to detect if a data frame has nan values
df.isnull().sum().sum()
5to detect if a data frame has nan values
df.isnull().sum().sum()
5to detect if a data frame has nan values
> df.isnull().any().any()
Truepandas df where row has na
df[df.isna().any(axis=1)]count na pandas
>>> df = pd.DataFrame({"Person":
... ["John", "Myla", "Lewis", "John", "Myla"],
... "Age": [24., np.nan, 21., 33, 26],
... "Single": [False, True, True, True, False]})
>>> df
Person Age Single
0 John 24.0 False
1 Myla NaN True
2 Lewis 21.0 True
3 John 33.0 True
4 Myla 26.0 False
df.count()
Person 5
Age 4
Single 5
dtype: int64Copyright © 2021 Codeinu
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