Df.dropna podmnožina

Příklady kódu

9
0

drop na pandy

>>> df.dropna(subset=['name', 'born'])
       name        toy       born
1    Batman  Batmobile 1940-04-25
2
0

dropna pandy

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

dropna pandy

df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
                   "toy": [np.nan, 'Batmobile', 'Bullwhip'],
                   "born": [pd.NaT, pd.Timestamp("1940-04-25"),
                            pd.NaT]})
df
# o/p
#        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()
# o/p
#      name        toy       born
# 1  Batman  Batmobile 1940-04-25

# ref. https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.dropna.html
1
0

Vrací nový dataframe vynechání řádků s hodnotami null

# Returns a new DataFrame omitting rows with null values

df4.na.drop().show()
# +---+------+-----+
# |age|height| name|
# +---+------+-----+
# | 10|    80|Alice|
# +---+------+-----+
0
0

prahová hodnota dropna

#dropping columns having more than 50% missing values(1994/2==1000)
df=df.dropna(thresh=1000,axis=1)
0
0

drop na pandy

>>> df.dropna(subset=['name', 'born'])
       name        toy       born
1    Batman  Batmobile 1940-04-25
0
0

prahová hodnota u pand dropna

>>>df = pd.DataFrame({"name": ['Alfred', 'Batman', 'Catwoman'],
                   "toy": [np.nan, 'Batmobile', 'Bullwhip'],
                   "born": [pd.NaT, pd.Timestamp("1940-04-25"),
                            pd.NaT]}) 
df.dropna(thresh=2)
       name        toy       born
1    Batman  Batmobile 1940-04-25
2  Catwoman   Bullwhip        NaT

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