04-renewable-generation-profiles.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/catalystcooperative/04-renewable-generation-profiles?scriptVersionId=202379158\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"markdown","id":"a4b98447","metadata":{"papermill":{"duration":0.014297,"end_time":"2024-10-21T00:44:50.417633","exception":false,"start_time":"2024-10-21T00:44:50.403336","status":"completed"},"tags":[]},"source":["# Using the VCE Resource Adequacy Renewable Energy (RARE) Dataset\n","\n","The RARE dataset, `vcerare` in PUDL, was produced by Vibrant Clean Energy and consists of hourly, county-level renewable generation profiles for solar PV, onshore, and offshore wind in the continental United States. It was produced using outputs from the [NOAA High Resolution Rapid Refresh (HRRR) weather model](https://rapidrefresh.noaa.gov/hrrr/). Visit our [VCE Data Source](https://catalystcoop-pudl.readthedocs.io/en/nightly/data_sources/vcerare.html) page to learn more. This data is released to the public by VCE under the [CC-BY-4.0 Attribution](https://creativecommons.org/licenses/by/4.0/) license.\n","\n","## Accessing VCE RARE via CSV or Parquet\n","\n","The VCE RARE data is distributed in two forms:\n","\n","* **Raw CSV archives (Zenodo)**\n","* **Processed PUDL Parquet files (Kaggle, AWS S3, Zenodo)**\n","\n","### Raw CSV archives (Zenodo)\n","\n","The raw data is organized into multiple CSV files -- each one contains a single year for data for a single type of generation (solar PV, onshore wind, offshore wind), an index column for the hour of the year (1 - 8760) and one column for each of the ~3000 counties containing the modeled capacity factor. This format is optimized for use in Excel and limits the number of rows and columns so that Excel can handle handle it.\n","\n","See the [README in the Zenodo archive](https://zenodo.org/records/13937523) for more detail on the raw data.\n","\n","### Processed PUDL Parquet files (Kaggle, AWS S3, versioned PUDL releases on Zenodo)\n","\n","The processed data are published as a single [Apache Parquet](https://parquet.apache.org/) file. Parquet is an open file format designed for doing analytical work with larger datasets. The processed data has been reshaped from the original wide format to use a [tidy data format](https://www.jstatsoft.org/article/view/v059i10/). The county is pivoted down into its own column rather than being a column header.\n","\n","Additional columns are added to make data selection easier, and enable use in combination with other datasets. \n","\n","* Latitude\n","* Longitude\n","* County FIPS code\n","* Report year\n","* Timestamp (UTC)\n","* Separate state and county name fields (the raw data column headers are formatted as County_Name_State_Name)\n","\n","Take a look at our [data dictionary](https://catalystcoop-pudl.readthedocs.io/en/nightly/data_dictionaries/pudl_db.html#out-vcerare-hourly-available-capacity-factor) for more information on the processed table schema.\n","\n","### Which one should you use?\n","\n","If you want or need to alter the layout of the data in order to feed it into your model, are interested in a particular subset of the data, want to connect it to geospatial data, or want to view / run analysis on all the data at once, the processed PUDL Parquet files are the way to go! For context, the row limit in Excel is a little more than 1 million rows. The processed PUDL table contains 136,437,000 rows. Below, we'll show you how to wrangle this dataset without blowing up your computer.\n","\n","If you're working in Excel, or the wide-format 8760 data is the exact shape you need for modeling, then you may prefer to use the raw CSV files.\n","\n","This notebook also includes examples of how to select and download a subset of the Parquet data as a CSV."]},{"cell_type":"code","execution_count":1,"id":"7404bf7b","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:44:50.445955Z","iopub.status.busy":"2024-10-21T00:44:50.445323Z","iopub.status.idle":"2024-10-21T00:44:51.472524Z","shell.execute_reply":"2024-10-21T00:44:51.471092Z"},"papermill":{"duration":1.044757,"end_time":"2024-10-21T00:44:51.47546","exception":false,"start_time":"2024-10-21T00:44:50.430703","status":"completed"},"tags":[]},"outputs":[],"source":["import pandas as pd\n","from pathlib import Path"]},{"cell_type":"markdown","id":"3189670c","metadata":{"papermill":{"duration":0.012774,"end_time":"2024-10-21T00:44:51.502538","exception":false,"start_time":"2024-10-21T00:44:51.489764","status":"completed"},"tags":[]},"source":["# Read the data from Parquet and SQLite using Pandas\n","\n","* First we'll define a couple of paths pointing to where the data lives on Kaggle.\n","* Then we'll read the entire VCE RARE dataset into a Pandas dataframe and inspect it."]},{"cell_type":"code","execution_count":2,"id":"b3f90372","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:44:51.530815Z","iopub.status.busy":"2024-10-21T00:44:51.530191Z","iopub.status.idle":"2024-10-21T00:45:11.753446Z","shell.execute_reply":"2024-10-21T00:45:11.752114Z"},"papermill":{"duration":20.24075,"end_time":"2024-10-21T00:45:11.756321","exception":false,"start_time":"2024-10-21T00:44:51.515571","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>datetime_utc</th>\n","      <th>hour_of_year</th>\n","      <th>report_year</th>\n","      <th>county_id_fips</th>\n","      <th>county_or_lake_name</th>\n","      <th>state</th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>capacity_factor_solar_pv</th>\n","      <th>capacity_factor_onshore_wind</th>\n","      <th>capacity_factor_offshore_wind</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>45001</td>\n","      <td>abbeville</td>\n","      <td>SC</td>\n","      <td>34.223488</td>\n","      <td>-82.458885</td>\n","      <td>0.0</td>\n","      <td>0.576514</td>\n","      <td>0.592741</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>22001</td>\n","      <td>acadia</td>\n","      <td>LA</td>\n","      <td>30.294407</td>\n","      <td>-92.411354</td>\n","      <td>0.0</td>\n","      <td>0.000564</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>51001</td>\n","      <td>accomack</td>\n","      <td>VA</td>\n","      <td>37.877872</td>\n","      <td>-75.591232</td>\n","      <td>0.0</td>\n","      <td>0.587439</td>\n","      <td>0.970934</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>16001</td>\n","      <td>ada</td>\n","      <td>ID</td>\n","      <td>43.450245</td>\n","      <td>-116.24041</td>\n","      <td>0.007291</td>\n","      <td>0.300578</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>19001</td>\n","      <td>adair</td>\n","      <td>IA</td>\n","      <td>41.328396</td>\n","      <td>-94.471359</td>\n","      <td>0.0</td>\n","      <td>0.996613</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>21001</td>\n","      <td>adair</td>\n","      <td>KY</td>\n","      <td>37.10574</td>\n","      <td>-85.279732</td>\n","      <td>0.0</td>\n","      <td>0.919268</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>29001</td>\n","      <td>adair</td>\n","      <td>MO</td>\n","      <td>40.193512</td>\n","      <td>-92.59639</td>\n","      <td>0.0</td>\n","      <td>0.519462</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>40001</td>\n","      <td>adair</td>\n","      <td>OK</td>\n","      <td>35.887959</td>\n","      <td>-94.662949</td>\n","      <td>0.0</td>\n","      <td>0.026519</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>08001</td>\n","      <td>adams</td>\n","      <td>CO</td>\n","      <td>39.872505</td>\n","      <td>-104.330345</td>\n","      <td>0.0</td>\n","      <td>0.548774</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>16003</td>\n","      <td>adams</td>\n","      <td>ID</td>\n","      <td>44.826714</td>\n","      <td>-116.363823</td>\n","      <td>0.000134</td>\n","      <td>0.616433</td>\n","      <td>0.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["          datetime_utc  hour_of_year  report_year county_id_fips  \\\n","0  2019-01-01 00:00:00             1         2019          45001   \n","1  2019-01-01 00:00:00             1         2019          22001   \n","2  2019-01-01 00:00:00             1         2019          51001   \n","3  2019-01-01 00:00:00             1         2019          16001   \n","4  2019-01-01 00:00:00             1         2019          19001   \n","5  2019-01-01 00:00:00             1         2019          21001   \n","6  2019-01-01 00:00:00             1         2019          29001   \n","7  2019-01-01 00:00:00             1         2019          40001   \n","8  2019-01-01 00:00:00             1         2019          08001   \n","9  2019-01-01 00:00:00             1         2019          16003   \n","\n","  county_or_lake_name state   latitude   longitude  capacity_factor_solar_pv  \\\n","0           abbeville    SC  34.223488  -82.458885                       0.0   \n","1              acadia    LA  30.294407  -92.411354                       0.0   \n","2            accomack    VA  37.877872  -75.591232                       0.0   \n","3                 ada    ID  43.450245  -116.24041                  0.007291   \n","4               adair    IA  41.328396  -94.471359                       0.0   \n","5               adair    KY   37.10574  -85.279732                       0.0   \n","6               adair    MO  40.193512   -92.59639                       0.0   \n","7               adair    OK  35.887959  -94.662949                       0.0   \n","8               adams    CO  39.872505 -104.330345                       0.0   \n","9               adams    ID  44.826714 -116.363823                  0.000134   \n","\n","   capacity_factor_onshore_wind  capacity_factor_offshore_wind  \n","0                      0.576514                       0.592741  \n","1                      0.000564                            0.0  \n","2                      0.587439                       0.970934  \n","3                      0.300578                            0.0  \n","4                      0.996613                            0.0  \n","5                      0.919268                            0.0  \n","6                      0.519462                            0.0  \n","7                      0.026519                            0.0  \n","8                      0.548774                            0.0  \n","9                      0.616433                            0.0  "]},"execution_count":2,"metadata":{},"output_type":"execute_result"}],"source":["# These