drop - li nan ve sloupci pandy
df = df[df['EPS'].notna()]
jak odstranit hodnoty nan v Pythonu
x = x[~numpy.isnan(x)]
pandy dropna
df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
... "toy": [np.nan, 'Batmobile', 'Bullwhip'],
... "born": [pd.NaT, pd.Timestamp("1940-04-25"),
... pd.NaT]})
>>> df
name toy born
0 Alfred NaN NaT
1 Batman Batmobile 1940-04-25
2 Catwoman Bullwhip NaT
##Drop the rows where at least one element is missing.
>>> df.dropna()
name toy born
1 Batman Batmobile 1940-04-25
odstranit pandy z nan
df=df.dropna(subset=['columnname])
drop sloupce s nan pandy
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwoman
drop sloupec s hodnotami nan
fish_frame = fish_frame.dropna(axis = 1, how = 'all')