Use None Instead Of Np.nan For Null Values In Pandas Dataframe

I have a pandas DataFrame with mixed data types. I would like to replace all null values with None (instead of default np.nan). For some reason, this appears to be nearly impossi

Solution 1:

Use pd.DataFrame.where Uses df value when condition is met, otherwise uses None

df.where(df.notnull(), None)