paths are where we can find the PUDL data on the Kaggle machine\n","pudl_path = Path(\"/kaggle/input/pudl-project\")\n","pq_path = pudl_path / \"pudl_parquet\"\n","assert pq_path.exists()\n","\n","# Load the full RARE dataset from Parquet into a pandas dataframe\n","usa_rare = pd.read_parquet(\n","    pq_path / \"out_vcerare__hourly_available_capacity_factor.parquet\",\n","    engine=\"pyarrow\",\n","    dtype_backend=\"pyarrow\",\n",")\n","\n","# Inspect the first few of the big dataframe\n","usa_rare.head(10)"]},{"cell_type":"code","execution_count":3,"id":"059dbc28","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:45:11.786028Z","iopub.status.busy":"2024-10-21T00:45:11.785102Z","iopub.status.idle":"2024-10-21T00:45:14.290209Z","shell.execute_reply":"2024-10-21T00:45:14.289046Z"},"papermill":{"duration":2.52345,"end_time":"2024-10-21T00:45:14.293505","exception":false,"start_time":"2024-10-21T00:45:11.770055","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 136437000 entries, 0 to 136436999\n","Data columns (total 11 columns):\n"," #   Column                         Non-Null Count      Dtype                 \n","---  ------                         --------------      -----                 \n"," 0   datetime_utc                   136437000 non-null  timestamp[ms][pyarrow]\n"," 1   hour_of_year                   136437000 non-null  int32[pyarrow]        \n"," 2   report_year                    136437000 non-null  int32[pyarrow]        \n"," 3   county_id_fips                 135955200 non-null  string[pyarrow]       \n"," 4   county_or_lake_name            136437000 non-null  string[pyarrow]       \n"," 5   state                          136437000 non-null  string[pyarrow]       \n"," 6   latitude                       136437000 non-null  float[pyarrow]        \n"," 7   longitude                      136437000 non-null  float[pyarrow]        \n"," 8   capacity_factor_solar_pv       136437000 non-null  float[pyarrow]        \n"," 9   capacity_factor_onshore_wind   136437000 non-null  float[pyarrow]        \n"," 10  capacity_factor_offshore_wind  136437000 non-null  float[pyarrow]        \n","dtypes: float[pyarrow](5), int32[pyarrow](2), string[pyarrow](3), timestamp[ms][pyarrow](1)\n","memory usage: 8.0 GB\n"]}],"source":["# How big is this data and what are the types?\n","usa_rare.info(memory_usage=\"deep\", show_counts=True)"]},{"cell_type":"markdown","id":"2c8066f6","metadata":{"papermill":{"duration":0.013707,"end_time":"2024-10-21T00:45:14.321338","exception":false,"start_time":"2024-10-21T00:45:14.307631","status":"completed"},"tags":[]},"source":["## Load geospatial data to make maps\n","\n","* The processed Parquet version of the VCE RARE data includes standardized FIPS codes, making it easy to join with geospatial data from the US Census and other sources at the county level.\n","* PUDL includes the Census Demographic Profile 1 (DP1) database, which reports demographic information at the census tract, county, and state level, and also provides geometries for each of those areas.\n","* We'll load the DP1 data and grab the geometries so we can make some maps showing us what the renewable generation profiles look like."]},{"cell_type":"code","execution_count":4,"id":"c1ab41e2","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:45:14.353206Z","iopub.status.busy":"2024-10-21T00:45:14.351914Z","iopub.status.idle":"2024-10-21T00:45:15.480434Z","shell.execute_reply":"2024-10-21T00:45:15.478901Z"},"papermill":{"duration":1.148707,"end_time":"2024-10-21T00:45:15.483832","exception":false,"start_time":"2024-10-21T00:45:14.335125","status":"completed"},"tags":[]},"outputs":[],"source":["import geopandas as gpd\n","import sqlalchemy as sa\n","import matplotlib\n","import matplotlib.pyplot as plt"]},{"cell_type":"code","execution_count":5,"id":"9a077017","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:45:15.517228Z","iopub.status.busy":"2024-10-21T00:45:15.516557Z","iopub.status.idle":"2024-10-21T00:45:23.12431Z","shell.execute_reply":"2024-10-21T00:45:23.122945Z"},"papermill":{"duration":7.635426,"end_time":"2024-10-21T00:45:23.133618","exception":false,"start_time":"2024-10-21T00:45:15.498192","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x800 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Create the SQLAlchemy engine connecting to census spatial data\n","dp1_engine = sa.create_engine(\"sqlite:///\" + str((pudl_path / \"censusdp1tract.sqlite\").absolute()))\n","\n","# Read the county geometries from the database\n","county_gdf = (\n","    gpd.read_postgis(\n","        \"county_2010census_dp1\",\n","        con=dp1_engine,\n","        geom_col=\"shape\"\n","    )\n","    .rename(columns={\"geoid10\": \"county_id_fips\", \"shape\": \"geometry\"})\n","    .set_geometry(\"geometry\")\n","    .set_crs(\"EPSG:4326\")\n","    .loc[:, [\"county_id_fips\", \"geometry\"]]\n","    .assign(county_id_fips=lambda x: x[\"county_id_fips\"].astype(\"string\"))\n",")\n","\n","# Filter out Alaska, Hawaii, and other territories\n","conus_counties = county_gdf[\n","    ~county_gdf[\"county_id_fips\"].str.startswith((\"02\", \"15\", \"60\", \"66\", \"69\", \"72\", \"78\"))\n","]\n","\n","# Plot the continental US with a larger figure size\n","fig, ax = plt.subplots(1, 1, figsize=(12, 8))\n","conus_counties.plot(ax=ax)\n","\n","# Set axis limits to focus on the continental US\n","ax.set_xlim(-125, -66.5)\n","ax.set_ylim(24, 50)\n","\n","# Add title and labels\n","ax.set_title('Continental US Counties')\n","ax.set_xlabel('Longitude')\n","ax.set_ylabel('Latitude')\n","\n","# Show the plot\n","plt.show()"]},{"cell_type":"markdown","id":"e4fd8ade","metadata":{"papermill":{"duration":0.019991,"end_time":"2024-10-21T00:45:23.176098","exception":false,"start_time":"2024-10-21T00:45:23.156107","status":"completed"},"tags":[]},"source":["## Filter the data for a single state\n","\n","* The make things run a bit faster in the examples below, we'll work with a single state at a time.\n","* We can select a single state's worth of data from the nationwide dataframe using the state abbreviation."]},{"cell_type":"code","execution_count":6,"id":"64c12fcc","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:45:23.218814Z","iopub.status.busy":"2024-10-21T00:45:23.217733Z","iopub.status.idle":"2024-10-21T00:45:46.236288Z","shell.execute_reply":"2024-10-21T00:45:46.233777Z"},"papermill":{"duration":23.045645,"end_time":"2024-10-21T00:45:46.241924","exception":false,"start_time":"2024-10-21T00:45:23.196279","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","Index: 2803200 entries, 8 to 136436996\n","Data columns (total 11 columns):\n"," #   Column                         Non-Null Count    Dtype                 \n","---  ------                         --------------    -----                 \n"," 0   datetime_utc                   2803200 non-null  timestamp[ms][pyarrow]\n"," 1   hour_of_year                   2803200 non-null  int32[pyarrow]        \n"," 2   report_year                    2803200 non-null  int32[pyarrow]        \n"," 3   county_id_fips                 2803200 non-null  string[pyarrow]       \n"," 4   county_or_lake_name            2803200 non-null  string[pyarrow]       \n"," 5   state                          2803200 non-null  string[pyarrow]       \n"," 6   latitude                       2803200 non-null  float[pyarrow]        \n"," 7   longitude                      2803200 non-null  float[pyarrow]        \n"," 8   capacity_factor_solar_pv       2803200 non-null  float[pyarrow]        \n"," 9   capacity_factor_onshore_wind   2803200 non-null  float[pyarrow]        \n"," 10  capacity_factor_offshore_wind  2803200 non-null  float[pyarrow]        \n","dtypes: float[pyarrow](5), int32[pyarrow](2), string[pyarrow](3), timestamp[ms][pyarrow](1)\n","memory usage: 187.9 MB\n"]}],"source":["colorado_rare = usa_rare[usa_rare.state == \"CO\"].dropna(subset=[\"county_id_fips\"])\n","colorado_rare.info(memory_usage=\"deep\", show_counts=True)"]},{"cell_type":"markdown","id":"58823005","metadata":{"papermill":{"duration":0.017672,"end_time":"2024-10-21T00:45:46.279238","exception":false,"start_time":"2024-10-21T00:45:46.261566","status":"completed"},"tags":[]},"source":["## Join county geometries to generation profiles\n","\n","* Here we merge in the county geometries so that each record in the Colorado dataframe knows what geography it pertains to."]},{"cell_type":"code","execution_count":7,"id":"ac29103f","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:45:46.316925Z","iopub.status.busy":"2024-10-21T00:45:46.316363Z","iopub.status.idle":"2024-10-21T00:45:49.19299Z","shell.execute_reply":"2024-10-21T00:45:49.191715Z"},"papermill":{"duration":2.899156,"end_time":"2024-10-21T00:45:49.195645","exception":false,"start_time":"2024-10-21T00:45:46.296489","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>county_id_fips</th>\n","      <th>geometry</th>\n","      <th>datetime_utc</th>\n","      <th>hour_of_year</th>\n","      <th>report_year</th>\n","      <th>county_or_lake_name</th>\n","      <th>state</th>\n","      <th>latitude</th>\n","      <th>longitude</th>\n","      <th>capacity_factor_solar_pv</th>\n","      <th>capacity_factor_onshore_wind</th>\n","      <th>capacity_factor_offshore_wind</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>08069</td>\n","      <td>MULTIPOLYGON (((-105.05672 40.34928, -105.0567...</td>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>1</td>\n","      <td>2019</td>\n","      <td>larimer</td>\n","      <td>CO</td>\n","      <td>40.652908</td>\n","      <td>-105.34108</td>\n","      <td>0.0</td>\n","      <td>0.132354</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>08069</td>\n","      <td>MULTIPOLYGON (((-105.05672 40.34928, -105.0567...</td>\n","      <td>2019-01-01 01:00:00</td>\n","      <td>2</td>\n","      <td>2019</td>\n","      <td>larimer</td>\n","      <td>CO</td>\n","      <td>40.652908</td>\n","      <td>-105.34108</td>\n","      <td>0.0</td>\n","      <td>0.09316</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>08069</td>\n","      <td>MULTIPOLYGON (((-105.05672 40.34928, -105.0567...</td>\n","      <td>2019-01-01 02:00:00</td>\n","      <td>3</td>\n","      <td>2019</td>\n","      <td>larimer</td>\n","      <td>CO</td>\n","      <td>40.652908</td>\n","      <td>-105.34108</td>\n","      <td>0.0</td>\n","      <td>0.085482</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>08069</td>\n","      <td>MULTIPOLYGON (((-105.05672 40.34928, -105.0567...