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Pandas Replace NaN with blank/empty string

I have a Pandas Dataframe as shown below:

    1    2       3  0  a  NaN    read  1  b    l  unread  2  c  NaN    read 

I want to remove the NaN values with an empty string so that it looks like so:

    1    2       3  0  a   ""    read  1  b    l  unread  2  c   ""    read 
like image 273
user1452759 Avatar asked Nov 10 '14 06:11

user1452759


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1 Answers

df = df.fillna('') 

or just

df.fillna('', inplace=True) 

This will fill na's (e.g. NaN's) with ''.

If you want to fill a single column, you can use:

df.column1 = df.column1.fillna('') 

One can use df['column1'] instead of df.column1.

like image 133
fantabolous Avatar answered Sep 19 '22 23:09

fantabolous