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

This might help. It will replace all NaNs with an empty string.

From: stackoverflow.com/q/26837998

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