pandas数据结构1

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    1
1    2
2    3
3    4
4    5
dtype: int64
'''

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

import pandas as pd
d={'a':1,'b':2,'c':3,'d':4,'e':5}
t=pd.Series(d)
print(t)
'''
a    1
b    2
c    3
d    4
e    5
dtype: 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       sex
0  wangfei  nihao  zhangwei
1       12     23        12
2        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 sex
0   12   wangfei   f
1   23     nihao   f
2   12  zhangwei   m
[3 rows x 3 columns]

'''