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https://github.com/DOI-DO/j40-cejst-2.git
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pynb
This commit is contained in:
lucasmbrown-usds
parent
f0804646df
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "bb24db55",
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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"import geopandas as gpd\n",
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"import pyogrio\n",
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"from data_pipeline.etl.sources.census.etl import CensusETL\n",
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"from data_pipeline.etl.sources.geocorr_alternatives.etl import GeoCorrAlternativesETL\n",
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"\n",
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"import geopandas as gpd\n",
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"import pandas as pd\n",
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"from data_pipeline.etl.base import ExtractTransformLoad, ValidGeoLevel\n",
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"from data_pipeline.etl.sources.geo_utils import (\n",
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" add_tracts_for_geometries,\n",
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" get_tract_geojson,\n",
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")\n",
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"from data_pipeline.score import field_names\n",
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"from data_pipeline.utils import get_module_logger, unzip_file_from_url\n",
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"\n",
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"logger = get_module_logger(__name__)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"id": "41bd360f",
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"# ZCTA_2020_SHAPEFILE_PATH = (\n",
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"# \"https://www2.census.gov/geo/tiger/GENZ2020/shp/cb_2020_us_zcta520_500k.zip\"\n",
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"# )\n",
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"\n",
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"# ZCTA_2010_SHAPEFILE_PATH = (\n",
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"# \"https://www2.census.gov/geo/tiger/GENZ2019/shp/cb_2019_us_zcta510_500k.zip\"\n",
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"# )\n",
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"\n",
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"ZCTA_2020_SHAPEFILE_PATH = (\n",
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" \"~/Downloads/cb_2020_us_zcta520_500k\"\n",
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")\n",
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"\n",
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"ZCTA_2010_SHAPEFILE_PATH = (\n",
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" \"~/Downloads/cb_2019_us_zcta510_500k\"\n",
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")\n",
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"\n",
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"ZCTA_2010_FIELD = \"ZCTA5CE10\"\n",
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"\n",
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"PERCENT_OF_2020_in_2010_FIELD = \"percent of 2020 in 2010\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "37ca370a",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Read in ZCTA data.\n",
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"zcta_2020_gdf = gpd.read_file(\n",
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" filename=ZCTA_2020_SHAPEFILE_PATH\n",
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")\n",
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"zcta_2020_gdf = zcta_2020_gdf.rename(\n",
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" columns={GeoCorrAlternativesETL.ZIP_CODE_INPUT_FIELD: field_names.ZIP_CODE},\n",
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" errors=\"raise\",\n",
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")\n",
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"\n",
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"\n",
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"# Read in ZCTA data.\n",
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"zcta_2010_gdf = gpd.read_file(\n",
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" filename=ZCTA_2010_SHAPEFILE_PATH\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"id": "6178cd2f",
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"metadata": {},
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"outputs": [],
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"source": [
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"#switch to projected \n",
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"zcta_2020_gdf=zcta_2020_gdf.to_crs(crs=GeoCorrAlternativesETL.CRS_INTEGER)\n",
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"zcta_2010_gdf=zcta_2010_gdf.to_crs(crs=GeoCorrAlternativesETL.CRS_INTEGER)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"id": "ff3532eb",
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"metadata": {},
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"outputs": [],
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"source": [
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"zcta_2020_gdf[\"zcta_2020_area\"] = zcta_2020_gdf.area"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"id": "7d95b1ef",
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"metadata": {},
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"outputs": [],
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"source": [
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"joined_gdf = gpd.overlay(\n",
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" df1=zcta_2020_gdf,\n",
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" df2=zcta_2010_gdf,\n",
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" how=\"intersection\",\n",
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" keep_geom_type=False,\n",
