LdmFeZcjgYBZAjThzJK1cFyfP9TY1urgmXAWnkNSjz2B9OFqlzvXyW3esTc1ZIQAAoMgwO2og4DMELYT4HZU2005BQ+CALejDgKyzYegCWfzBXCq8tdt6Kx+8aWEfGgQQMA4gRtv6N0wNz+lwLiIREIAAQSsI0ATzjpzRabWEXjo1s3t6Wuf5HRU60wZmVpAoHve15uy3G6+OLfAXFk1RZpwVp05E/OuqA81tbc6LjJxCEIjYDuBYcMjuz0zUnkmnO1mnoIRQCAq4K0NN763j5PXWQ0IGCmQP2pHcvrmV1OMjEksBOwu0D3F3ZSdN5MmnN0Xgon104QzEdeqoaMflPft08dbNX/yRiAWBbKztXeKZ3E7aizODTkhgID5Aq9XhavWrpPsBjafmhFsJHB/YcORzCcWZ9ioZEpFwHQBbkc1ndj2A9CEs/0SOBmguiHc+M4excOTWRsIGCgwbqxsKZxOE85AUkIhgICFBNbXhBu8XplroZRJFYGYF7hrRkNb5uOLOR015meKBK0kQBPOSrNlzVxpwllz3kzNuqIuVNfQoM0wdRCCI2AzgenTVb1nZspMm5VNuQgggECfQLU/3Lhrt8Yt+awHBAwUcI/aGkp+s6rTwJCEQsD2Arord3eWu3C67SEAME2AJpxptNYNzLfV1p07Mo9dgeJi5Z8z28lf6LE7RWSGAAImCvDZwkRcQttW4O6CLR3D/vr7NNsCUDgCJgh0zZtfe6FnzmwTQhMSgT4BmnAshJMEajZ3bWnZKy+DBgEEjBMYM0ZsmT05aYpxEYmEAAIIWEeAnXDWmSsytY5AUWZ9+/DHF3M6qnWmjEwtIMDtqBaYJIunSBPO4hNoRvqcjmqGKjHtLjA8M7Lni9NSeCi53RcC9RsqMFKIbillj6FBCWaKwCu+zvWrn3UUmxKcoAjYVGDZjbWHM5cvzbRp+ZSNgCkCNOFMYSXoMQI04VgOJwm8vrGr0e8XPLeFtYGAgQJfnt5yMPPA1iYDQxIKAdsL6OePfjs7b8b9toewAMBrVZ2Vz//FUWiBVEkRAcsILLllW0fix+92WyZhEkXAAgLq3PNasvPyLrdAqqRoUQGacBadODPTrqwP1fs3aTy7ykxkYttO4ObxDW0Zjy/hBDPbzTwFmynAt9Vm6hobu6Iu3HTkiBxtbFSiIWBvgcvT3kxJeeG3qfZWoHoEjBWIXH+nf5S7iH8LG8tKtGMEaMKxHE4S4JYRFgUCxgs8dHPDkYyyf80wPjIREbCvQE/p96suuOKqIvsKWKdyb214U6hD0YSzzpSRqQUELk1tTknZ2ZBigVRJEQHLCOgTvrRp1OzZ3BVmmRmzXqI04aw3Z6ZnvL62q27d63KG6QMxAAI2Elh05fYO58d7e21UMqUiYLpAJGPErux8PiibDm3AAOtrw40bN2r8o8YAS0Ig0C9wZ+7m0LAXH2cnHEsCAQMFum8o9We53eyEM9CUUMcL0IRjRZwk4K3trHv//YQx0CCAgHECs4fVpmY+we2oxokSCQEhuB3VOqug0h/yb9vqmGadjMkUgdgXuGZisDMtuIGdcLE/VWRoIYFe1/SmrLyZ/H1loTmzWqo04Y7O2MPahOK3sneK9/YLr/ek3Srjc+dnJKQnJO7wrjpotUk+3Xw3NoY3t7YLmnCnC8f1CHyGgCthW3Ly1qoQSAggYJyA7srdneUu5Ntq40hNi1RR11UXDOpjTRuAwAjYUGDeF/wpmTxv1oYzT8lmCvAFn5m6xI4K2KIJ5/KU/lwK8eBxU65EdcBX1ndKl6uo9HohxSopRd9D03Ul7tvuK1se/XVO8fxhQk95Skh5U/T3SogaKeUtAe+K/fG6hLhlJF5nlrqGUuCOGVu7UptrkocyB8ZGIN4EIpOmbsvKz/9SvNUVj/VU1IXqGho0HnURj5NLTUMm8JWJDW004YaMn4HjVIAmXJxObAyVZY8mnLv0F1KKi5WS3++379F6Ond6//Budu6i1Iy0rv1Cin8Oyj2PudSYG6WQz0WUPr7Zt3KXy12yRAq5KBJxFPWE2zqcaalrlBDbg76yb8bQPBqaCreMGMpJMAT6BK6duK0jreLZNDgQQMA4ge7C6xqyCwtp7BhHalqkqoZQ40eHJLvsTRMmsB0FpiZvSU3es6XbjrVTMwJmCehjL3kny+3