pandas nan values in column
df['your column name'].isnull()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 9Copyright © 2021 Codeinu
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