# Series 數(shù)據(jù)結(jié)構(gòu)
# Series 是帶有標簽的一維數(shù)組，可以保存任何數(shù)據(jù)類型（整數(shù)，字符串，浮點數(shù)，Python對象等）,軸標簽統(tǒng)稱為索引

import numpy as np
import pandas as pd 
s = pd.Series(np.random.rand(5))
print(s)
print(s.index,type(s.index))
print(s.values,type(s.values))

[output]:
RangeIndex(start=0, stop=5, step=1)  <class 'pandas.core.indexes.range.RangeIndex'>
[0.41310443 0.51893698 0.5697928  0.10437544 0.64705221]  <class 'numpy.ndarray'>

#創(chuàng)建方法：
# Series 創(chuàng)建方法一：由字典創(chuàng)建，字典的key就是index，values就是values
dic = {'a':1 ,'b':2 , 'c':3, '4':4, '5':5}
s = pd.Series(dic)

# Series 創(chuàng)建方法二：由數(shù)組創(chuàng)建(一維數(shù)組)
arr = np.random.randn(5)
s = pd.Series(arr)
print(arr)
print(s)
# 默認index是從0開始，步長為1的數(shù)字

s = pd.Series(arr, index = ['a','b','c','d','e'],dtype = np.object)
print(s)
# index參數(shù)：設(shè)置index，長度保持一致
# dtype參數(shù)：設(shè)置數(shù)值類型

# Series 創(chuàng)建方法三：由標量創(chuàng)建
s = pd.Series(10, index = range(4))
print(s)
# 如果data是標量值，則必須提供索引。該值會重復(fù)，來匹配索引的長度

# Series 名稱屬性：name
s1 = pd.Series(np.random.randn(5))
print(s1)
s2 = pd.Series(np.random.randn(5),name = 'test')
print(s2)
s3 = s2.rename('hehehe')
print(s3)