</td>\n","      <td>2019-01-01 03:00:00</td>\n","      <td>4</td>\n","      <td>2019</td>\n","      <td>larimer</td>\n","      <td>CO</td>\n","      <td>40.652908</td>\n","      <td>-105.34108</td>\n","      <td>0.0</td>\n","      <td>0.077217</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>08069</td>\n","      <td>MULTIPOLYGON (((-105.05672 40.34928, -105.0567...</td>\n","      <td>2019-01-01 04:00:00</td>\n","      <td>5</td>\n","      <td>2019</td>\n","      <td>larimer</td>\n","      <td>CO</td>\n","      <td>40.652908</td>\n","      <td>-105.34108</td>\n","      <td>0.0</td>\n","      <td>0.104628</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>08069</td>\n","      <td>MULTIPOLYGON (((-105.05672 40.34928, -105.0567...</td>\n","      <td>2019-01-01 05:00:00</td>\n","      <td>6</td>\n","      <td>2019</td>\n","      <td>larimer</td>\n","      <td>CO</td>\n","      <td>40.652908</td>\n","      <td>-105.34108</td>\n","      <td>0.0</td>\n","      <td>0.118982</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>08069</td>\n","      <td>MULTIPOLYGON (((-105.05672 40.34928, -105.0567...</td>\n","      <td>2019-01-01 06:00:00</td>\n","      <td>7</td>\n","      <td>2019</td>\n","      <td>larimer</td>\n","      <td>CO</td>\n","      <td>40.652908</td>\n","      <td>-105.34108</td>\n","      <td>0.0</td>\n","      <td>0.09944</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>7</th>\n","      <td>08069</td>\n","      <td>MULTIPOLYGON (((-105.05672 40.34928, -105.0567...</td>\n","      <td>2019-01-01 07:00:00</td>\n","      <td>8</td>\n","      <td>2019</td>\n","      <td>larimer</td>\n","      <td>CO</td>\n","      <td>40.652908</td>\n","      <td>-105.34108</td>\n","      <td>0.0</td>\n","      <td>0.081115</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>08069</td>\n","      <td>MULTIPOLYGON (((-105.05672 40.34928, -105.0567...</td>\n","      <td>2019-01-01 08:00:00</td>\n","      <td>9</td>\n","      <td>2019</td>\n","      <td>larimer</td>\n","      <td>CO</td>\n","      <td>40.652908</td>\n","      <td>-105.34108</td>\n","      <td>0.0</td>\n","      <td>0.090724</td>\n","      <td>0.0</td>\n","    </tr>\n","    <tr>\n","      <th>9</th>\n","      <td>08069</td>\n","      <td>MULTIPOLYGON (((-105.05672 40.34928, -105.0567...</td>\n","      <td>2019-01-01 09:00:00</td>\n","      <td>10</td>\n","      <td>2019</td>\n","      <td>larimer</td>\n","      <td>CO</td>\n","      <td>40.652908</td>\n","      <td>-105.34108</td>\n","      <td>0.0</td>\n","      <td>0.100596</td>\n","      <td>0.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["  county_id_fips                                           geometry  \\\n","0          08069  MULTIPOLYGON (((-105.05672 40.34928, -105.0567...   \n","1          08069  MULTIPOLYGON (((-105.05672 40.34928, -105.0567...   \n","2          08069  MULTIPOLYGON (((-105.05672 40.34928, -105.0567...   \n","3          08069  MULTIPOLYGON (((-105.05672 40.34928, -105.0567...   \n","4          08069  MULTIPOLYGON (((-105.05672 40.34928, -105.0567...   \n","5          08069  MULTIPOLYGON (((-105.05672 40.34928, -105.0567...   \n","6          08069  MULTIPOLYGON (((-105.05672 40.34928, -105.0567...   \n","7          08069  MULTIPOLYGON (((-105.05672 40.34928, -105.0567...   \n","8          08069  MULTIPOLYGON (((-105.05672 40.34928, -105.0567...   \n","9          08069  MULTIPOLYGON (((-105.05672 40.34928, -105.0567...   \n","\n","          datetime_utc  hour_of_year  report_year county_or_lake_name state  \\\n","0  2019-01-01 00:00:00             1         2019             larimer    CO   \n","1  2019-01-01 01:00:00             2         2019             larimer    CO   \n","2  2019-01-01 02:00:00             3         2019             larimer    CO   \n","3  2019-01-01 03:00:00             4         2019             larimer    CO   \n","4  2019-01-01 04:00:00             5         2019             larimer    CO   \n","5  2019-01-01 05:00:00             6         2019             larimer    CO   \n","6  2019-01-01 06:00:00             7         2019             larimer    CO   \n","7  2019-01-01 07:00:00             8         2019             larimer    CO   \n","8  2019-01-01 08:00:00             9         2019             larimer    CO   \n","9  2019-01-01 09:00:00            10         2019             larimer    CO   \n","\n","    latitude  longitude  capacity_factor_solar_pv  \\\n","0  40.652908 -105.34108                       0.0   \n","1  40.652908 -105.34108                       0.0   \n","2  40.652908 -105.34108                       0.0   \n","3  40.652908 -105.34108                       0.0   \n","4  40.652908 -105.34108                       0.0   \n","5  40.652908 -105.34108                       0.0   \n","6  40.652908 -105.34108                       0.0   \n","7  40.652908 -105.34108                       0.0   \n","8  40.652908 -105.34108                       0.0   \n","9  40.652908 -105.34108                       0.0   \n","\n","   capacity_factor_onshore_wind  capacity_factor_offshore_wind  \n","0                      0.132354                            0.0  \n","1                       0.09316                            0.0  \n","2                      0.085482                            0.0  \n","3                      0.077217                            0.0  \n","4                      0.104628                            0.0  \n","5                      0.118982                            0.0  \n","6                       0.09944                            0.0  \n","7                      0.081115                            0.0  \n","8                      0.090724                            0.0  \n","9                      0.100596                            0.0  "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["colorado_gdf = (\n","    pd.merge(county_gdf, colorado_rare, on=\"county_id_fips\")\n","    .assign(county_id_fips=lambda x: x[\"county_id_fips\"].astype(\"string\"))\n",")\n","colorado_gdf.head(10)"]},{"cell_type":"markdown","id":"f5dadb41","metadata":{"papermill":{"duration":0.017796,"end_time":"2024-10-21T00:45:49.231261","exception":false,"start_time":"2024-10-21T00:45:49.213465","status":"completed"},"tags":[]},"source":["# Visualizing the Wind and Solar Generation Profiles"]},{"cell_type":"markdown","id":"f5c928ac","metadata":{"papermill":{"duration":0.017702,"end_time":"2024-10-21T00:45:49.266675","exception":false,"start_time":"2024-10-21T00:45:49.248973","status":"completed"},"tags":[]},"source":["## Compare Wind and Solar for a single hour\n","\n","Let's look at the wind and solar capacity factors in Colorado for a single hour, side by side."]},{"cell_type":"code","execution_count":8,"id":"de66747d","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:45:49.305639Z","iopub.status.busy":"2024-10-21T00:45:49.305206Z","iopub.status.idle":"2024-10-21T00:45:50.674072Z","shell.execute_reply":"2024-10-21T00:45:50.672704Z"},"papermill":{"duration":1.392976,"end_time":"2024-10-21T00:45:50.678031","exception":false,"start_time":"2024-10-21T00:45:49.285055","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1800x600 with 4 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["ts = pd.to_datetime(\"2020-06-21 18:00:00\")\n","one_hour = colorado_gdf[colorado_gdf.datetime_utc == ts]\n","fig, (solar_ax, wind_ax) = plt.subplots(1, 2, figsize=(18, 6))\n","\n","plt.tight_layout()\n","\n","kwargs = {\n","    \"legend\": True,\n","    \"vmin\": 0,\n","    \"vmax\": 1,\n","}\n","\n","one_hour.plot(\n","    column=\"capacity_factor_solar_pv\",\n","    ax=solar_ax,\n","    cmap=\"plasma\",\n","    **kwargs,\n",")\n","\n","solar_ax.set_title(f\"CO Solar Capacity Factor\\n{ts} UTC\")\n","solar_ax.set_xlabel(\"Longitude\")\n","solar_ax.set_ylabel(\"Latitude\")\n","\n","one_hour.plot(\n","    column=\"capacity_factor_onshore_wind\",\n","    ax=wind_ax,\n","    cmap=\"viridis\",\n","    **kwargs,\n",")\n","\n","wind_ax.set_title(f\"CO Wind Capacity Factor\\n{ts} UTC\")\n","wind_ax.set_xlabel(\"Longitude\")\n","wind_ax.set_ylabel(\"Latitude\")\n","\n","plt.show()"]},{"cell_type":"markdown","id":"00790840","metadata":{"papermill":{"duration":0.022229,"end_time":"2024-10-21T00:45:50.7204","exception":false,"start_time":"2024-10-21T00:45:50.698171","status":"completed"},"tags":[]},"source":["## Animated Capacity Factor Maps\n","\n","* Seeing how renewable energy outputs vary with time is much more interesting than a static snapshot.\n","* Matplotlib has some tools that will let us build animated maps from the hourly county timeseries contained in the RARE data.\n","* The `animate_capacity_factor()` function below will let us flexibily create a variety of different animated maps."]},{"cell_type":"code","execution_count":9,"id":"46fa467e","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:45:50.762854Z","iopub.status.busy":"2024-10-21T00:45:50.762395Z","iopub.status.idle":"2024-10-21T00:45:50.793268Z","shell.execute_reply":"2024-10-21T00:45:50.792069Z"},"papermill":{"duration":0.055919,"end_time":"2024-10-21T00:45:50.796095","exception":false,"start_time":"2024-10-21T00:45:50.740176","status":"completed"},"tags":[]},"outputs":[],"source":["import matplotlib.animation as animation\n","from tqdm import tqdm\n","\n","def animate_capacity_factor(\n","    data: pd.DataFrame,\n","    counties: gpd.GeoDataFrame,\n","    column: str,\n","    prefix: str,\n","    start: str | pd.Timestamp,\n","    end: str | pd.Timestamp,\n","    colormap: str = 'plasma',\n","    frame_duration_ms: int = 100\n",") -> None:\n","    \"\"\"Create an animated plot of a capacity factor column for a specific date range.\n","\n","    Args:\n","        data: DataFrame containing the capacity factor data with columns\n","            'county_id_fips', 'datetime_utc', and the specified capacity factor column.\n","        counties: GeoDataFrame containing the geometries of the counties with a\n","            'county_id_fips' column.\n","        column: The name of the capacity factor column to be animated.\n","        prefix: Added to the beginning of the filename when saving the video.\n","        start: The start datetime for the animation.\n","        end: The end datetime for the animation.\n","        colormap: The colormap to be used for the plot. Default is 'plasma'.\n","        frame_duration_ms: Duration of each frame in milliseconds. Default is 100 ms.