hdlSzgIlrk51w7tJfCKlGBCvKS06c8+guOKmJl7rfO+DcufOvXdHXXe6SZinFLwMV5Y+53KV+JfTV230rfxp9LcezcL4Q2jOBijLtbxvj4u+H01Hjb06paOgFfvzVpnZny5bI0GdCBgjEjwAflK0zl69Wdla+vFb23YHADwIIGCPwvSua2oY/94u+O3n4QQABYwR6brmvetSVV/L3lTGcRDmFgI12wqlblRKvSyEPCilfCFSsqIx6THKXLpJCfT/oK5/Y75PjLnleKdkcrCxb4nKXtupK3dNcWf5s9HVX0YJpUnP42yM957ZUPX0oHldVVUO46fBhxbfV8Ti51DRkAlPStjudr/+BE8yGbAYYOB4Feud8pSmrIJ9vqy0wuXzBZ4FJIkXLCTx025vtKW37eiyXOAkjEMMCkeEjWrIL8i6P4RRJzeICtmjC5RSVLFCauEQKEVZCTJdC3iKEflugYuXq6O2mQsjbgr6y3P65dHlKV0klWgO+sm/leEp1pYsbgpVla6Kv5xTdmSO0hG2iVx8bqF7ZopSKu0Zc/Zvd6dUbpMPia5v0EYgpgVumBvXUHfXRHbT8IICAQQLaZTMiIyZPbjMoHGFMFPC/2Z3+ymuCzxYmGhPafgIl0xp703/1gwT7VU7FCJgnoH74s95zZsxqN2+EoYkspTxnaEZm1BMFbNGEO7Fol6ekXApxXqCi/LqB7IRTSty9vbLsT9E4J+6EU0plxtuyqtvSWbvzHe2SeKuLehAYSoGijMZQ+m9+yE64oZwExo47ge5FD1VdMHfejXFXWBwWVO0P+5p3aJfFYWmUhMCQCcwdWd8x/PElPG92yGaAgeNRIF4/W0gpD8fjfFmxJls24XI8pf+hlCgM+src/c+EEx+GkgOB1X0PNs1xl74tpPrv/mfCCaGeCfrKH+17zQbPhKv2hxt37damWnFBkzMCsSrgGeFvH/bkw8NiNT/yQsCKAuGF36/KuurqIivmbrec19eGGyp88uhdB3arn3oRMEPg7tmbOoetW5ViRmxiImBXge4rbmnK8nAwg13nfzDqtkUTLsdd8ohQkZWBUNpbE9M7p2i69oYQ4tGgr+zfR05emDbiHK1d6fqDQcfeX554Ouok98KlmtDujZ6OGuntak9KTng53k9HragP+6uqNJ6xMxj/BTKGbQQWzNwccn64N2SbgikUgUEQ0M8dsZcTzAYB2oAhol/wvbWTL/gMoCQEAkcFrvziznDi4fc59Ik1gYCBAvrwEXuzp1/uMjAkoRA4TsAmTbjSOiHFjGMqX9HaHfr2uxtXd0b/bKK79MsOKV7of10J9UCwovzXfa8V3JOuOSKrpBTX972uRH0k4ri5ufrJffG6lqr9ocatbzrYCRevE0xdQyJw3YQ3Q84tXppwQ6LPoPEqELl05p4sd9H0eK0vnuqqqOusf2unY2w81UQtCAy1wNzRm1LT//o7bkcd6olg/LgS6Jl3R80ojycvroqimJgSsEUTLio+Pnd+hjM9+fzDban79vmXn+IfwvMdk4rTRmsHOvb135Z67EyNKbzjnGEJSckB74r9MTWDJiTDCWYmoBLS9gLLbt3UOnzdyuG2hwAAAQMFeubOrx3lds82MCShTBKoqAnV1tRrM00KT1gEbCnwtWnbQs7D+7psWTxFI2CSQCTjvJbsQk5HNYmXsEII2zThmO2BC0Sf27LrHXnRwN/BlQgg8HkCcy5oSMp8fHH6513H6wggMHCBrnuXeUddfe2cgb+DK4dKYK2vs+K55x3uoRqfcRGIR4Gl19Ydzly+JO4OiYvHuaIm6wjw2cI6c2XVTGnCWXXmTMy7dktHoLNT+4KJQxAaAdsJjItsS0xteK3VdoVTMAImCvROK9qTVVjI7ioTjY0K7a0Nbwp1qNFGxSMOAggIkaMakzIeX8yhTywGBAwUoAlnICahTilAE46FcZLAuurOij/zbTUrAwFDBRbfHGhPrX+JD8qGqhLM7gLdM+ZuvrBg9uV2d7BC/a9VdVY+/xdHoRVyJUcErCLwg6tqj2QuX5phlXzJEwErCNCEs8IsWTtHmnDWnj9TsvfWdtbv2CF5eLIpugS1q8DVFwfSUj/aw3Nb7LoAqNsUgZ5zR+6+sCCf07xN0TU2qLc23NjaKtgJZywr0WwuMFn6nRlPsBPO5