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" )\n",
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"\n",
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"# Calculating the areas of the newly-created overlapping geometries\n",
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"joined_gdf[GeoCorrAlternativesETL.AREA_JOINED_FIELD] = joined_gdf.area\n",
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"\n",
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"# Calculating the areas of the newly-created geometries in relation\n",
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"# to the original tract geometries\n",
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"joined_gdf[PERCENT_OF_2020_in_2010_FIELD] = (\n",
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" joined_gdf[GeoCorrAlternativesETL.AREA_JOINED_FIELD] / joined_gdf[\"zcta_2020_area\"]\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"id": "b206ad11",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"0.6 988\n",
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"0.4 894\n",
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"0.5 800\n",
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"Name: percent of 2020 in 2010, dtype: int64"
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]
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},
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"execution_count": 21,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
|
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"joined_gdf[PERCENT_OF_2020_in_2010_FIELD].round(decimals=1).value_counts()"
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]
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},
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{
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" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
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||||
" <th>Zip code</th>\n",
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" <th>AFFGEOID20</th>\n",
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" <th>GEOID20</th>\n",
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|
||||
" <td>8600000US99658</td>\n",
|
||||
" <td>99658</td>\n",
|
||||
" <td>110490326</td>\n",
|
||||
" <td>913652</td>\n",
|
||||
" <td>POLYGON ((-18196204.928 8884024.527, -18158121...</td>\n",
|
||||
" <td>5.010581e+08</td>\n",
|
||||
" <td>0.990327</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"<p>210696 rows × 16 columns</p>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" Zip code AFFGEOID20 GEOID20 NAME20 LSAD20 ALAND20 AWATER20 \\\n",
|
||||
"0 35768 860Z200US35768 35768 35768 Z5 446231990 3736014 \n",
|
||||
"1 35769 860Z200US35769 35769 35769 Z5 163279214 57835709 \n",
|
||||
"2 35776 860Z200US35776 35776 35776 Z5 268376689 1277083 \n",
|
||||
"3 35774 860Z200US35774 35774 35774 Z5 36139337 362969 \n",
|
||||
"4 35747 860Z200US35747 35747 35747 Z5 195112094 9300885 \n",
|
||||
"... ... ... ... ... ... ... ... \n",
|
||||
"210691 72046 860Z200US72046 72046 72046 Z5 603015221 20383513 \n",
|
||||
"210692 13156 860Z200US13156 13156 13156 Z5 76214823 6028269 \n",
|
||||
"210693 06850 860Z200US06850 06850 06850 Z5 17563836 206664 \n",
|
||||
"210694 99632 860Z200US99632 99632 99632 Z5 65153947 0 \n",
|
||||
"210695 99658 860Z200US99658 99658 99658 Z5 111057651 318145 \n",
|
||||
"\n",
|
||||
" zcta_2020_area ZCTA5CE10 AFFGEOID10 GEOID10 ALAND10 AWATER10 \\\n",
|
||||
"0 6.688056e+08 35776 8600000US35776 35776 234072461 1041223 \n",
|
||||
"1 3.270629e+08 35776 8600000US35776 35776 234072461 1041223 \n",
|
||||
"2 3.994217e+08 35776 8600000US35776 35776 234072461 1041223 \n",
|
||||
"3 5.424829e+07 35776 8600000US35776 35776 234072461 1041223 \n",
|
||||
"4 3.016341e+08 35776 8600000US35776 35776 234072461 1041223 \n",
|
||||
"... ... ... ... ... ... ... \n",
|
||||
"210691 9.214782e+08 72037 8600000US72037 72037 388714 0 \n",
|
||||
"210692 1.521320e+08 13064 8600000US13064 13064 461830 2948339 \n",
|
||||
"210693 3.140506e+07 06856 8600000US06856 06856 9568 0 \n",
|
||||
"210694 2.965687e+08 99632 8600000US99632 99632 65153947 0 \n",
|
||||
"210695 5.059522e+08 99658 8600000US99658 99658 110490326 913652 \n",
|
||||
"\n",
|
||||
" geometry area_joined \\\n",
|
||||
"0 GEOMETRYCOLLECTION (POLYGON ((-9597648.456 411... 2.193417e+06 \n",
|
||||
"1 GEOMETRYCOLLECTION (POLYGON ((-9596251.174 410... 4.423302e+03 \n",
|
||||
"2 GEOMETRYCOLLECTION (POLYGON ((-9609657.158 411... 3.377086e+08 \n",
|
||||
"3 GEOMETRYCOLLECTION (POLYGON ((-9592577.408 413... 3.181710e+06 \n",
|
||||
"4 GEOMETRYCOLLECTION (POLYGON ((-9608245.738 410... 5.117346e+06 \n",
|
||||
"... ... ... \n",
|
||||
"210691 MULTIPOLYGON (((-10226266.281 4102252.880, -10... 5.753217e+05 \n",
|
||||
"210692 MULTIPOLYGON (((-8538756.977 5360283.214, -853... 6.455585e+06 \n",
|
||||
"210693 POLYGON ((-8173142.581 5028860.482, -8173156.2... 1.245927e+04 \n",
|
||||
"210694 POLYGON ((-18231773.509 8888791.228, -18230845... 2.959838e+08 \n",
|
||||
"210695 POLYGON ((-18196204.928 8884024.527, -18158121... 5.010581e+08 \n",
|
||||
"\n",
|
||||
" percent of 2020 in 2010 \n",
|
||||
"0 0.003280 \n",
|
||||
"1 0.000014 \n",
|
||||
"2 0.845494 \n",
|
||||
"3 0.058651 \n",
|
||||
"4 0.016965 \n",
|
||||
"... ... \n",
|
||||
"210691 0.000624 \n",
|
||||
"210692 0.042434 \n",
|
||||
"210693 0.000397 \n",
|
||||
"210694 0.998028 \n",
|
||||
"210695 0.990327 \n",
|
||||
"\n",
|
||||
"[210696 rows x 16 columns]"
|
||||
]
|
||||
},
|
||||
"execution_count": 17,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"joined_gdf"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
"kernelspec": {
|
||||
"display_name": "Python 3 (ipykernel)",
|
||||
"language": "python",
|
||||
"name": "python3"
|
||||
},
|
||||
"language_info": {
|
||||
"codemirror_mode": {
|
||||
"name": "ipython",
|
||||
"version": 3
|
||||
},
|
||||
"file_extension": ".py",
|
||||
"mimetype": "text/x-python",
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.9.6"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
"nbformat_minor": 5
|
||||
}
|
||||
Loading…
Add table
Reference in a new issue