Pandalar sütunundan nan'i Kaldır
Kod örnekleri
bir veri çerçevesindeki na değerleri nasıl silinir
# if you want to delete rows containing NA values
df.dropna(inplace=True)pandalar 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 1940-04-25Boş değerlere sahip satırları atlayan yeni bir DataFrame döndürür
# Returns a new DataFrame omitting rows with null values
df4.na.drop().show()
# +---+------+-----+
# |age|height| name|
# +---+------+-----+
# | 10| 80|Alice|
# +---+------+-----+İlgili sayfalar
Örneklerle ilgili sayfalar
Diğer dillerde
Bu sayfa diğer dillerde
empty row
Русский
..................................................................................................................
English
..................................................................................................................
Italiano
..................................................................................................................
Polski
..................................................................................................................
Română
..................................................................................................................
한국어
..................................................................................................................
हिन्दी
..................................................................................................................
Français
..................................................................................................................
Česk
..................................................................................................................
Português
..................................................................................................................
ไทย
..................................................................................................................
中文
..................................................................................................................
Español
..................................................................................................................
Slovenský
..................................................................................................................
Балгарскі
..................................................................................................................
Íslensk
..................................................................................................................
Bu kategoride popüler
Popüler kategori örnek sayfaları
empty row