dataframe find nan rows
df[df.isnull().any(axis=1)]dataframe find nan rows
df[df.isnull().any(axis=1)]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]: 2count 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: int64check if a value is nan pandas
import numpy as np
import pandas as pd
val = np.nan
print(pd.isnull(val))
# TrueCopyright © 2021 Codeinu
Forgot your account's password or having trouble logging into your Account? Don't worry, we'll help you to get back your account. Enter your email address and we'll send you a recovery link to reset your password. If you are experiencing problems resetting your password contact us
