how to find rows with missing data in pandas
null_data = df[df.isnull().any(axis=1)]how to find rows with missing data in pandas
null_data = df[df.isnull().any(axis=1)]python find cells with na
In [152]: import numpy as np
In [153]: import pandas as pd
# to return the row and column indices where the value in NaN
In [154]: np.where(pd.isnull(df))
Out[154]: (array([2, 5, 6, 6, 7, 7]), array([7, 7, 6, 7, 6, 7]))
In [155]: df.iloc[2,7]
Out[155]: nan
In [160]: [df.iloc[i,j] for i,j in zip(*np.where(pd.isnull(df)))]
Out[160]: [nan, nan, nan, nan, nan, nan]Copyright © 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
