Find empty or NaN entry in Pandas Dataframe
np.where(pd.isnull(df)) returns the row and column indices where the value is NaN: In [152]: import numpy as np In [153]: import pandas as pd 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, … Read more