Reputation: 343
Two dataframes:
df1:
Name
Sarah
John
J
Fritz
Sarah
John
df2:
F_Name gender count
Sarah F 1000
John M 3500
Fritz M 12540
Aim: if df1.name is in df2.F_Name then add column gender to df1. The expected answer is:
df1:
Name gender
Sarah F
John M
J
Fritz M
Sarah F
John M
below code gives error: "Unalignable boolean Series provided as indexer"
df1['gender'] = df2[df1['Name'].isin(df2['Name'])]['gender'].values
Upvotes: 0
Views: 475
Reputation: 323226
Try with merge
df = df1.merge(df2.rename(columns = {'F_Name':'Name'}), on ='Name',how='left')
Upvotes: 1