Pandalarda boş değerler bırakma

Kod örnekleri

5
0

pandalar dataframe içinde nan bırakarak

df.dropna(subset=['name', 'born'])
3
0

boş satır pandalarını bırak

df.dropna()
3
0

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 1940-04-25
1
0

Boş 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|
# +---+------+-----+
0
0

pandalar sütunda null olan satırları kaldırır

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

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