Answers for "replace nan values in a new column based on condition"

replace nan in pandas

df['DataFrame Column'] = df['DataFrame Column'].fillna(0)

Posted by: Guest on May-29-2020

pandas replace nan with value above

>>> df = pd.DataFrame([[1, 2, 3], [4, None, None], [None, None, 9]])
>>> df.fillna(method='ffill')
   0  1  2
0  1  2  3
1  4  2  3
2  4  2  9

Posted by: Guest on May-20-2021

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