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Adding persistent poverty tracts (#738)

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* persistent poverty working

* fixing left-padding

* running black and adding persistent poverty to comp tool

* fixing bug

* running black and fixing linter

* fixing linter

* fixing linter error
This commit is contained in:
Lucas Merrill Brown 2021-09-22 16:57:08 -05:00 • committed by GitHub
commit b1a4d26be8
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15 changed files with 518 additions and 201 deletions
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20
data/data-pipeline/data_pipeline/ipython/census_explore.ipynb
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@ -39,7 +39,9 @@
"source": [
"# Following the tutorial at https://jtleider.github.io/censusdata/example1.html.\n",
"# Full list of fields is at https://www2.census.gov/programs-surveys/acs/summary_file/2019/documentation/user_tools/ACS2019_Table_Shells.xlsx\n",
"censusdata.printtable(censusdata.censustable(src=\"acs5\", year=ACS_YEAR, table=\"B19013\"))"
"censusdata.printtable(\n",
" censusdata.censustable(src=\"acs5\", year=ACS_YEAR, table=\"B19013\")\n",
")"
],
"outputs": [],
"metadata": {
@ -65,8 +67,8 @@
" year=ACS_YEAR,\n",
" geo=censusdata.censusgeo(\n",
" [\n",
" (\"state\", fips) \n",
" #, (\"county\", \"*\"), (\"block group\", \"*\")\n",
" (\"state\", fips)\n",
" # , (\"county\", \"*\"), (\"block group\", \"*\")\n",
" ]\n",
" ),\n",
" var=[\"B23025_005E\", \"B23025_003E\", \"B19013_001E\"],\n",
@ -75,7 +77,9 @@
"\n",
"df = pd.concat(dfs)\n",
"\n",
"df[GEOID_FIELD_NAME] = df.index.to_series().apply(func=fips_from_censusdata_censusgeo)\n",
"df[GEOID_FIELD_NAME] = df.index.to_series().apply(\n",
" func=fips_from_censusdata_censusgeo\n",
")\n",
"\n",
"df.head()"
],
@ -90,7 +94,13 @@
"source": [
"columns_to_include = [\"GEOID2\", \"Median household income (State)\"]\n",
"\n",
"df.rename(columns={\"GEOID10\": \"GEOID2\", \"B19013_001E\": \"Median household income (State)\"}, inplace=True)\n",
"df.rename(\n",
" columns={\n",
" \"GEOID10\": \"GEOID2\",\n",
" \"B19013_001E\": \"Median household income (State)\",\n",
" },\n",
" inplace=True,\n",
")\n",
"\n",
"# df[columns_to_include].to_csv(path_or_buf= \"/Users/lucas/Documents/usds/repos/justice40-tool/data/data-pipeline/data_pipeline/data/needs_to_be_moved_to_s3/2014_to_2019_state_median_income.csv\", index=False)"
],