1.In [1]: from pandas import Series,DataFrame
In [2]: import pandas as pd In [4]: ss=pd.Series
In [5]: df=pd.DataFrame
In [6]: obj=ss([3,2,1,4])
In [8]: obj Out[8]: 0 3 1 2 2 1 3 4 dtype: int64
In [9]: obj.values Out[9]: array([3, 2, 1, 4], dtype=int64)
In [10]: obj.index Out[10]: Int64Index([0, 1, 2, 3], dtype=’int64’)
In [13]: obj2=ss([3,2,2,6666],index=[‘a’,’b’,’c’,’d’])
In [14]: obj2 Out[14]: a 3 b 2 c 2 d 6666 dtype: int64
2. In [15]: obj2[obj2>3] Out[15]: d 6666 dtype: int64
In [16]: obj2+3 Out[16]: a 6 b 5 c 5 d 6669 dtype: int64
In [17]: import numpy as np
In [18]: np.sqrt(obj2) Out[18]: a 1.732051 b 1.414214 c 1.414214 d 81.645576 dtype: float64
3.In [19]: sadada={‘love1’:2232,’love2’:33232,’love3’:88988}
In [20]: sadada{‘love1’} File “”, line 1 sadada{‘love1’} ^ SyntaxError: invalid syntax
In [21]: sadada[‘love1’] Out[21]: 2232
In [22]: obj3=ss(sadada)
In [23]: obj3 Out[23]: love1 2232 love2 33232 love3 88988 dtype: int64
4.In [30]: obj4=ss(sadada,index=states)
In [31]: obj4 Out[31]: CC NaN bb NaN aa NaN dtype: float64
In [32]: pd.isnull(obj4)(用来表示数值是否缺失) Out[32]: CC True bb True aa True dtype: bool
5. In [33]: obj3 Out[33]: love1 2232 love2 33232 love3 88988 dtype: int64
In [34]: obj3.name=’love number’
In [35]: obj3 Out[35]: love1 2232 love2 33232 love3 88988 Name: love number, dtype: int64
In [36]: obj3.index.name=’love man‘
In [37]: obj3 Out[37]: love man love1 2232 love2 33232 love3 88988 Name: love number, dtype: int64
6. In [39]: data={‘name’:[‘Bob’,’KIM’,’Apple’,’Gogo’,’feiiw’],’year’:[1222,1333,1414,1996,1898],’pop’:[2,24242,33,44,11151]}
In [40]: frame=df(data)
In [41]: frame Out[41]: name pop year 0 Bob 2 1222 1 KIM 24242 1333 2 Apple 33 1414 3 Gogo 44 1996 4 feiiw 11151 1898
In [42]: frame=df(data,columns=[‘pop’,’name’,’year’])
In [43]: frame Out[43]: pop name year 0 2 Bob 1222 1 24242 KIM 1333 2 33 Apple 1414 3 44 Gogo 1996 4 11151 feiiw 1898
7. In [44]: frame.columns Out[44]: Index([u’pop’, u’name’, u’year’], dtype=’object’)
In [45]: frame[‘pop’] Out[45]: 0 2 1 24242 2 33 3 44 4 11151 Name: pop, dtype: int64
8. In [47]: frame.year Out[47]: 0 1222 1 1333 2 1414 3 1996 4 1898 Name: year, dtype: int64
In [48]: frame.name Out[48]: 0 Bob 1 KIM 2 Apple 3 Gogo 4 feiiw Name: name, dtype: object
In [49]: frame.pop Out[49]:
