#Pandas特有的数据类型
#创建Series
#用于存储一行或一列的数据,以及与之相关的索引的集合
import pandas as pd
s1 = pd.Series([43,56])
print(s1)
s2 = pd.Series([43,12.4])
print(s2)
s3 = pd.Series([False,True])
print(s3)
#有一个是对象,整个都变成对象
s4 = pd.Series([44,23.1,True,'Hello World'])
print(s4)
# 0 44
# 1 23.1
# 2 True
# 3 Hello World
# dtype: object
#改变第1列的索引(默认是数字)
ss = pd.Series(['Bill Gates','微软创始人'],index = ['Person','Who'])
print(ss)
# Person Bill Gates
# Who 微软创始人
# dtype: object
x = pd.Series(['a','True',1],index = ['first','second','third'])
#追加值是2
n = pd.Series(['2'])
x =x.append(n)
print(x)
# first a
# second True
# third 1
# 0 2
#根据位置(索引)删除,返回新的序列
#print(x.drop(x.index[3]))