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b/clinicalmapfixed.py |
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from pyzipcode import ZipCodeDatabase |
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import folium |
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import pandas as pd |
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clin_addresses = pd.read_excel("/Users/shania/PycharmProjects/ClinicalAttritionRateMap/project_testCleanedUSZip.xlsx") |
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zcdb = ZipCodeDatabase() |
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center_map = folium.Map(location=[39.8283, -98.5795], zoom_start=4) |
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for index in clin_addresses.index: |
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zip_code = str(clin_addresses.loc[index, 'zip']) |
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# Remove the extended part from the ZIP code if it exists |
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if '-' in zip_code: |
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zip_code = zip_code.split('-')[0] |
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location_name = clin_addresses.loc[index, 'location_name'] |
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nct_id = clin_addresses.loc[index, 'nct_id'] |
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dropout_rate = clin_addresses.loc[index, 'dropout_percentage_all'] |
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phase = clin_addresses.loc[index, 'phase'] |
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study_type = clin_addresses.loc[index, 'study_type'] |
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try: |
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location = zcdb[zip_code] |
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lon, lat = location.longitude, location.latitude |
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coordinates = [lat, lon] |
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folium.Marker( |
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location=coordinates, |
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popup=f"{location_name}\nNCT ID: {nct_id}\nDropout Rate: {dropout_rate}\nPhase: {phase}\nStudy Type: {study_type}" |
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).add_to(center_map) |
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except KeyError: |
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print(f"Couldn't find location for ZIP code: {zip_code}") |
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# Save the map to an HTML file |
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center_map.save('map-clinical_trials.html') |