\n","\n","    Returns:\n","        None: The function saves the animation as an MP4 file and displays the last frame.\n","\n","    \"\"\"\n","    # Convert start and end datetimes to pandas datetime\n","    start = pd.to_datetime(start)\n","    end = pd.to_datetime(end)\n","\n","    # Filter for the specific date range\n","    geodata = gpd.GeoDataFrame(\n","        data.loc[data.datetime_utc.between(start, end), [\"county_id_fips\", \"datetime_utc\", column]]\n","        .merge(counties, on=\"county_id_fips\")\n","        .assign(county_id_fips=lambda x: x[\"county_id_fips\"].astype(\"string\"))\n","    )\n","\n","    # Create the figure and axis for the plot\n","    fig, ax = plt.subplots(1, 1, figsize=(8, 6))\n","    # Set the initial title here so that it's not clipped by tight_layout() later.\n","    ax.set_title(f'{column.replace(\"_\", \" \").title()} {start} UTC', fontdict={'fontsize': 15})\n","    plt.tight_layout()\n","\n","    # Create a tqdm progress bar\n","    num_frames = len(geodata.datetime_utc.unique())\n","    progress_bar = tqdm(total=num_frames, desc=\"Rendering Frames\")\n","\n","    # Function to update the plot for each frame\n","    def update(frame):\n","        ax.clear()\n","        ax.axis('off')  # Ensure the axis is turned off after clearing\n","        # Filter data for the current hour\n","        current_time = geodata.datetime_utc.unique()[frame]\n","        current_data = geodata[geodata.datetime_utc == current_time]\n","\n","        # Plot the current data\n","        current_data.plot(\n","            column=column,\n","            cmap=colormap,\n","            linewidth=0.1,\n","            ax=ax,\n","            edgecolor='0.1',\n","            vmin=0,\n","            vmax=1\n","        )\n","        ax.set_title(f'{column.replace(\"_\", \" \").title()} {current_time} UTC', fontdict={'fontsize': 15})\n","        progress_bar.update(1)\n","\n","    anim = animation.FuncAnimation(fig, update, frames=num_frames, repeat=True)\n","    writer = animation.FFMpegWriter(fps=1000 / frame_duration_ms)\n","    anim.save(f\"{prefix}{column}.mp4\", writer=writer)\n","    progress_bar.close()\n","    plt.close(fig)"]},{"cell_type":"markdown","id":"02b30347","metadata":{"papermill":{"duration":0.01995,"end_time":"2024-10-21T00:45:50.835818","exception":false,"start_time":"2024-10-21T00:45:50.815868","status":"completed"},"tags":[]},"source":["## A Windy Day in Texas\n","\n","* Instead of Colorado, let's take a look at Texas, which now has more wind and solar capacity installed than any other state."]},{"cell_type":"code","execution_count":10,"id":"093a4a85","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:45:50.879629Z","iopub.status.busy":"2024-10-21T00:45:50.878383Z","iopub.status.idle":"2024-10-21T00:46:02.714673Z","shell.execute_reply":"2024-10-21T00:46:02.713173Z"},"papermill":{"duration":11.862154,"end_time":"2024-10-21T00:46:02.71781","exception":false,"start_time":"2024-10-21T00:45:50.855656","status":"completed"},"tags":[]},"outputs":[],"source":["texas_rare = usa_rare.loc[usa_rare.state == \"TX\"]"]},{"cell_type":"code","execution_count":11,"id":"6c6d0e97","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:46:02.760143Z","iopub.status.busy":"2024-10-21T00:46:02.759667Z","iopub.status.idle":"2024-10-21T00:46:30.503668Z","shell.execute_reply":"2024-10-21T00:46:30.501412Z"},"papermill":{"duration":27.769567,"end_time":"2024-10-21T00:46:30.507431","exception":false,"start_time":"2024-10-21T00:46:02.737864","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["Rendering Frames: 25it [00:27,  1.09s/it]\n"]}],"source":["start = \"2020-06-21 00:00:00\"\n","end = \"2020-06-21 23:00:00\"\n","frame_duration_ms = 100\n","\n","animate_capacity_factor(\n","    data=texas_rare,\n","    counties=county_gdf,\n","    column=\"capacity_factor_onshore_wind\",\n","    prefix=\"texas_\",\n","    start=start,\n","    end=end,\n","    colormap=\"viridis\",\n","    frame_duration_ms=frame_duration_ms,\n",")"]},{"cell_type":"markdown","id":"0ddca8d2","metadata":{"papermill":{"duration":0.023752,"end_time":"2024-10-21T00:46:30.556044","exception":false,"start_time":"2024-10-21T00:46:30.532292","status":"completed"},"tags":[]},"source":["### View the Video\n","\n","* The function above saved the video to disk, but we can read that file and play it in the notebook in the next cell.\n","* You can also download the file to your own computer and view it in a web browser or video player.\n","* Expand the \"Output\" section in the sidebar on the right side of this notebook (on Kaggle) and hover over the filename.\n","* You'll see three dots to the right of the filename with options for actions, including downloading the file and saving it locally"]},{"cell_type":"code","execution_count":12,"id":"1f0f29df","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:46:30.607193Z","iopub.status.busy":"2024-10-21T00:46:30.606675Z","iopub.status.idle":"2024-10-21T00:46:30.6153Z","shell.execute_reply":"2024-10-21T00:46:30.613978Z"},"papermill":{"duration":0.037051,"end_time":"2024-10-21T00:46:30.618282","exception":false,"start_time":"2024-10-21T00:46:30.581231","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<video src=\"texas_capacity_factor_onshore_wind.mp4\" controls  >\n","      Your browser does not support the <code>video</code> element.\n","    </video>"],"text/plain":["<IPython.core.display.Video object>"]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["from IPython.display import Video\n","Video('texas_capacity_factor_onshore_wind.mp4')"]},{"cell_type":"markdown","id":"5dec4d6a","metadata":{"papermill":{"duration":0.023417,"end_time":"2024-10-21T00:46:30.665728","exception":false,"start_time":"2024-10-21T00:46:30.642311","status":"completed"},"tags":[]},"source":["## A Sunny Day in Texas\n","\n","Now let's look at solar capacity factors over the same day in Texas."]},{"cell_type":"code","execution_count":13,"id":"057d7938","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:46:30.716728Z","iopub.status.busy":"2024-10-21T00:46:30.716205Z","iopub.status.idle":"2024-10-21T00:46:57.836896Z","shell.execute_reply":"2024-10-21T00:46:57.835489Z"},"papermill":{"duration":27.150029,"end_time":"2024-10-21T00:46:57.840032","exception":false,"start_time":"2024-10-21T00:46:30.690003","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["Rendering Frames: 25it [00:26,  1.07s/it]\n"]}],"source":["animate_capacity_factor(\n","    data=texas_rare,\n","    counties=county_gdf,\n","    column=\"capacity_factor_solar_pv\",\n","    prefix=\"texas_\",\n","    start=start,\n","    end=end,\n","    colormap=\"plasma\",\n","    frame_duration_ms=frame_duration_ms,\n",")"]},{"cell_type":"code","execution_count":14,"id":"70f4bfb5","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:46:57.895145Z","iopub.status.busy":"2024-10-21T00:46:57.894025Z","iopub.status.idle":"2024-10-21T00:46:57.902416Z","shell.execute_reply":"2024-10-21T00:46:57.901017Z"},"papermill":{"duration":0.038524,"end_time":"2024-10-21T00:46:57.904915","exception":false,"start_time":"2024-10-21T00:46:57.866391","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<video src=\"texas_capacity_factor_solar_pv.mp4\" controls  >\n","      Your browser does not support the <code>video</code> element.\n","    </video>"],"text/plain":["<IPython.core.display.Video object>"]},"execution_count":14,"metadata":{},"output_type":"execute_result"}],"source":["Video('texas_capacity_factor_solar_pv.mp4')"]},{"cell_type":"markdown","id":"461d5c72","metadata":{"papermill":{"duration":0.025957,"end_time":"2024-10-21T00:46:57.957117","exception":false,"start_time":"2024-10-21T00:46:57.93116","status":"completed"},"tags":[]},"source":["# Downloading a CSV\n","\n","* We can use pandas to save the Texas data to a CSV on Kaggle.\n","* The \"Output\" panel in the right sidebar of the notebook will show the saved file.\n","* You can click on it to download, and hover to see how big it is.\n","* Make sure that the CSV has less than a million rows or Excel won't be able to open it.\n","* CSVs that are more than a few hundred MB may also cause problems."]},{"cell_type":"markdown","id":"6836ee60","metadata":{"papermill":{"duration":0.026089,"end_time":"2024-10-21T00:46:58.010202","exception":false,"start_time":"2024-10-21T00:46:57.984113","status":"completed"},"tags":[]},"source":["## Too Big to Excel?\n","* Using the `len()` function, we can see that there are more than 11 million rows of Texas data, so if we save it as a CSV Excel won't be able to open it.\n","* Depending on what you need the data for you might take one of several different approaches:\n","  * Divide it into smaller timespans (say, quarterly) so that each one can be opened in Excel.\n","  * Select only a subset of the counties that you need.\n","  * Select only counties within a given distance of a city of interest based on latitude & longitude.\n","  * Reshape the data back into a wide format so it has more columns and fewer rows."]},{"cell_type":"code","execution_count":15,"id":"b99684f4","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:46:58.0674Z","iopub.status.busy":"2024-10-21T00:46:58.066902Z","iopub.status.idle":"2024-10-21T00:46:58.074663Z","shell.execute_reply":"2024-10-21T00:46:58.073416Z"},"papermill":{"duration":0.039071,"end_time":"2024-10-21T00:46:58.077768","exception":false,"start_time":"2024-10-21T00:46:58.038697","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["11125200"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["# How big is the Texas generation profile data?\n","# Too many for Excel!\n","len(texas_rare)"]},{"cell_type":"markdown","id":"aec2b506","metadata":{"papermill":{"duration":0.026346,"end_time":"2024-10-21T00:46:58.13126","exception":false,"start_time":"2024-10-21T00:46:58.104914","status":"completed"},"tags":[]},"source":["## Make Texas Wide Again\n","\n","* To split this dataframe into chunks that work with Excel we would have to create at least a dozen CSVs.\n","* Instead we will reshape it into a wide format resembling the original raw CSVs and save it.\n","* 5 years of 8760 data will result in 43800 rows.\n","* Each column will correspond to a place (count).\n","* We'll have to discard all of the other information about the place (lat/lon, FIPS code).\n","* Each of the data columns (solar PV, onshore wind, & offshore wind) will end up in a separate file.\n","* There will be ~250 columns -- one for each county in Texas."]