Pandas Replace NaN with blank/empty string

Question

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

Answer 1

It will replace all NaNs with an empty string.

import numpy as np

df1 = df.replace(np.nan, '', regex=True)

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