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')
pandy padají s Babišem
import pandas as pd
df = pd.DataFrame({'values_1': ['700','ABC','500','XYZ','1200'],
'values_2': ['DDD','150','350','400','5000']
})
df = df.apply (pd.to_numeric, errors='coerce')
df = df.dropna()
df = df.reset_index(drop=True)
print (df)
drop sloupec s hodnotami nan
fish_frame = fish_frame.dropna(axis = 1, how = 'all')