},{"cell_type":"code","execution_count":16,"id":"5e129d48","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:46:58.186952Z","iopub.status.busy":"2024-10-21T00:46:58.18644Z","iopub.status.idle":"2024-10-21T00:48:13.866532Z","shell.execute_reply":"2024-10-21T00:48:13.86515Z"},"papermill":{"duration":75.711544,"end_time":"2024-10-21T00:48:13.86961","exception":false,"start_time":"2024-10-21T00:46:58.158066","status":"completed"},"tags":[]},"outputs":[],"source":["# We'll keep the time columns as the index in the reshaped dataframe.\n","time_cols = [\n","    \"report_year\",\n","    \"hour_of_year\",\n","    \"datetime_utc\",\n","]\n","\n","# Each of the data columns will be used to create a separate CSV\n","data_cols = [\n","    \"capacity_factor_solar_pv\",\n","    \"capacity_factor_onshore_wind\",\n","    \"capacity_factor_offshore_wind\",\n","]\n","\n","unstacked = {}\n","# For each of the data columns:\n","for data_col in data_cols:\n","    unstacked[data_col] = (\n","        # Create a composite place__state column which will be used as output column headers\n","        texas_rare.assign(place_name=lambda df: df[\"county_or_lake_name\"] + \"__\" + df[\"state\"].str.lower())\n","        # Make the time and place columns the dataframe index in preparation for unstacking\n","        .set_index(time_cols + [\"place_name\"])\n","        # Other than the index columns, only the data column will be retained:\n","        .loc[:, [data_col]]\n","        # Convert each value within the place_name column into its own column header\n","        .unstack(\"place_name\")\n","    )\n","    # Simplify the dataframe column multi-index to produce a simple CSV output\n","    unstacked[data_col].columns = unstacked[data_col].columns.droplevel()\n","    unstacked[data_col].columns.name = None\n","    unstacked[data_col] = unstacked[data_col].reset_index()\n","    # Save the CSV, without the integer index column\n","    unstacked[data_col].to_csv(f\"{data_col}.csv\", index=False)"]},{"cell_type":"code","execution_count":17,"id":"1c14ee4c","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:48:13.92497Z","iopub.status.busy":"2024-10-21T00:48:13.924472Z","iopub.status.idle":"2024-10-21T00:48:13.932496Z","shell.execute_reply":"2024-10-21T00:48:13.931198Z"},"papermill":{"duration":0.039412,"end_time":"2024-10-21T00:48:13.935544","exception":false,"start_time":"2024-10-21T00:48:13.896132","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(43800, 257)"]},"execution_count":17,"metadata":{},"output_type":"execute_result"}],"source":["unstacked[\"capacity_factor_solar_pv\"].shape"]},{"cell_type":"code","execution_count":18,"id":"18de551b","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:48:13.992125Z","iopub.status.busy":"2024-10-21T00:48:13.991507Z","iopub.status.idle":"2024-10-21T00:48:14.038126Z","shell.execute_reply":"2024-10-21T00:48:14.036924Z"},"papermill":{"duration":0.077386,"end_time":"2024-10-21T00:48:14.040804","exception":false,"start_time":"2024-10-21T00:48:13.963418","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>report_year</th>\n","      <th>hour_of_year</th>\n","      <th>datetime_utc</th>\n","      <th>anderson__tx</th>\n","      <th>andrews__tx</th>\n","      <th>angelina__tx</th>\n","      <th>aransas__tx</th>\n","      <th>archer__tx</th>\n","      <th>armstrong__tx</th>\n","      <th>atascosa__tx</th>\n","      <th>...</th>\n","      <th>willacy__tx</th>\n","      <th>williamson__tx</th>\n","      <th>wilson__tx</th>\n","      <th>winkler__tx</th>\n","      <th>wise__tx</th>\n","      <th>wood__tx</th>\n","      <th>yoakum__tx</th>\n","      <th>young__tx</th>\n","      <th>zapata__tx</th>\n","      <th>zavala__tx</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2019</td>\n","      <td>1</td>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","     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2023-12-31 21:00:00      0.437149   \n","43798         2023          8759  2023-12-31 22:00:00      0.222166   \n","43799         2023          8760  2023-12-31 23:00:00      0.075862   \n","\n","       andrews__tx  angelina__tx  aransas__tx  archer__tx  armstrong__tx  \\\n","0              0.0           0.0          0.0         0.0            0.0   \n","1              0.0           0.0          0.0         0.0            0.0   \n","2              0.0           0.0          0.0         0.0            0.0   \n","3              0.0           0.0          0.0         0.0            0.0   \n","4              0.0           0.0          0.0         0.0            0.0   \n","...            ...           ...          ...         ...            ...   \n","43795     0.815655      0.486621     0.608957    0.571901        0.74037   \n","43796     0.760839      0.411626     0.541783    0.428161       0.736186   \n","43797     0.626489      0.301823     0.478662    0.287033       0.588715   \n","43798     0.419079      0.139857     0.276433    0.107385       0.364805   \n","43799     0.281206      0.057498     0.120862    0.028853       0.217205   \n","\n","       atascosa__tx  ...  willacy__tx  williamson__tx  wilson__tx  \\\n","0               0.0  ...          0.0             0.0         0.0   \n","1               0.0  ...          0.0             0.0         0.0   \n","2               0.0  ...          0.0             0.0         0.0   \n","3               0.0  ...          0.0             0.0         0.0   \n","4               0.0  ...          0.0             0.0         0.0   \n","...             ...  ...          ...             ...         ...   \n","43795      0.751983  ...     0.701344        0.772169    0.761171   \n","43796      0.687952  ...     0.640594        0.687755    0.687351   \n","43797       0.54395  ...     0.505663         0.53085    0.535899   \n","43798       0.32679  ...     0.302033        0.304022    0.315331   \n","43799      0.184707  ...     0.177026        0.152514    0.168825   \n","\n","       winkler__tx  wise__tx  wood__tx  yoakum__tx  young__tx  zapata__tx  \\\n","0              0.0       0.0       0.0         0.0        0.0         0.0   \n","1              0.0       0.0       0.0         0.0        0.0         0.0   \n","2              0.0       0.0       0.0         0.0        0.0         0.0   \n","3              0.0       0.0       0.0         0.0        0.0         0.0   \n","4              0.0       0.0       0.0         0.0        0.0         0.0   \n","...            ...       ...       ...         ...        ...         ...   \n","43795     0.818361  0.492159  0.457078    0.822546   0.655998    0.769075   \n","43796     0.762727  0.395522  0.373829    0.767546   0.478981    0.705326   \n","43797     0.625765  0.319774  0.271825    0.630191   0.311161    0.565043   \n","43798     0.420701  0.210894  0.143416    0.418215   0.099864    0.358323   \n","43799     0.285545  0.037998  0.026626     0.27701    0.04645    0.223029   \n","\n","       zavala__tx  \n","0             0.0  \n","1             0.0  \n","2             0.0  \n","3             0.0  \n","4             0.0  \n","...           ...  \n","43795    0.768578  \n","43796     0.70769  \n","43797    0.567476  \n","43798    0.357441  \n","43799    0.220325  \n","\n","[43800 rows x 257 columns]"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["unstacked[\"capacity_factor_solar_pv\"]"]},{"cell_type":"markdown","id":"ced3203c","metadata":{"papermill":{"duration":0.027139,"end_time":"2024-10-21T00:48:14.096409","exception":false,"start_time":"2024-10-21T00:48:14.06927","status":"completed"},"tags":[]},"source":["## Inspect the outputs\n","* Download the CSV using the menu in the \"Output\" sidebar on the right.\n","* How big are the CSVs we just saved? Can you open them in Excel?\n","* Let's read one of them back into pandas and take a look at it."]},{"cell_type":"code","execution_count":19,"id":"0a8e5091","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:48:14.153385Z","iopub.status.busy":"2024-10-21T00:48:14.152887Z","iopub.status.idle":"2024-10-21T00:48:14.72082Z","shell.execute_reply":"2024-10-21T00:48:14.719485Z"},"papermill":{"duration":0.599591,"end_time":"2024-10-21T00:48:14.723518","exception":false,"start_time":"2024-10-21T00:48:14.123927","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>report_year</th>\n","      <th>hour_of_year</th>\n","      <th>datetime_utc</th>\n","      <th>anderson__tx</th>\n","      <th>andrews__tx</th>\n","      <th>angelina__tx</th>\n","      <th>aransas__tx</th>\n","      <th>archer__tx</th>\n","      <th>armstrong__tx</th>\n","      <th>atascosa__tx</th>\n","      <th>...</th>\n","      <th>willacy__tx</th>\n","      <th>williamson__tx</th>\n","      <th>wilson__tx</th>\n","      <th>winkler__tx</th>\n","      <th>wise__tx</th>\n","      <th>wood__tx</th>\n","      <th>yoakum__tx</th>\n","      <th>young__tx</th>\n","      <th>zapata__tx</th>\n","      <th>zavala__tx</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>2019</td>\n","      <td>1</td>\n","      <td>2019-01-01 00:00:00</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>...</td>\n","      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<td>2023</td>\n","      <td>8756</td>\n","      <td>2023-12-31 19:00:00</td>\n","      <td>0.478205</td>\n","      <td>0.815655</td>\n","      <td>0.486621</td>\n","      <td>0.608957</td>\n","      <td>0.571901</td>\n","      <td>0.74037</td>\n","      <td>0.751983</td>\n","      <td>...</td>\n","      <td>0.701344</td>\n","      <td>0.772169</td>\n","      <td>0.761171</td>\n","      <td>0.818361</td>\n","      <td>0.492159</td>\n","      <td>0.457078</td>\n","      <td>0.822546</td>\n","      <td>0.655998</td>\n","      <td>0.769075</td>\n","      <td>0.768578</td>\n","    </tr>\n","    <tr>\n","      <th>43796</th>\n","      <td>2023</td>\n","      <td>8757</td>\n","      <td>2023-12-31 20:00:00</td>\n","      <td>0.475616</td>\n","      <td>0.760839</td>\n","      <td>0.411626</td>\n","      <td>0.541783</td>\n","      <td>0.428161</td>\n","      <td>0.736186</td>\n","      <td>0.687952</td>\n","      <td>...</td>\n","      <td>0.640594</td>\n","      <td>0.687755</td>\n","      <td>0.687351</td>\n","      <td>0.762727</td>\n","      <td>0.395522</td>\n","      <td>0.373829</td>\n","      <td>0.767546</td>\n","      <td>0.478981</td>\n","      <td>0.705326</td>\n","      <td>0.70769</td>\n","    </tr>\n","    <tr>\n","      <th>43797</th>\n","      <td>2023</td>\n","      <td>8758</td>\n","      <td>2023-12-31 21:00:00</td>\n","      <td>0.437149</td>\n","      <td>0.626489</td>\n","      <td>0.301823</td>\n","      <td>0.478662</td>\n","      <td>0.287033</td>\n","      <td>0.588715</td>\n","      <td>0.54395</td>\n","      <td>...