drop - li nan ve sloupci pandy
df = df[df['EPS'].notna()]
drop sloupce s nan pandy
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwoman
prahová hodnota dropna
#dropping columns having more than 50% missing values(1994/2==1000)
df=df.dropna(thresh=1000,axis=1)
drop sloupec s hodnotami nan
fish_frame = fish_frame.dropna(axis = 1, how = 'all')