How to replace a null value from a pandas dataframe with a non-null value from the same column in the dataframe?
Question
For example:
I need to replace the NaN values for rows under HomePlanet column with the most frequent entries in the other rows (in this case it would be Earth). How can I go about executing this?
1 answers
solution1
0 2022-08-12 20:24:38
Is this what you are looking for (assuming your dataframe is named 'df')?
df["HomePlanet"].fillna("Earth", inplace = True)
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