drop - li nan ve sloupci pandy
df = df[df['EPS'].notna()]
drop na pandy
>>> df.dropna(subset=['name', 'born'])
name toy born
1 Batman Batmobile 1940-04-25
odstraňte řádky nebo sloupce s hodnotou NaN
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
smazat nans v DF Pythonu
df[~np.isnan(df)]