suA8g0WoAlnMCjhThKgCceiOEnAVxeq3cjDk1kZCBgq8PXJW0LOt/004QxVJZjdBSIX5ezOKvbQhLPAQmAnnAUmiRQtJ7D4hk0daWvLOB3VcjNHwrEsELnm9saRRe7cWM6R3KwtQBPO2vNnSvbrNnRWv/hSQr4pwQmKgE0F/n5eY9vw53/JwQw2nX/KNkeg58ZvbBh1RXGBOdGJaqSAry686cgRyU44I1GJZXuBKenBFKd/XYrtIQBAwECByPSipqxZs/iCz0BTQh0vQBOOFXGSQEV9qKm91cHpqKwNBAwU+FLqtuTkI++zE85AU0IhoIaf25KVnzcFidgXqKgNNx1p52CG2J8pMrSSwJTkbSkpO2r5bGGlSSPXmBfQvzj5nVFFRdNjPlEStKwATTjLTp15ib/i61y/+llHsXkjEBkB+wk8dJO/dfgfHx1uv8qpGAHzBLpv/+7GUVdeyc5t84gNi8xnC8MoCYTAUYFlX2lsHb5mOZ8tWBMIGCgQvn7hxguL5/DZwkBTQh0vQBOOFXGSAB+UWRQIGC/w49u3tDkP7OoxPjIREbCvgDr/C7tGFebxbbUFlsD62nDDrncku+wtMFekaB2BORc0JGUuX8qjLqwzZWRqAYGub/zIO+rqa+dYIFVStKgATTiLTpyZaXtru+rXvSH5R42ZyMS2ncC9BU2dKe80hm1XOAUjYKIABzOYiGtw6OrG8KamJo1bhw12JZy9BW50bQ07j7zfaW8FqkfAWIHI8BEt2QV5lxsblWgI/J8ATThWw0kCtVs6t+1735EDDQIIGCcwc3ggnFz5rNO4iERCAIFI0Q2bR+bN5oOyBZbC+ppQ/YEPtLEWSJUUEbCMwMy0BmfmE0vYCWeZGSNRKwh03buMnXBWmCgL50gTzsKTZ1bqFbWd9R9+KMaZFZ+4CNhRYMZ5O1JSt29MtWPt1IyAWQI9E6c1ZefN5AQzs4ANjFvVEGr86JAcY2BIQiFge4GpKVtTnW/52WVv+5UAgJEC6uIv7RrpLso1MiaxEDhWgCYc6+EkAW9dV/3OtxTPbWFtIGCgwFXjAmnJrZyOaiApoRAQnI5qnUXwamVn5ctrZaF1MiZTBGJf4MF5W9qGvfwkO+Fif6rI0EICvdd8vW6kxzPLQimTqsUEaMJZbMIGI92KmlBNda3G/3gGA5sxbCNwx6X+1ownFnOCmW1mnEIHQ4BbRgZD2ZgxqvzhTUdaBTvhjOEkCgJ9ApclbnEmH3y3Aw4EEDBOQD93xN4st4dd9saREukEAZpwLImTBLy14cb39nE7KksDASMFCtL9CRlPLB5mZExiIWB3AZpw1lkBa32dFc8/73BbJ2MyRSD2BRZfW3c4c/mSzNjPlAwRsI4Any2sM1dWzZQmnFVnzsS839jQXf3aOpVv4hCERsB2AvflNxzJeGJxhu0Kp2AETBTgg7KJuAaH9tZ1+Vta+ILPYFbC2Vyg+ILNTufuzV02Z6B8BAwVUGMv2TXSw044Q1EJdpwATTgWxEkCvrrwpvYObhlhaSBgpMClji3J6c/8nIMZjEQllu0Fur96X+2oOXNm2x7CAgDejaHqdd4EvuCzwFyRonUEFnneDKVufJHPFtaZMjK1gEAkb96Wkfmzp1ggVVK0qABNOItOnJlpv+LrXL/6WUexmWMQGwG7CSybv7ktdV8z31bbbeKp11SBSNYX9mS7i6ebOgjBDRHgs4UhjARB4DiBH38t0J7iX8ujLlgXCBgoEMl1N2Xl5/FMOANNCXW8AE04VsRJAq9tCFe9+KJWAA0CCBgn8ODV/raMlT/hBDPjSImEgOi+8x+qR115JSduWmAt0ISzwCSRouUElt1Yezhz+VKeCWe5mSPhWBbgURexPDvxkRtNuPiYR0Or8PlDjW2tjnGGBiUYAjYXuNQZSE75eC874Wy+DijfWIHIOefvyubbamNRTYrmrQs3VlXJqSaFJywCthQombG5M23d0ym2LJ6iETBJoPuKW5qyeCacSbqEjQrQhGMdnCTAt9UsCgSMF1h2U0Nr5tOPDDc+MhERsK9A5x3f25B95Vx2bltgCVT5w43NzTThLDBVpGghgavGB0MpNS/xTDgLzRmpxr5A76y5/qy82TzqIvanyrIZ0oSz7NSZlzhNOPNsiWxfgYdu39aWemhPxL4CVI6A