Series数据类型
作者：互联网
In import pandas as pd
In import numpy as np
In S1=pd.Series()
In S1
Out Series([],dtype:float64)
In S2=pd.Series([1,3,5,7,9],index=['a','b','c','d','e',])
Out
a 1
b 3
c 5
d 7
e 9
dtype: int64
In S2.values
Out array([1,3,5,7,9],dtype=int64)
In S2.index
Out Index(['a','b','c','d','e'],dtype='object')
In S2['f']=11
In S2
Out
a 1
b 3
c 5
d 7
e 9
f 11
dtype: int64
In pd.Series({'a':1,'b':3,'c':5,'d':7})
Out
a 1
b 3
c 5
d 7
dtype: int64
In S3=pd.Series([1,3,-5,7])
In S3
Out
0 1
1 3
2 -5
3 7
dtype: int64
In np.random.seed(54321)
In pd.Series(np.random.randn(5))
Out
0 0.223979
1 0.744591
2 -0.334269
3 1.389172
4 -2.296095
dtype: float64
In pd.Series(np.arange(2,6))
Out
0 2
1 3
2 4
3 5
dtype:int32
In S4=pd.Series([0,np.NaN,2,4,6,8,True,10,12])
In S4.head()
Out
0 0
1 NaN
2 2
3 4
4 6
dtype:object
In S4.head(3)
Out
0 0
1 NaN
2 2
dtype:object
In S4.tail()
Out
4 6
5 8
6 True
7 10
8 12
dtype:object
In S4.tail(6)
Out
3 4
4 6
5 8
6 True
7 10
8 12
dtype:object
In S4.take([2,4,0]) #指定索引值
Out
2 2
4 6
0 0
dtype: object
In S5=pd.Series([1,3,5,7,9],index=['a','b','c','d','e',])
In S5[2],S5['d']
Out
(5,7)
In S5[[1,3,4]]
Out
b 3
d 7
e 9
dtype: int64
In S5[['b','e','d']]
Out
b 3
d 7
e 9
dtype: int64
In S5[0:4] #不包括结束位置
Out
a 2
b 4
c 6
d 8
dtype: int64
InS5['a':'d'] #包括结束位置
Out
a 1
b 3
c 5
d 7
dtype: int64
标签：Series,数据类型,S5,int64,pd,dtype,Out 来源： https://www.cnblogs.com/jackie-ding/p/14415940.html