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"""Provides optional transform functions for different data sources.""" | |
import pandas as pd | |
def nyt_cases_counties(df): | |
"""Transforms NYT county-level COVID data""" | |
# Cast date as datetime | |
df['date'] = pd.to_datetime(df['date']) | |
# Store FIPS codes as standard 5 digit strings | |
df['fips'] = df['fips'].astype(str).str.extract('(.*)\.', expand=False).str.zfill(5) | |
# Drop Puerto Rico due to missing deaths data, cast deaths to int | |
df = df.loc[df['state'] != 'Puerto Rico'].copy() | |
df['deaths'] = df['deaths'].astype(int) | |
return df | |
# Script truncated for Medium |
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