8QLd55y/+wsFBeyuMp7W8Ije2nBjTY3GXBkuS0A7C3zt0vr2jCcW80w4Oy8CajdcgNtRDScl4AkCNOFYEicJrK/tqlv3upwBDQIIGCfwzZl1bZlPLOGZcMaREgkBwQdl6yyCKn+4YfNWmWudjMkUgdgXuH5MQ1vGbxbz2SL2p4oMLSTAZwsLTZZFU6UJZ9GJMzPtyobwpg8+kGPNHIPYCNhNYMY525zJH+0J2a1u6kXATAF9xMiW7Px8dleZiWxQ7NdrumpeXStnGRSOMAggIIS43+1vz3jqP9gJx2pAwEABHnVhICahTilAE46FcZJAZV1Xw8GPBQczsDYQMFBg2rAtKcn7mnsNDEkoBGwvEMkes+vCQvcU20NYAOCNulDDwQMJfMFngbkiResIzByxLTX1oz3d1smYTBGIfQEedRH7c2T1DGnCWX0GTch/fU24wevllhETaAn5/9u78+AozjOP48/boxswGBODgOAjNmIGm9jcSMyMMCmv75zEFQwj7MSksptj2a212cTeHJtNNpuqJM4mDpALjUjwlcQbH5uUr5mRhBDSSOaaQTY2GLK2cbw2BqFzpt+tlldEQBxB3I2mp7/5T0zr6ef9vK9Trd+83e1hgdtC6a6SvS09HiZg6AjYLqDfd/mBSVUL2Qlnu6z9BeMtPcmGBmO2/ZWpiIB3BW6Z1XJ07DpuR/XuCmDkTghwO6oTqtQcKkAIx3o4RaAx2dO2bz8PT2ZpIGCnQHDq7t6yXY3FdtakFgJeFzAvm7974oL5l3ndwQ3jb0x2te3c5SMwdcNk0aNrBK6d2tJ5zoZ/5nZU18wYjbpBoPeTX4xNuvraJW7olR7dKUAI5855c7TrJ7b0NDzyiFHl6EkojoDHBP7hpt3HRjU/Nspjw2a4CDgqkFnwgWT5ooVzHT0JxW0ReHJLd+MjjxZU2lKMIgggMCCw5obtXaVvvdoLBwII2CeQPee8A5OrFl1hX0UqIXCiACEcK+IUgUSyq+3oER/PhGNtIGCjwGXFu4vKWn/faWNJSiHgeYHM7OBL5YsXz/c8hAsA4i1d7Z1HfBe6oFVaRMA1AjOltWDsujvYCeeaGaNRNwhwO6obZsndPRLCuXv+HOme57Y4wkpRjwusWLC7q6zx12UeZ2D4CNgqkKm6LlleuYidcLaqOlOMXfbOuFLV2wJrlra8NW79HWO9rcDoEbBXgBDOXk+qnSpACMeqOEWA57awKBCwX+C6i3d0F735hy77K1MRAe8KmGMnHJwcDvKcMRcsAXbZu2CSaNF1ArOKdxaVPfoTvuBz3czRcC4L9F3zifbyUJgXCeXyJLm8N0I4l0+gE+3HmntbnnxasbPACVxqelbgk/Nbjo7jDWaenX8G7owA31Y74+pE1di2nraGBkVg6gQuNT0rcMvCPd1jdj1d6lkABo6AAwJ9l1e1T140nxDOAVtKvi1ACMdKOEWgse1Y+/4DhTyMkrWBgI0CwfN3dpUknzhmY0lKIeB5AfPKxfsn8Uw4V6yDph096YMH1AxXNEuTCLhEYOG4HT2jHvp+iUvapU0EXCHQ/+FPtUwKh3nerCtmy51NEsK5c94c7TrW3N3y3HPqAkdPQnEEPCZwzUW7y0rj9/F2VI/NO8N1ViAb/GDLpBAvZnBW2Z7qsebuba+8UjDNnmpUQQABS6BywvZRpS/t5FEXLAcEbBTITL3wwOTwknk2lqQUAicIEMKxIE4RSGzram5qMUj/WRsI2Cjw8YrWo+PW3znGxpKUQsDzAtyO6p4lEGvubd3/kvDmdfdMGZ26QGDppJ3FZf/1A77gc8Fc0aJ7BPpvXNU6qbqaEM49U+a6TgnhXDdlzjf8THNPazyh5jh/Js6AgHcEama38kw470w3Iz1LAoRwZwnahtPEtnVva2ry8UeNDZaUQGBQ4BMLd3eN7mjhxQwsCQRsFOireH/75AULeCacjaaUOlGAEI4VcYpAY7Kn7fm9Bg9PZm0gYKPAkgktneesu2O0jSUphYDnBQjh3LMEGtp72jsPK3bCuWfK6NQFAoGinYUlHc29LmiVFhFwjYB56awXJwWDvKTQNTPmvkYJ4dw3Z453/FRTb1syKYRwjktzAi8J3Dxre3fJi+1cKHtp0hmr4wLmRRX7ysPVfFvtuPS7P8HvEt3PPPiQr/rdV6