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'])
odstraňte řádky nebo sloupce s hodnotou NaN
df.dropna() #drop all rows that have any NaN values
df.dropna(how='all')
odebrat nan ze seznamu python
cleanedList = [x for x in countries if str(x) != 'nan']
drop sloupce s nan pandy
>>> df.dropna(axis='columns')
name
0 Alfred
1 Batman
2 Catwoman