Replacing blank rows in a column with the value of another column

Question

I have a dataframe with a date column but some values are blank or NaN, I am trying to replace all these values with a date from another column. I am trying the solution below but its not working, can someone please help

df['Date'] = df['Date'].replace(np.nan, df['Date2'])

Answer 1

some values are blank or NaN

You can first replace empty strings with NaN with replace then use fillna .

Try this:

df['Date'] = df['Date'].replace("", np.NaN).fillna(df['Date2'])