How can I fill in missing values (NaN) at a particular column in a data frame?

Question

I have a Dataframe of which one column contains several missing values, which are printed as NaN. I want to replace the missing values with the number 0. How can I do that with the fillna() function?

`df ['my_column']= df['my_column'].fillna(0)`? – ansev Oct 06 '20 at 16:28 — ansev, Oct 06 '20 at 16:28

score 0 · Answer 1 · answered Oct 06 '20 at 16:29

0

does using data.fillna(0) work for you?

answered Oct 06 '20 at 16:29

Yousef Kaddoura

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How can I fill in missing values (NaN) at a particular column in a data frame?

1 Answers1