count na pandas

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Yael
17 Oct 2017
1#Python, pandas
2#Count missing values for each column of the dataframe df
3
4df.isnull().sum()
5
source
Camila
27 Jun 2016
1In [1]: s = pd.Series([1,2,3, np.nan, np.nan])
2
3In [4]: s.isna().sum()   # or s.isnull().sum() for older pandas versions
4Out[4]: 2
source
Jacopo
22 Aug 2020
1>>> df = pd.DataFrame({"Person":
2...                    ["John", "Myla", "Lewis", "John", "Myla"],
3...                    "Age": [24., np.nan, 21., 33, 26],
4...                    "Single": [False, True, True, True, False]})
5>>> df
6   Person   Age  Single
70    John  24.0   False
81    Myla   NaN    True
92   Lewis  21.0    True
103    John  33.0    True
114    Myla  26.0   False
12
13df.count()
14Person    5
15Age       4
16Single    5
17dtype: int64
source
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