drop - li nan ve sloupci pandy
df = df[df['EPS'].notna()]
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')
odstranit pandy z nan
df=df.dropna(subset=['columnname])
drop sloupec s hodnotami nan
fish_frame = fish_frame.dropna(axis = 1, how = 'all')
jak odfiltrovat všechny hodnoty NaN u pand df
#return a subset of the dataframe where the column name value != NaN
df.loc[df['column name'].isnull() == False]