</td>\n","      <td>0.505663</td>\n","      <td>0.53085</td>\n","      <td>0.535899</td>\n","      <td>0.625765</td>\n","      <td>0.319774</td>\n","      <td>0.271825</td>\n","      <td>0.630191</td>\n","      <td>0.311161</td>\n","      <td>0.565043</td>\n","      <td>0.567476</td>\n","    </tr>\n","    <tr>\n","      <th>43798</th>\n","      <td>2023</td>\n","      <td>8759</td>\n","      <td>2023-12-31 22:00:00</td>\n","      <td>0.222166</td>\n","      <td>0.419079</td>\n","      <td>0.139857</td>\n","      <td>0.276433</td>\n","      <td>0.107385</td>\n","      <td>0.364805</td>\n","      <td>0.32679</td>\n","      <td>...</td>\n","      <td>0.302033</td>\n","      <td>0.304022</td>\n","      <td>0.315331</td>\n","      <td>0.420701</td>\n","      <td>0.210894</td>\n","      <td>0.143416</td>\n","      <td>0.418215</td>\n","      <td>0.099864</td>\n","      <td>0.358323</td>\n","      <td>0.357441</td>\n","    </tr>\n","    <tr>\n","      <th>43799</th>\n","      <td>2023</td>\n","      <td>8760</td>\n","      <td>2023-12-31 23:00:00</td>\n","      <td>0.075862</td>\n","      <td>0.281206</td>\n","      <td>0.057498</td>\n","      <td>0.120862</td>\n","      <td>0.028853</td>\n","      <td>0.217205</td>\n","      <td>0.184707</td>\n","      <td>...</td>\n","      <td>0.177026</td>\n","      <td>0.152514</td>\n","      <td>0.168825</td>\n","      <td>0.285545</td>\n","      <td>0.037998</td>\n","      <td>0.026626</td>\n","      <td>0.27701</td>\n","      <td>0.04645</td>\n","      <td>0.223029</td>\n","      <td>0.220325</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>43800 rows × 257 columns</p>\n","</div>"],"text/plain":["       report_year  hour_of_year         datetime_utc  anderson__tx  \\\n","0             2019             1  2019-01-01 00:00:00           0.0   \n","1             2019             2  2019-01-01 01:00:00           0.0   \n","2             2019             3  2019-01-01 02:00:00           0.0   \n","3             2019             4  2019-01-01 03:00:00           0.0   \n","4             2019             5  2019-01-01 04:00:00           0.0   \n","...            ...           ...                  ...           ...   \n","43795         2023          8756  2023-12-31 19:00:00      0.478205   \n","43796         2023          8757  2023-12-31 20:00:00      0.475616   \n","43797         2023          8758  2023-12-31 21:00:00      0.437149   \n","43798         2023          8759  2023-12-31 22:00:00      0.222166   \n","43799         2023          8760  2023-12-31 23:00:00      0.075862   \n","\n","       andrews__tx  angelina__tx  aransas__tx  archer__tx  armstrong__tx  \\\n","0              0.0           0.0          0.0         0.0            0.0   \n","1              0.0           0.0          0.0         0.0            0.0   \n","2              0.0           0.0          0.0         0.0            0.0   \n","3              0.0           0.0          0.0         0.0            0.0   \n","4              0.0           0.0          0.0         0.0            0.0   \n","...            ...           ...          ...         ...            ...   \n","43795     0.815655      0.486621     0.608957    0.571901        0.74037   \n","43796     0.760839      0.411626     0.541783    0.428161       0.736186   \n","43797     0.626489      0.301823     0.478662    0.287033       0.588715   \n","43798     0.419079      0.139857     0.276433    0.107385       0.364805   \n","43799     0.281206      0.057498     0.120862    0.028853       0.217205   \n","\n","       atascosa__tx  ...  willacy__tx  williamson__tx  wilson__tx  \\\n","0               0.0  ...          0.0             0.0         0.0   \n","1               0.0  ...          0.0             0.0         0.0   \n","2               0.0  ...          0.0             0.0         0.0   \n","3               0.0  ...          0.0             0.0         0.0   \n","4               0.0  ...          0.0             0.0         0.0   \n","...             ...  ...          ...             ...         ...   \n","43795      0.751983  ...     0.701344        0.772169    0.761171   \n","43796      0.687952  ...     0.640594        0.687755    0.687351   \n","43797       0.54395  ...     0.505663         0.53085    0.535899   \n","43798       0.32679  ...     0.302033        0.304022    0.315331   \n","43799      0.184707  ...     0.177026        0.152514    0.168825   \n","\n","       winkler__tx  wise__tx  wood__tx  yoakum__tx  young__tx  zapata__tx  \\\n","0              0.0       0.0       0.0         0.0        0.0         0.0   \n","1              0.0       0.0       0.0         0.0        0.0         0.0   \n","2              0.0       0.0       0.0         0.0        0.0         0.0   \n","3              0.0       0.0       0.0         0.0        0.0         0.0   \n","4              0.0       0.0       0.0         0.0        0.0         0.0   \n","...            ...       ...       ...         ...        ...         ...   \n","43795     0.818361  0.492159  0.457078    0.822546   0.655998    0.769075   \n","43796     0.762727  0.395522  0.373829    0.767546   0.478981    0.705326   \n","43797     0.625765  0.319774  0.271825    0.630191   0.311161    0.565043   \n","43798     0.420701  0.210894  0.143416    0.418215   0.099864    0.358323   \n","43799     0.285545  0.037998  0.026626     0.27701    0.04645    0.223029   \n","\n","       zavala__tx  \n","0             0.0  \n","1             0.0  \n","2             0.0  \n","3             0.0  \n","4             0.0  \n","...           ...  \n","43795    0.768578  \n","43796     0.70769  \n","43797    0.567476  \n","43798    0.357441  \n","43799    0.220325  \n","\n","[43800 rows x 257 columns]"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["texas_solar_csv = pd.read_csv(\n","    \"capacity_factor_solar_pv.csv\",\n","    parse_dates=[\"datetime_utc\"],\n","    engine=\"pyarrow\",\n","    dtype_backend=\"pyarrow\",\n",")\n","texas_solar_csv"]},{"cell_type":"code","execution_count":20,"id":"68e55b7b","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:48:14.783476Z","iopub.status.busy":"2024-10-21T00:48:14.783002Z","iopub.status.idle":"2024-10-21T00:48:14.91104Z","shell.execute_reply":"2024-10-21T00:48:14.909504Z"},"papermill":{"duration":0.161221,"end_time":"2024-10-21T00:48:14.913761","exception":false,"start_time":"2024-10-21T00:48:14.75254","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 43800 entries, 0 to 43799\n","Columns: 257 entries, report_year to zavala__tx\n","dtypes: double[pyarrow](254), int64[pyarrow](2), timestamp[s][pyarrow](1)\n","memory usage: 85.9 MB\n"]}],"source":["texas_solar_csv.info()"]},{"cell_type":"markdown","id":"32205553","metadata":{"papermill":{"duration":0.028156,"end_time":"2024-10-21T00:48:14.970137","exception":false,"start_time":"2024-10-21T00:48:14.941981","status":"completed"},"tags":[]},"source":["# Statistical Explorations"]},{"cell_type":"markdown","id":"a4fd940a","metadata":{"papermill":{"duration":0.028197,"end_time":"2024-10-21T00:48:15.02645","exception":false,"start_time":"2024-10-21T00:48:14.998253","status":"completed"},"tags":[]},"source":["## A Capacity Factor Histogram"]},{"cell_type":"code","execution_count":21,"id":"fc5eefdb","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:48:15.085988Z","iopub.status.busy":"2024-10-21T00:48:15.085295Z","iopub.status.idle":"2024-10-21T00:48:15.091633Z","shell.execute_reply":"2024-10-21T00:48:15.090166Z"},"papermill":{"duration":0.039155,"end_time":"2024-10-21T00:48:15.094205","exception":false,"start_time":"2024-10-21T00:48:15.05505","status":"completed"},"tags":[]},"outputs":[],"source":["# Select a county by 5-digit county FIPS ID\"\n","hist_county_id_fips = \"08075\" # Logan County, CO. If you want, add your custom 5 digit code here instead\n","hist_gen_type = \"onshore_wind\" # Choose from: solar_pv, onshore_wind, offshore_wind"]},{"cell_type":"code","execution_count":22,"id":"bebd7cce","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:48:15.153777Z","iopub.status.busy":"2024-10-21T00:48:15.152678Z","iopub.status.idle":"2024-10-21T00:48:24.714303Z","shell.execute_reply":"2024-10-21T00:48:24.712659Z"},"papermill":{"duration":9.594958,"end_time":"2024-10-21T00:48:24.717725","exception":false,"start_time":"2024-10-21T00:48:15.122767","status":"completed"},"tags":[]},"outputs":[],"source":["plot_df = usa_rare.loc[usa_rare[\"county_id_fips\"] == hist_county_id_fips]"]},{"cell_type":"code","execution_count":23,"id":"d6f1a394","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:48:24.777031Z","iopub.status.busy":"2024-10-21T00:48:24.776496Z","iopub.status.idle":"2024-10-21T00:48:25.211179Z","shell.execute_reply":"2024-10-21T00:48:25.209666Z"},"papermill":{"duration":0.467691,"end_time":"2024-10-21T00:48:25.214188","exception":false,"start_time":"2024-10-21T00:48:24.746497","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1200x600 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# Make the chart\n","fig, ax = plt.subplots(1, 1, figsize=(12, 6))\n","plt.hist(plot_df[f\"capacity_factor_{hist_gen_type}\"], bins=100, range=(0, 1))\n","county_name = plot_df[plot_df[\"county_id_fips\"]==hist_county_id_fips].county_or_lake_name.unique()[0]\n","state_name = plot_df[plot_df[\"county_id_fips\"]==hist_county_id_fips].state.unique()[0]\n","plt.title(\n","    f\"county: {county_name}; state: {state_name}; gen: {hist_gen_type}; max:{plot_df[f'capacity_factor_{hist_gen_type}'].max():.2f}\"\n",")\n","plt.xlabel(\"Capacity Factor\")\n","plt.ylabel(\"Hours\")\n","plt.grid()\n","plt.show()"]},{"cell_type":"markdown","id":"54f3e98c","metadata":{"papermill":{"duration":0.028553,"end_time":"2024-10-21T00:48:25.271762","exception":false,"start_time":"2024-10-21T00:48:25.243209","status":"completed"},"tags":[]},"source":["## An Interactive Plot with Altair"]},{"cell_type":"code","execution_count":24,"id":"bd19cd57","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:48:25.331172Z","iopub.status.busy":"2024-10-21T00:48:25.330691Z","iopub.status.idle":"2024-10-21T00:48:25.336441Z","shell.execute_reply":"2024-10-21T00:48:25.335167Z"},"papermill":{"duration":0.038534,"end_time":"2024-10-21T00:48:25.338917","exception":false,"start_time":"2024-10-21T00:48:25.300383","status":"completed"},"tags":[]},"outputs":[],"source":["state = \"TX\" # Input your desired state\n","annual_year = 2023 # Input your desired year"]},{"cell_type":"code","execution_count":25,"id":"0d77b9e6","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:48:25.402747Z","iopub.status.busy":"2024-10-21T00:48:25.401688Z","iopub.status.idle":"2024-10-21T00:48:35.981381Z","shell.execute_reply":"2024-10-21T00:48:35.979932Z"},"papermill":{"duration":10.615469,"end_time":"2024-10-21T00:48:35.984417","exception":false,"start_time":"2024-10-21T00:48:25.368948","status":"completed"},"tags":[]},"outputs":[{"name":"stderr","output_type":"stream","text":["/tmp/ipykernel_17/1873238917.py:22: FutureWarning: The previous implementation of stack is deprecated and will be removed in a future version of pandas. See the What's New notes for pandas 2.1.0 for details. Specify future_stack=True to adopt the new implementation and silence this warning.