Run
import pandas as pd import numpy as np df = pd.DataFrame( [[np.nan, 72, 67], [23, 78, 62], [32, 74, np.nan], [np.nan, 54, 76]]) for i in range(df.shape[0]): #iterate over rows for j in range(df.shape[1]): #iterate over columns value = df.at[i, j] #get cell value print(np.isnan(value), end="\t") print()
Output