Pandas – Blanking out values of one column if value of another column has a specific value

Question

I have the following DataFrame:

import pandas as pd

df = pd.DataFrame({'Status': ['','To Do', '','Completed', 'To Do', 'In Progress', 'Completed'], 
'Date': ['','9/1/2022','','12/5/2019','8/12/2020','4/19/2020','12/31/2018']})

I want to blank out the Date column for those rows where the Status is anything but "Completed". Using .loc, I am getting an error.

df = df.loc[df['Status'] != 'Completed', 'Date'] = ''

AttributeError: 'str' object has no attribute 'loc'

Asked By: Michael Kessler

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Source

Answer 1

There is a typo here:

df = df.loc[df['Status'] != 'Completed', 'Date'] = ''

Should be

df.loc[df['Status'] != 'Completed', 'Date'] = ''

Answered By: Juliano Negri

Pandas – Blanking out values of one column if value of another column has a specific value

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