import pandas as pd

Series

                                      类似于一维数组的对象

t=pd.Series([1,2,3,4,5])print(t)'''0    11    22    33    44    5dtype: int64'''

 

t=pd.Series([1,2,3,4,5],index=['a','b','c','d','e'])print(t)'''a    1b    2c    3d    4e    5dtype: int64'''

 

import pandas as pdd={
   'a':1,'b':2,'c':3,'d':4,'e':5}t=pd.Series(d)print(t)'''a    1b    2c    3d    4e    5dtype: int64'''

DataFrame

                                      表格型的结构，类似于R语言中的数据框

d=[['wangfei',12,'f'],['nihao',23,'f'],['zhangwei',12,'m']]t=pd.DataFrame(d,index=[0,1,2],columns=['name','age','sex'])print(t)'''      name    age       sex0  wangfei  nihao  zhangwei1       12     23        122        f      f         m[3 rows x 3 columns]'''

#嵌套字典d={
   'name':{0:'wangfei',1:'nihao',2:'zhangwei'},'age':{0:12,1:23,2:12},'sex':{0:'f',1:'f',2:'m'}}#外层字典的键作为列，内层字典的键作为行索引t=pd.DataFrame(d)print(t)'''   age      name sex0   12   wangfei   f1   23     nihao   f2   12  zhangwei   m[3 rows x 3 columns]'''