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import pandas as pd | |
# Read in endorsements | |
pp = pd.read_csv("pp_endorsements.csv") | |
rff = pd.read_csv("rff_endorsements.csv") | |
now = pd.read_csv("now_endorsements.csv") | |
# Merge by name | |
df = pd.merge(pp[["Candidate", "Endorsed by"]], rff[["Candidate", "Endorsed by"]], on = "Candidate", how = "outer") | |
df = pd.merge(df, now[["Candidate", "Endorsed by"]], on = "Candidate", how = "outer") | |
# Fill NaN values with an empty string for concatenation | |
df.fillna('', inplace = True) | |
# Concatenate the endorsements into a single string | |
df['Endorsed by'] = df['Endorsed by_x'] + ', ' + df['Endorsed by_y'] + ', ' + df['Endorsed by'] | |
df['Endorsed by'] = df['Endorsed by'].str.strip(', ') | |
df.drop(columns=["Endorsed by_x", "Endorsed by_y"], inplace = True) | |
# Write to CSV | |
df.to_csv("reproductive_endorsements.csv", index = False) |