drop více sloupců pandy
yourdf.drop(['columnheading1', 'columnheading2'], axis=1, inplace=True)
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
shazování nan v pandy dataframe
df.dropna(subset=['name', 'born'])
python odstranit nan řádky
df = df[df['my_var'].notna()]
smazat nans v DF Pythonu
df[~np.isnan(df)]