Eksik değerleri dataframe'den Kaldır

Kod örnekleri

18
0

pandalar sütununda nan varsa bırak

df = df[df['EPS'].notna()]
2
0

NaN değerine sahip satırları veya sütunları kaldırma

df.dropna()     #drop all rows that have any NaN values
df.dropna(how='all')
1
0

bir sütundaki eksik değerleri bırakma pandalar

df = df[pd.notnull(df['RespondentID'])]   
# Drop the missing value present in the "RespondentID" column
1
0

nan pandalarla sütunları bırak

>>> df.dropna(axis='columns')
       name
0    Alfred
1    Batman
2  Catwoman
0
0

dropna eşiği

#dropping columns having more than 50% missing values(1994/2==1000)
df=df.dropna(thresh=1000,axis=1)

Diğer dillerde

Bu sayfa diğer dillerde

Русский
..................................................................................................................
English
..................................................................................................................
Italiano
..................................................................................................................
Polski
..................................................................................................................
Română
..................................................................................................................
한국어
..................................................................................................................
हिन्दी
..................................................................................................................
Français
..................................................................................................................
Česk
..................................................................................................................
Português
..................................................................................................................
ไทย
..................................................................................................................
中文
..................................................................................................................
Español
..................................................................................................................
Slovenský
..................................................................................................................
Балгарскі
..................................................................................................................
Íslensk
..................................................................................................................