Answers for "pandas count nan values in column"

10

dataframe find nan rows

df[df.isnull().any(axis=1)]
Posted by: Guest on January-31-2021
2

find the number of nan per column pandas

In [1]: s = pd.Series([1,2,3, np.nan, np.nan])

In [4]: s.isna().sum()   # or s.isnull().sum() for older pandas versions
Out[4]: 2
Posted by: Guest on August-03-2020
2

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: int64
Posted by: Guest on December-06-2020
0

check if a value is nan pandas

import numpy as np
import pandas as pd

val = np.nan

print(pd.isnull(val))
# True
Posted by: Guest on June-03-2021

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