我有两个系列的熊猫,并想用这两个系列做一个元组。我需要这样:
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
我需要获得与上述相同的结果,但是我得到以下结果,该系列的名称为'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)
如何删除名称为tf idf的名称,并根据第一个适合我的情况的示例显示它?
答案 0 :(得分:1)
#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)
答案 1 :(得分:0)
如果您不希望只打印dtype,而只打印值,则只需这样做
print(serie1.values, serie2.values)