\n","  rare_year_state_subset_final = stats_df.stack(level=0).reset_index()\n"]}],"source":["cap_fac_cols = ['solar_pv', 'onshore_wind', 'offshore_wind']\n","\n","# Remove capacity_factor prefix from columns\n","rare_df_copy = usa_rare.copy()\n","rare_df_copy.columns = [\n","    col.replace('capacity_factor_', '') if col.startswith('capacity_factor_') else col\n","    for col in rare_df_copy.columns\n","]\n","\n","# Filter based on year and state\n","rare_year_state_subset_raw = rare_df_copy[\n","    (rare_df_copy[\"report_year\"] == annual_year) & (rare_df_copy[\"state\"] == state)\n","]\n","\n","# Calculate both mean and variance, then stack and reshape\n","agg_funcs = {col: ['mean', 'var'] for col in cap_fac_cols}\n","stats_df = rare_year_state_subset_raw.groupby(\n","    [\"report_year\", \"state\", \"county_or_lake_name\", \"county_id_fips\"]\n",").agg(agg_funcs)\n","\n","# Stack and reshape to combine mean and variance\n","rare_year_state_subset_final = stats_df.stack(level=0).reset_index()\n","rare_year_state_subset_final.columns = [\"report_year\", \"state\", \"county_or_lake_name\", \"county_id_fips\", \"gen_type\", \"average_capacity_factor\", \"average_variance\"]"]},{"cell_type":"code","execution_count":26,"id":"50b1ec39","metadata":{"execution":{"iopub.execute_input":"2024-10-21T00:48:36.047095Z","iopub.status.busy":"2024-10-21T00:48:36.046596Z","iopub.status.idle":"2024-10-21T00:48:36.815391Z","shell.execute_reply":"2024-10-21T00:48:36.814132Z"},"papermill":{"duration":0.805671,"end_time":"2024-10-21T00:48:36.820863","exception":false,"start_time":"2024-10-21T00:48:36.015192","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["\n","<style>\n","  #altair-viz-f5ad5263d79d4067b694edc911c7475a.vega-embed {\n","    width: 100%;\n","    display: flex;\n","  }\n","\n","  #altair-viz-f5ad5263d79d4067b694edc911c7475a.vega-embed details,\n","  #altair-viz-f5ad5263d79d4067b694edc911c7475a.vega-embed details summary {\n","    position: relative;\n","  }\n","</style>\n","<div id=\"altair-viz-f5ad5263d79d4067b694edc911c7475a\"></div>\n","<script type=\"text/javascript\">\n","  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n","  (function(spec, embedOpt){\n","    let outputDiv = document.currentScript.previousElementSibling;\n","    if (outputDiv.id !== \"altair-viz-f5ad5263d79d4067b694edc911c7475a\") {\n","      outputDiv = document.getElementById(\"altair-viz-f5ad5263d79d4067b694edc911c7475a\");\n","    }\n","    const paths = {\n","      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n","      \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n","      \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.20.1?noext\",\n","      \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n","    };\n","\n","    function maybeLoadScript(lib, version) {\n","      var key = `${lib.replace(\"-\", \"\")}_version`;\n","      return (VEGA_DEBUG[key] == version) ?\n","        Promise.resolve(paths[lib]) :\n","        new Promise(function(resolve, reject) {\n","          var s = document.createElement('script');\n","          document.getElementsByTagName(\"head\")[0].appendChild(s);\n","          s.async = true;\n","          s.onload = () => {\n","            VEGA_DEBUG[key] = version;\n","            return resolve(paths[lib]);\n","          };\n","          s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n","          s.src = paths[lib];\n","        });\n","    }\n","\n","    function showError(err) {\n","      outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n","      throw err;\n","    }\n","\n","    function displayChart(vegaEmbed) {\n","      vegaEmbed(outputDiv, spec, embedOpt)\n","        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. 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\"state\": \"TX\", \"county_or_lake_name\": \"uvalde\", \"county_id_fips\": \"48463\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"uvalde\", \"county_id_fips\": \"48463\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.24690818786621094, \"average_variance\": 0.06575269252061844}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"uvalde\", \"county_id_fips\": \"48463\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.19992919266223907, \"average_variance\": 0.0700516328215599}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"val_verde\", \"county_id_fips\": \"48465\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.35261622071266174, \"average_variance\": 0.1019388884305954}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"val_verde\", \"county_id_fips\": \"48465\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.3763771951198578, \"average_variance\": 0.08525804430246353}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"val_verde\", \"county_id_fips\": \"48465\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.21284283697605133, \"average_variance\": 0.07735934853553772}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"van_zandt\", \"county_id_fips\": \"48467\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.38427919149398804, \"average_variance\": 0.1288723647594452}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"van_zandt\", \"county_id_fips\": \"48467\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.3485702872276306, \"average_variance\": 0.09697230905294418}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"van_zandt\", \"county_id_fips\": \"48467\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.19378094375133514, \"average_variance\": 0.06616226583719254}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"victoria\", \"county_id_fips\": \"48469\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"victoria\", \"county_id_fips\": \"48469\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.3058805763721466, \"average_variance\": 0.07181845605373383}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"victoria\", \"county_id_fips\": \"48469\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.18810437619686127, \"average_variance\": 0.06220747157931328}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"walker\", \"county_id_fips\": \"48471\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"walker\", \"county_id_fips\": \"48471\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.26649636030197144, \"average_variance\": 0.07038693130016327}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"walker\", \"county_id_fips\": \"48471\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.18983957171440125, \"average_variance\": 0.06346233189105988}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"waller\", \"county_id_fips\": \"48473\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"waller\", \"county_id_fips\": \"48473\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.2739142179489136, \"average_variance\": 0.07255902141332626}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"waller\", \"county_id_fips\": \"48473\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.19046737253665924, \"average_variance\": 0.06390970200300217}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"ward\", \"county_id_fips\": \"48475\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"ward\", \"county_id_fips\": \"48475\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.293367475271225, \"average_variance\": 0.08534882217645645}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"ward\", \"county_id_fips\": \"48475\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.22722481191158295, \"average_variance\": 0.08545448631048203}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"washington\", \"county_id_fips\": \"48477\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.315375417470932, \"average_variance\": 0.10742270946502686}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"washington\", \"county_id_fips\": \"48477\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.29694482684135437, \"average_variance\": 0.08231505006551743}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"washington\", \"county_id_fips\": \"48477\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.1911238431930542, \"average_variance\": 0.06463461369276047}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"webb\", \"county_id_fips\": \"48479\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"webb\", \"county_id_fips\": \"48479\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.3487834334373474, \"average_variance\": 0.09024982899427414}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"webb\", \"county_id_fips\": \"48479\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.19986772537231445, \"average_variance\": 0.06934600323438644}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wharton\", \"county_id_fips\": \"48481\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wharton\", \"county_id_fips\": \"48481\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.2986789047718048, \"average_variance\": 0.07737450301647186}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wharton\", \"county_id_fips\": \"48481\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.19148430228233337, \"average_variance\": 0.0639759749174118}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wheeler\", \"county_id_fips\": \"48483\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wheeler\", \"county_id_fips\": \"48483\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.43693941831588745, \"average_variance\": 