pandas - 如何从熊猫系列中删除名称
问题描述
我有两个系列的熊猫,想用这两个系列制作一个元组。我需要是这样的:
print(serie1,serie2)
sympathetic 0.074475
healer 0.074475
aaniye 0.074475
dependable 0.074475
companion 0.074475
listener 0.074475
athletic 0.074475
exterminator 0.074475
psychiatrist 0.074475
pest 0.074475
determined 0.074475
chef 0.074475
courageous 0.074475
stylist 0.074475
psychologist 0.074475
organizer 0.074475
pudunga 0.074475
venaam 0.074475
diwali 0.091250
mornings 0.091250
dtype: float64, 146tf150p 1.000000
havent 1.000000
home 1.000000
okie 1.000000
thanx 1.000000
er 1.000000
anything 1.000000
lei 1.000000
nite 1.000000
yup 1.000000
thank 1.000000
ok 1.000000
where 1.000000
beerage 1.000000
anytime 1.000000
too 1.000000
done 1.000000
645 1.000000
tick 0.980166
blank 0.932702
我需要得到与上面相同的结果,但我有以下结果,显示该系列的名称“tfidf”:
(sympathetic 0.074475
healer 0.074475
aaniye 0.074475
dependable 0.074475
companion 0.074475
listener 0.074475
athletic 0.074475
exterminator 0.074475
psychiatrist 0.074475
pest 0.074475
determined 0.074475
chef 0.074475
courageous 0.074475
stylist 0.074475
psychologist 0.074475
organizer 0.074475
pudunga 0.074475
venaam 0.074475
diwali 0.091250
mornings 0.091250
Name: tfidf, dtype: float64, 146tf150p 1.000000
yup 1.000000
645 1.000000
done 1.000000
too 1.000000
anytime 1.000000
beerage 1.000000
ok 1.000000
thank 1.000000
where 1.000000
nite 1.000000
lei 1.000000
anything 1.000000
er 1.000000
thanx 1.000000
okie 1.000000
home 1.000000
havent 1.000000
tick 0.980166
blank 0.932702
Name: tfidf, dtype: float64)
如何删除名称 tf idf 并根据我认为正确的第一个示例显示它?
解决方案
#The name of the index column of the series is deleted.
del series1.index.name
del series2.index.name
#The name of the series is omited
series1.name = series2.name = None
#This should return a tuple of two series
In:(series1, series2)
Out:(sympathetic 0.074475
healer 0.074475
aaniye 0.074475
dependable 0.074475
companion 0.074475
listener 0.074475
athletic 0.074475
exterminator 0.074475
psychiatrist 0.074475
pest 0.074475
determined 0.074475
chef 0.074475
courageous 0.074475
stylist 0.074475
psychologist 0.074475
organizer 0.074475
pudunga 0.074475
venaam 0.074475
diwali 0.091250
mornings 0.091250
dtype: float64, 146tf150p 1.000000
yup 1.000000
645 1.000000
done 1.000000
too 1.000000
anytime 1.000000
beerage 1.000000
ok 1.000000
thank 1.000000
where 1.000000
nite 1.000000
lei 1.000000
anything 1.000000
er 1.000000
thanx 1.000000
okie 1.000000
home 1.000000
havent 1.000000
tick 0.980166
blank 0.932702
dtype: float64)
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