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Use f-strings for nicer formatting #62

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Oct 14, 2020
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Use f-strings for nicer formatting #62

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28 changes: 14 additions & 14 deletions ECHO-Sunrise.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -155,7 +155,7 @@
"geo_json_data = cd_data[(cd_data[\"District\"] == select_region_widget.value)] #where ids match\n",
"\n",
"# Get the EPA data from the Stonybrook University database\n",
"echo_data_sql = 'select * from \"ECHO_EXPORTER\" where \"FAC_STATE\" = \\'MA\\' and \"FAC_ACTIVE_FLAG\"=\\'Y\\' '\n",
"echo_data_sql = \"\"\"select * from \"ECHO_EXPORTER\" where \"FAC_STATE\" = 'MA' and \"FAC_ACTIVE_FLAG\"='Y' \"\"\"\n",
"echo_data = get_data( echo_data_sql, 'REGISTRY_ID' )\n",
" \n",
"if ( not echo_data.empty ):\n",
Expand All @@ -166,12 +166,12 @@
" this_district_data = echo_data.loc[(echo_data[\"FAC_DERIVED_CD113\"]==float(select_region_widget.value.strip(\"Congressional District\")))]\n",
"\n",
" # Summarize \n",
" display(HTML(\"<h3>There are %s facilities in Massachussets currently tracked in the ECHO database.\" %(num_facilities)))\n",
" display(HTML(\"<h3>There are \"+ str(this_district_data.shape[0]) + \" facilities in this district.\"))\n",
" display(HTML(\"<h3>There are \"+ str(this_district_data.loc[this_district_data[\"RCRA_FLAG\"] == \"Y\"].shape[0]) + \" facilities regulated under RCRA (hazardous waste) in this district.</h3>\"))\n",
" display(HTML(\"<h3>There are \"+ str(this_district_data.loc[this_district_data[\"NPDES_FLAG\"] == \"Y\"].shape[0]) + \" facilities regulated under the Clean Water Act in this district.</h3>\"))\n",
" display(HTML(\"<h3>There are \"+ str(this_district_data.loc[this_district_data[\"AIR_FLAG\"] == \"Y\"].shape[0]) + \" facilities regulated under the Clean Air Act in this district.</h3>\"))\n",
" display(HTML(\"<h3>There are \"+ str(this_district_data.loc[this_district_data[\"GHG_FLAG\"] == \"Y\"].shape[0]) + \" facilities reporting greenhouse gas emissions in this district.</h3>\"))\n"
" display(HTML(f\"<h3>There are {num_facilities:,} facilities in Massachussets currently tracked in the ECHO database.\"))\n",
" display(HTML(f\"<h3>There are {this_district_data.shape[0]:,} facilities in this district.\"))\n",
" display(HTML(f\"<h3>There are {this_district_data.loc[this_district_data['RCRA_FLAG'] == 'Y'].shape[0]:,} facilities regulated under RCRA (hazardous waste) in this district.</h3>\"))\n",
" display(HTML(f\"<h3>There are {this_district_data.loc[this_district_data['NPDES_FLAG'] == 'Y'].shape[0]:,} facilities regulated under the Clean Water Act in this district.</h3>\"))\n",
" display(HTML(f\"<h3>There are {this_district_data.loc[this_district_data['AIR_FLAG'] == 'Y'].shape[0]:,} facilities regulated under the Clean Air Act in this district.</h3>\"))\n",
" display(HTML(f\"<h3>There are {this_district_data.loc[this_district_data['GHG_FLAG'] == 'Y'].shape[0]:,} facilities reporting greenhouse gas emissions in this district.</h3>\"))\n"
]
},
{
Expand Down Expand Up @@ -274,14 +274,14 @@
"plt.figure(figsize=(20,10))\n",
"if ( bars is not None ):\n",
" plt.bar(bars.index, bars[program.agg_col])\n",
" plt.bar(bars.index, bars[program.agg_col + \" in this District\"])\n",
" plt.bar(bars.index, bars[f\"{program.agg_col} in this District\"])\n",
" plt.title(program.name)\n",
" plt.xlabel( 'Year' )\n",
" plt.ylabel( program.unit )\n",
" plt.legend([\"Rest of the state\", \"In %s\" %(select_region_widget.value)])\n",
" plt.legend([\"Rest of the state\", f\"In {select_region_widget.value}\"])\n",
" plt.show() \n",
"\n",
" bars.to_csv(\"trends-\"+program.name+\"-MA-\"+select_region_widget.value+\".csv\")"
" bars.to_csv(f\"trends-{program.name}-MA-{select_region_widget.value}.csv\")"
]
},
{
Expand All @@ -300,21 +300,21 @@
"source": [
"\n",
"if (district_program_data is not None and district_program_data.shape[0] > 0):\n",
" district_program_data.to_csv(\"district_program_data-\"+program.name+\"-\"+select_region_widget.value+\".csv\")\n",
" district_program_data.to_csv(f\"district_program_data-{program.name}-{select_region_widget.value}.csv\")\n",
" ranked = district_program_data.set_index(\"Index\")\n",
" q_num = 5 if ( len( ranked ) >= 5 ) else int( len( ranked ) / 2 )\n",
" ranked['quantile'] = pd.qcut(ranked[program.agg_col], 5, labels=False, duplicates=\"drop\")\n",
" ranked = ranked.sort_values(by=program.agg_col, ascending=False)\n",
" ranked.to_csv(\"facilities_ranked-\"+program.name+\".csv\")\n",
" print( \"{} facilities have been ranked.\".format( len( ranked )))\n",
" ranked.to_csv(f\"facilities_ranked-{program.name}.csv\")\n",
" print(f\"{len(ranked)} facilities have been ranked.\")\n",
"\n",
" time = '2018' if (program.name == \"Greenhouse Gas Emissions\") else '2020'\n",
" sns.set(style='whitegrid')\n",
" fig, ax = plt.subplots(figsize=(20,10))\n",
" unit = ranked[0:19].index # First 20 rows \n",
" values = ranked[0:19][program.agg_col] # First 20 rows\n",
" g = sns.barplot(values, unit, order=list(unit), orient=\"h\") \n",
" g.set_title('20 facilities with the most %s in %s from 2010-%s' %(program.name, select_region_widget.value, time))\n",
" g.set_title(f'20 facilities with the most {program.name} in {select_region_widget.value} from 2010-{time}')\n",
" ax.set_xlabel(program.unit)\n",
" ax.set_ylabel(\"Facility\")\n",
" ax.set_yticklabels(ranked[0:19][\"FAC_NAME\"])\n",
Expand Down