0.10782042145729065}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wheeler\", \"county_id_fips\": \"48483\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.21791720390319824, \"average_variance\": 0.08141171932220459}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wichita\", \"county_id_fips\": \"48485\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wichita\", \"county_id_fips\": \"48485\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.4208466410636902, \"average_variance\": 0.10891297459602356}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wichita\", \"county_id_fips\": \"48485\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.2094828188419342, \"average_variance\": 0.0757531076669693}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wilbarger\", \"county_id_fips\": \"48487\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wilbarger\", \"county_id_fips\": \"48487\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.4152248501777649, \"average_variance\": 0.10604842007160187}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wilbarger\", \"county_id_fips\": \"48487\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.21148133277893066, \"average_variance\": 0.07702969014644623}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"willacy\", \"county_id_fips\": \"48489\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.49493908882141113, \"average_variance\": 0.1331872045993805}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"willacy\", \"county_id_fips\": \"48489\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.358486145734787, \"average_variance\": 0.08269193023443222}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"willacy\", \"county_id_fips\": \"48489\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.19149911403656006, \"average_variance\": 0.06406944245100021}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"williamson\", \"county_id_fips\": \"48491\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.374482125043869, \"average_variance\": 0.1228339821100235}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"williamson\", \"county_id_fips\": \"48491\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.3524899184703827, \"average_variance\": 0.08902531117200851}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"williamson\", \"county_id_fips\": \"48491\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.19533926248550415, \"average_variance\": 0.06717295199632645}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wilson\", \"county_id_fips\": \"48493\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wilson\", \"county_id_fips\": \"48493\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.30059143900871277, \"average_variance\": 0.08049111068248749}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wilson\", \"county_id_fips\": \"48493\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.19262000918388367, \"average_variance\": 0.06526636332273483}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"winkler\", \"county_id_fips\": \"48495\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"winkler\", \"county_id_fips\": \"48495\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.3401432931423187, \"average_variance\": 0.09605119377374649}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"winkler\", \"county_id_fips\": \"48495\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.2275392860174179, \"average_variance\": 0.08599943667650223}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wise\", \"county_id_fips\": \"48497\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.4139191806316376, \"average_variance\": 0.132722407579422}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wise\", \"county_id_fips\": \"48497\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.39633506536483765, \"average_variance\": 0.10293775051832199}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wise\", \"county_id_fips\": \"48497\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.20303018391132355, \"average_variance\": 0.07164963334798813}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wood\", \"county_id_fips\": \"48499\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.3469805121421814, \"average_variance\": 0.11891135573387146}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wood\", \"county_id_fips\": \"48499\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.30626487731933594, \"average_variance\": 0.08545002341270447}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"wood\", \"county_id_fips\": \"48499\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.1921268105506897, \"average_variance\": 0.06538990885019302}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"yoakum\", \"county_id_fips\": \"48501\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"yoakum\", \"county_id_fips\": \"48501\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.42054030299186707, \"average_variance\": 0.10986905544996262}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"yoakum\", \"county_id_fips\": \"48501\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.22851909697055817, \"average_variance\": 0.08735775947570801}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"young\", \"county_id_fips\": \"48503\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"young\", \"county_id_fips\": \"48503\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.4213985204696655, \"average_variance\": 0.10853347927331924}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"young\", \"county_id_fips\": \"48503\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.2093782126903534, \"average_variance\": 0.07550396770238876}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"zapata\", \"county_id_fips\": \"48505\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.35149866342544556, \"average_variance\": 0.1160188540816307}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"zapata\", \"county_id_fips\": \"48505\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.35176411271095276, \"average_variance\": 0.09352988004684448}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"zapata\", \"county_id_fips\": \"48505\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.19999757409095764, \"average_variance\": 0.06958728283643723}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"zavala\", \"county_id_fips\": \"48507\", \"gen_type\": \"offshore_wind\", \"average_capacity_factor\": 0.0, \"average_variance\": 0.0}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"zavala\", \"county_id_fips\": \"48507\", \"gen_type\": \"onshore_wind\", \"average_capacity_factor\": 0.27240341901779175, \"average_variance\": 0.0781935378909111}, {\"report_year\": 2023, \"state\": \"TX\", \"county_or_lake_name\": \"zavala\", \"county_id_fips\": \"48507\", \"gen_type\": \"solar_pv\", \"average_capacity_factor\": 0.19995106756687164, \"average_variance\": 0.0696745365858078}]}}, {\"mode\": \"vega-lite\"});\n","</script>"],"text/plain":["alt.VConcatChart(...)"]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["import altair as alt\n","# Define the data source for the chart\n","source = rare_year_state_subset_final\n","\n","# Set the color scheme for the chart\n","color = alt.Color('gen_type:N').scale(\n","    domain=['solar_pv', 'onshore_wind', 'offshore_wind'],\n","    range=['#e7ba52', '#69b373', '#aec7e8']\n",")\n","\n","# We create two selections:\n","# - a brush that is active on the top panel\n","# - a multi-click that is active on the bottom panel\n","brush = alt.selection_interval(encodings=['x'])\n","click = alt.selection_point(encodings=['color'])\n","\n","# Top panel is scatter plot of temperature vs time\n","points = alt.Chart().mark_point().encode(\n","    alt.X('average_variance:Q', title='Annual Variance'),\n","    alt.Y('average_capacity_factor:Q', title='Annual Average Capacity Factor')\n","        .scale(domain=[0, 1]),\n","    color=alt.condition(brush, color, alt.value('lightgray')),\n","    tooltip=[\n","        alt.Tooltip('county_or_lake_name:N', title='County Name'),\n","        alt.Tooltip('county_id_fips:N', title='FIPS ID'),\n","        alt.Tooltip('average_capacity_factor:Q', title='Average Annual Capacity Factor', format='.2f'),  # Rounded to 2 decimals\n","        alt.Tooltip('average_variance:Q', title='Average Annual Variance', format='.2f'),  # Rounded to 2 decimals\n","    ]\n",").properties(\n","    width=1000,\n","    height=550\n",").add_params(\n","    brush\n",").transform_filter(\n","    click\n",")\n","\n","# Bottom panel is a bar chart of average capacity factor per generation type\n","bars = alt.Chart().mark_bar().encode(\n","    x=alt.X('average(average_capacity_factor):Q', title='Average Capacity Factor (Excluding Outliers)'),\n","    y=alt.Y('gen_type:N', title='Generation Type'),\n","    color=alt.condition(click, color, alt.value('lightgray')),\n","    tooltip=[\n","        alt.Tooltip('gen_type:N', title='Generation Type'),\n","        alt.Tooltip('average(average_capacity_factor):Q', title='Average Capacity Factor', format='.2f')\n","    ]\n",").transform_filter(\n","    (alt.datum.average_capacity_factor > 0) & brush\n",").properties(\n","    width=1000,\n",").add_params(\n","    click\n",")\n","\n","alt.vconcat(\n","    points,\n","    bars,\n","    data=source,\n","    title=f\"Average Capacity Factor vs. Variance for Counties in {state} in {annual_year}\"\n",").configure_title(\n","    fontSize=24,\n","    anchor=\"middle\",\n","    dy=-10,\n",").configure_axis(\n","    titleFontSize=16,  # Adjust the axis title font size\n","    titleFontWeight='bold',  # Set axis title to bold\n","    titleColor='black',  # Set axis title color\n","    labelFontSize=12,  # Adjust the axis label font size\n","    labelColor='gray',\n","    titlePadding=10,\n",")"]}],"metadata":{"kaggle":{"accelerator":"none","dataSources":[{"datasetId":3838551,"sourceId":9668298,"sourceType":"datasetVersion"}],"dockerImageVersionId":30786,"isGpuEnabled":false,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 3","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":"3.10.14"},"papermill":{"default_parameters":{},"duration":231.392744,"end_time":"2024-10-21T00:48:38.582468","environment_variables":{},"exception":null,"input_path":"__notebook__.ipynb","output_path":"__notebook__.ipynb","parameters":{},"start_time":"2024-10-21T00:44:47.189724","version":"2.6.0"}},"nbformat":4,"nbformat_minor":5}