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pandas columns to int64 with nan

# single column
df['column_name'].apply(pd.to_numeric).astype('Int64')

# range of cols
df.loc[:, 'col_n':'col_m'] = df.loc[:, 'col_n':'col_m'].apply(pd.to_numeric).astype('Int64')

'''
From Pandas v0.24, introduces Nullable Integer Data Types 
which allows integers to coexist with NaNs.
'''
Comment

pandas nan to None

df = df.astype("object").where(pd.notnull(df), None)
Comment

pandas nan to none

df1 = df.where(pd.notnull(df), None)
Comment

Convert nan into None in df

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