How can I make this table in a way that Nan values will be replaced by stored values in first column ?

import pandas as pd import numpy as np import matplotlib.pyplot as plt df = pd. read_csv('imdb.csv', error_bad_lines = false) df vected 2 fields, saw 45 skipping line 148972: expected 22 fields, saw 39 skipping line 149180: expected 22 fields, saw 46 skipping line 150004: expected 22 fields, saw 42 skipping line 150132: expected 22 fields, saw 50 skipping line 150536: e pected 22 fields, saw 47 skipping line 150649: expected 22 fields, saw 53 skipping line 151495: expected 22 fields, saw 47 Skipping line 151693: expected 22 fields, saw 43 skipping line 152363: expected 22 fields, saw 47 skipping line 153946: e vected 22 fields, saw 49 skipping line 155915: expected 22 fields, saw 49 skipping line 156215: expected 22 fields, saw 54 11 duration country language director actors description : 0 Nan NaN NaN imdb_title_id title original_title year date_published genre tt0000009, Miss Jerry, Miss NaN Jerry, 1894 1894-10-... NaN NaN NaN tt0000574 The Story of the Kelly Gang, The NaN NaN NaN NaN NaN NaN NaN NaN 1 NaN Stor... NaN NaN NaN NaN NaN NaN 2 tt0001892,Den sorte drm. Den sorte drom, 1911,1... NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN 3 tt0002101, Cleopatra, Cleopatra, 1912,1912- 11-13,.. NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN Hnnn2120 I Infarna I 'Infarna 1011 1011