ICAggMCtz1kbYj5zy24RxEEEDAPoGe61c2TaleUmlfRSohcKIAIRwr4hSBpme70y/s4w1mLA0E7BSonpjqKv3tj7hlxE5UanleIHN9pHliMLjQ8xAuAHiysbfx0ccUf9S4YK5o0T0Ca67dcaz0+eY+93RMpwjkvgA74XJ/jtzeISGc22fQgf4bWrvanttbwE44B2wp6V2BpRfu7i5+83+4UPbuEmDkDgjose95sbyS57Y4QGt7ycZkz86jR3nzuu2wFPS0gL9kV2Hps7ESTyMweARsFui/fOHuKVVVl9lclnIIHBcghGMxnCLwzNae9ldf5Q1mLA0E7BSonJguKn59f7edNamFgNcFzPMmHphcWcmXRi5YCPXbeltff4NrCxdMFS26SGDuuD3FJdse5+2oLpozWs19gcy8q9rLF/EFX+7PlHs7JIRz79w51vmT9d31jz+hFjt2Agoj4EGBzy999sjY+7/Lc1s8OPcM2TmBvps/vWVi+Koq585AZbsEeCacXZLUQeBPAncv29FZ8tZBdtmzKBCwUSA7dsLBKcHgFTaWpBQCJwgQwrEgThHgQplFgYD9Av+yYk93cdcb/H+u/bRU9LCAOXrMwclz50z3MIFrhh7b1tPW0KDYteiaGaNRNwismNXaOXY9b153w1zRo3sEePO6e+bKrZ3yB+FpztzFc5aNLRhTUPhcbPPrp/krrj3MCuF+9WveYObaCaTxnBS46+ZUZ2nbk6NzsjmaQsClAtm5wfbyBdwy4obpa0j2tHV0EMK5Ya7o0T0CH5ja3lNycDdvXnfPlNGpCwSyU9+3b3K4mi+NXDBXbm2REG6YmQtULxstZukmUeqD1qFaZKtS6sOp2MZX3Trpw/Xd0Nrz7JFOmTbccXyOAAKnLzAzmyw8Zx3fVp++GEciMLwA31YPb5QrR7DLPldmgj7ySeBLN6c6x3Rs6cmnMTEWBEZaIDNj7oHyyvlzRroPzp+/AoRww8ytPxS5U4lanc36gv09R4+VjCp7TIvsSSdqP5Wvy4IL5XydWcY1kgJ3L9t+tLRja/9I9sC5Ecg3AbPiyn3lwcVz821c+Tiehtae9sOHNV/w5ePkMqYRE7i8NF1SFr+/bMQa4MQI5KFAJnRTS/niqvl5ODSGlCMChHDDhnA1SS3mg3sSdf9uHRoIr1wmYjyQitcab2+My7//PdPUu+2Jp9W8/BsZI0Jg5ARWL24/Nubxn/AGs5GbAs6chwJ91y3fWh5esigPh5Z3Q/p9Y3f80Ud8obwbGANCYAQF1ixtfuvcDWvHjmALnBqBvBNgl33eTWnODYgQbvgQ7oip9W0d9dGHrEP9wRWzleFLdmb7xx9o+OWbOTejNjT09Naulj8eKuDbahssKYHAoMD8UdtKx62/cwwiCCBgnwAXyvZZOl0pvq13WzptXuD0eaiPgJcE/mZqsnTcOq4tvDTnjNV5Aa4tnDf2+hkI4f7yClCBcI2pTbkhXV/7mHVoIHhLQIyC3ZIxL0g11h3QWufdbrj2VJ88/nuv/6fB+BGwV2DVol1SfGC3vUWphoDHBYxLZsr42bM9ruCO4W/v6JOdu/Lukskd+HSZtwLVU1JS9uiP83Z8DAyBERH42GoZf8UVI3JqJ0+qlCL7cRL4DGozEcNg+UM1R7SWW/fU1/7KOvTknXD5GMKdwfrhUAQQQAABBBBAAAEEEEAAAQQQyGEBQrjcmRxCuOFDuKSIfiCdiH7LOtQLz4TLneVJJwgggAACCCCAAAIIIIAAAggggEB+CBDCDTOPM0Ir1xpi3G69HTWb6e0sKi54PN/fjpofS5tRIIAAAggggAACCCCAAAIIIIAAArkjQAg3zFxUVN02xvBlNysl1w8cqqUlm/V9qKPxZy/nzjTSCQII5JtARdWKCikwJnfEo8/k29gYDwIIIIAAAgg4I1ARjHwsk9WJF7bUvebMGaiKAAIIIPBuBAjhTlNv2uLl544uKCpOxTa+epq/wmEIIOBigUA4clBETT1hCFpaUona+WdjWP7gyr9XSt2YSkSXno3zcQ4EEEAAAQQQGDmBitDKi3zKeNH6wn/otUYgFLlSlGrTIk+k47VXD9dhIFyjRVQoFd9YP9yxfI4AAgggcPYFCOHOvjlnRAABFwhYIZyp9Q91Vv9msF2fqG7rrchno31CuLOhzDkQQAABBBDIDYHjIZyImFm1ZE/DxpjVmT8cqVOiVhDC5cY80QUCCCDwbgUI4d6tkcd4LgAAD9tJREFUIL+PAAJ5KWCFcFr0F9PxurqTBqgCwZWf1kqtUSLjRORnfUb2h3tjv/hDoKpmpvZJVJS+T4l8XrQUiVJrTZEeQ8tdInqCKLknFY9+Y+DCOlQTUiI/0iLvtX5Woh/pNDOfPdDwyzdPDuH8lcsvUAUF92hRV4mSraapN3TURx/KS3wGhQACCCCAgMcE/hTC6f8ULdNTieg1M6pXXWhovU+0bNBKLrJ2ws2YHzlPlapHRcvMASIlSdPUX+ioj+6wfhy6E27ynNVlY0f1/psSvVxEvS5KrzvcWfLTl5MbujzGy3ARQACBnBEghMuZqaARBBDIJYG3QzjVIFpvHexL98gmKVVXKy3rRavVSpkdWsndotUb6UTtpwLByHwxVLNo+ZUpskGULDREvqq1tGkt31CiCpWhN2cz2RkdjZs6KqpXzlVZuczUut0wZJQhvh9r0Y+kE9G1J4Rwc1YX+kf17BKRJiVyj9ZGhVXHVOqiPbGN+3PJjV4QQAABBBBA4MwFBkM46xrBV+DbY2ZlrqH0cq2UoUQf1kpVWSGc9YicMl/BrUZWN2ZE9xQYxh1a1Ix0onbOySFcIFSzXkSuzIq5VpTShpZ1Ssu/puqjm868Q34DAQQQQMAOAUI4OxSpgQACeScwEMJpeUMp9dLxEK6//3OqoPAXouR50fr7///vV2pR30sbL40PZKfNtkK4VLzWsF7jEqheNlp02VHrQnpPQ23SOt4fimxXSn0vFa/9+cDPwRXlphhVhpIpIuqjSsnhVLz2pqEhXEVo5VU+ZTyltYSV6KNvn1et1yK16UTtD/MOnwEhgAACCCDgMYHBEK4z2z9+tK/gqwM73ZS6KqvNi32iIoMhnMVi7XAbM7pngc/UFVqpeUqp21Lx2oG/6wZ3wh3uLEqOG917TGv5rBK95f85b9NKpqTj0Y94jJfhIoAAAjkjQAiXM1NBIwggkEsC73Q7aiAUOSSiOkXklaH9dvf2fbS0qPCCoSGcyDJfIFyWySpzXkesrnXg4jhU06BFNlvhmT8UuVkpdZ/WUq+UflaLulyJ7k7Fo9cNDeECochtotRPRUvj0HNqJb9Nx2v/I5fc6AUBBBBAAAEEzlxgaAhXZBaOLyqUvVp0XToejQRCkS8PhnDWoy/Ep5/WIodFSVxESpSolSeHcNlM5jVrR521G1+JdB/vSOmXU/Hox8+8Q34DAQQQQMAOAUI4OxSpgQACeSfwTiGcP1STFNHRdCJ6z8mDHrwddXAnnMhXjEB4X/adQrhAqGa3qeT+PfHar1m1/OHIPymRJSeHcP5gzfWiZLO1205isUzeYTMgBBBAAAEEPC4wNIQbeDZsuOYzZib7tPX4iqEhnD9c8x3rFtN0vOsDIg9m/dWrFiqtm04O4TqzfbtG+wrf0GZ2Trp+U5vHeRk+AgggkDMChHA5MxU0ggACuSTwjjvhwpEvipYviJYbU/XdyUsqyy4sLNC3W89x+ytCOGtX3M7eY11rS0aVXmzdYipKv35yCGc9/2WUUfiSFvm5YXR9yXLS2bKwGLooHY8ef3trLvnRCwIIIIAAAgicvsDJIdzQ3zxhJ1wo8hUt6kbR2RuUqQq1T335z92OmopvrA+EIk9pUYV9YtzywrHCVyvGdL/f0EYwHa/97ul3xpEIIIAAAnYKEMLZqUktBBDIG4F3CuEuueTa4sIp539TiawZHKwWiaXjtUumh1fNKxC97S/thPOHahLW21PT8ei9M0I1Vxui60Sp87WWo0pkh3V7STpRe4M/FPmCErkplYgutc4zI7SiUonxc6XU9IEQTstR0SqSrt/4cN6gMxAEEEAAAQQ8KjAYwnUpde7+2MbD7xTCvS9063uLxHxYKZn99jH6v0XUtSfshFNmMBWra5i+KDLFV6jWKyXXH79m0ebX04m6uz3KzLARQACBERcghBvxKaABBBBwpUB1dcH03mkTO/tK3nw5uaHrrx5DdXXBpZnJ057vHn1Qkhv6h6tj7Yrz9euifc2bX7OuvIc7ns8RQAABBBBAIP8E/JXLL3ij0/f6oR11x4Yb3dRFy0rLpHT8c8UHDvFYi+G0+BwBBBBwVoAQzllfqiOAAAIIIIAAAggggAACCCCAAAIIICCEcCwCBBBAAAEEEEAAAQQQQAABBBBAAAEEHBYghHMYmPIIIIAAAggggAACCCCAAAIIIIAAAggQwrEGEEAAAQQQQAABBBBAAAEEEEAAAQQQcFiAEM5hYMojgAACCCCAAAIIIIAAAggggAACCCBACMcaQAABBBBAAAEEEEAAAQQQQAABBBBAwGEBQjiHgSmPAAIIIIAAAggggAACCCCAAAIIIIAAIRxrAAEEEEAAAQQQQAABBBBAAAEEEEAAAYcFCOEcBqY8AggggAACCCCAAAIIIIAAAggggAAChHCsAQQQQAABBBBAAAEEEEAAAQQQQAABBBwWIIRzGJjyCCCAAAIIIIAAAggggAACCCCAAAIIEMKxBhBAAAEEEEAAAQQQQAABBBBAAAEEEHBYgBDOYWDKI4AAAggggAACCCCAAAIIIIAAAgggQAjHGkAAAQQQQAABBBBAAAEEEEAAAQQQQMBhAUI4h4EpjwACCCCAAAIIIIAAAggggAACCCCAACEcawABBBBAAAEEEEAAAQQQQAABBBBAAAGHBQjhHAamPAIIIIAAAggggAACCCCAAAIIIIAAAoRwrAEEEEAAAQQQQAABBBBAAAEEEEAAAQQcFiCEcxiY8ggggAACCCCAgL961UJlml/RoiqV6G4tqkUM9fV0bONWS6di8aprfIa+S5RUiZYXTSW1ezqLvynJDf3+cORrolV1f0Zu3bul9oWB44ORWT6l7hWt16Xqo5sQRgABBBBAAAEEEMh9AUK43J8jOkQAAQQQQAABFwtMr/7EhAJd9EctElNi3itajRElH9Na4ulE9FuBcORaEfW4Fl0nIr8RLQuUUndq0Xek49FvB6pXTRLT3K5F/aH/5dcqfRPLiwxfplVEHUofK15qBXUu5qF1BBBAAAEEEEDAMwKEcJ6ZagaKAAIIIIAAAiMhMLALTusmEfPjqXjdg4M9TJ6zuuzl5IYufyiyXYm8kkpErxn8LBCOPCBazUwlamda/xaoXrlYtFFvavm+Unq80nJ1d2//rH3Nmw+NxJg4JwIIIIAAAggggMCZCxDCnbkZv4EAAggggAACCJy2QCCwrEgmlB4Upc7Xon8jIk0qo+9PNdYdGPjsPWW9ovVr1k63IUUvVUrGpOK1x6/V/OGaNUrkO9YxWWXO64jVtZ52ExyIAAIIIIAAAgggMOIChHAjPgU0gAACCCCAAAL5LjBt8fJzy3yFn1MiS5RItTVeU8ybdKYw5ivIHhEtG0Tph4c6ZLOG7mjY+LvBfxu8bdX6WWs1PZ3Y+Hy+uzE+BBBAAAEEEEAgnwQI4fJpNhkLAggggAACCOSgwDKfyIPZ42Haok+O14X9TUoknUpEPxQIRQ5pUbF0ovbmk5q3rtO09W8VoZUXGWJsF5EHRHRQicr872Fz/qEddcdycMC0hAACCCCAAAIIIPBnBAjhWBYIIIAAAggggICDAjMWR24wfPK3Oivf6TN8HQWSudSnjKe06G+n49E7/KGav1NKfqC1/pYYepPOGMWGT1eKluut58RZz44bO6qnSURlrBczGJPOm1Hg8z1rvcghHY9GHGyd0ggggAACCCCAAAI2ChDC2YhJKQQQQAABBBBA4GSBGaFVlxui7xMlgYHPtH5NRD0sRtc/pmIPdoos8/mDJZ8TZXzNeg7c4O9boVw6EV3rD0c2KFG3i8pemopt2mt97g/XfEaJ3KtNfXu6PvoT1BFAAAEEEEAAAQRyX4AQLvfniA4RQAABBBBAIA8ELp6zbGzhqJLxHYm6/YO3mZ40LOUPrphkmkWqo/HooaG3sObB8BkCAggggAACCCDgeQFCOM8vAQAQQAABBBBAAAEEEEAAAQQQQAABBJwWIIRzWpj6CCCAAAIIIIAAAggggAACCCCAAAKeFyCE8/wSAAABBBBAAAEEEEAAAQQQQAABBBBAwGkBQjinhamPAAIIIIAAAggggAACCCCAAAIIIOB5AUI4zy8BABBAAAEEEEAAAQQQQAABBBBAAAEEnBYghHNamPoIIIAAAggggAACCCCAAAIIIIAAAp4XIITz/BIAAAEEEEAAAQQQQAABBBBAAAEEEEDAaQFCOKeFqY8AAggggAACCCCAAAIIIIAAAggg4HkBQjjPLwEAEEAAAQQQQAABBBBAAAEEEEAAAQScFiCEc1qY+ggggAACCCCAAAIIIIAAAggggAACnhcghPP8EgAAAQQQQAABBBBAAAEEEEAAAQQQQMBpAUI4p4WpjwACCCCAAAIIIIAAAggggAACCCDgeQFCOM8vAQAQQAABBBBAAAEEEEAAAQQQQAABBJwWIIRzWpj6CCCAAAIIIIAAAggggAACCCCAAAKeFyCE8/wSAAABBBBAAAEEEEAAAQQQQAABBBBAwGkBQjinhamPAAIIIIAAAggggAACCCCAAAIIIOB5AUI4zy8BABBAAAEEEEAAAQQQQAABBBBAAAEEnBYghHNamPoIIIAAAggggAACCCCAAAIIIIAAAp4XIITz/BIAAAEEEEAAAQQQQAABBBBAAAEEEEDAaQFCOKeFqY8AAggggAACCCCAAAIIIIAAAggg4HkBQjjPLwEAEEAAAQQQQAABBBBAAAEEEEAAAQScFiCEc1qY+ggggAACCCCAAAIIIIAAAggggAACnhcghPP8EgAAAQQQQAABBBBAAAEEEEAAAQQQQMBpAUI4p4WpjwACCCCAAAIIIIAAAggggAACCCDgeQFCOM8vAQAQQAABBBBAAAEEEEAAAQQQQAABBJwWIIRzWpj6CCCAAAIIIIAAAggggAACCCCAAAKeFyCE8/wSAAABBBBAAAEEEEAAAQQQQAABBBBAwGkBQjinhamPAAIIIIAAAggggAACCCCAAAIIIOB5AUI4zy8BABBAAAEEEEAAAQQQQAABBBBAAAEEnBYghHNamPoIIIAAAggggAACCCCAAAIIIIAAAp4XIITz/BIAAAEEEEAAAQQQQAABBBBAAAEEEEDAaQFCOKeFqY8AAggggAACCCCAAAIIIIAAAggg4HkBQjjPLwEAEEAAAQQQQAABBBBAAAEEEEAAAQScFiCEc1qY+ggggAACCCCAAAIIIIAAAggggAACnhcghPP8EgAAAQQQQAABBBBAAAEEEEAAAQQQQMBpAUI4p4WpjwACCCCAAAIIIIAAAggggAACCCDgeQFCOM8vAQAQQAABBBBAAAEEEEAAAQQQQAABBJwWIIRzWpj6CCCAAAIIIIAAAggggAACCCCAAAKeFyCE8/wSAAABBBBAAAEEEEAAAQQQQAABBBBAwGmB/wPr++g6gV0LVAAAAABJRU5ErkJggg==", - "text/html": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# import plotly.express as px\n", - "# tips = px.data.tips()\n", - "# fig = px.bar(tips, x=\"sex\", y=\"total_bill\", color=\"smoker\", barmode=\"group\")\n", - "\n", - "# fig.update_layout({\n", - "# \"plot_bgcolor\": \"rgba(0, 0, 0, 0)\",\n", - "# \"paper_bgcolor\": \"rgba(0, 0, 0, 0)\",\n", - "# })\n", - "\n", - "# fig.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "a1ea9ccd-0b44-470c-aa44-9ea3bcf71dc7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "'5.18.0'" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import plotly\n", - "plotly.__version__" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "2cb1d2ea-8e06-40bb-8741-a37121451058", - "metadata": {}, - "outputs": [], - "source": [ - "FigureWidget" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3 (ipykernel)", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.10.13" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -}