The road of Mathematics-python Data Processing (1)

Pandas Foundation

Import Pandas ASPD

Import NumPy as NP

#数字序列

MYSERIES=PD. Series ([1,3,5,np.nan,6,8])

Print Myseries

#日期序列

Mydate=pd.date_range (' 20150101 ', periods=42)

Print MyDate

Generating sequences

The results are as follows:

0 1

1 3

2 5

3 NaN

4 6

5 8

Dtype:float64

<class ' Pandas.tseries.index.DatetimeIndex ' >

[2015-01-01, ..., 2015-02-11]

Length:42, Freq:d, Timezone:none

To generate a data set

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#-*-Coding:utf-8-*-

"""

Created on Mon Mar 09 11:21:02 2015

@author: [Email protected]

"""

Print U "python data analysis \ n"

Import Pandas as PD

Import NumPy as NP

#日期序列

Mydate=pd.date_range (' 20150101 ', periods=10)

Print MyDate

#构造商品销量数据

MYDF =PD. DataFrame (Np.random.randint (0,1000,size= (10,4)), Index=mydate,columns=[u ' Commodity a ', U ' goods b ', U ' commodity c ', U ' commodity d ')

#输出商品销量数据

Print MYDF

The results of the operation are as follows:

Runfile (' c:/users/administrator/desktop/test1.py ', wdir=r ' c:/users/administrator/desktop ')

Python Data analysis

<class ' Pandas.tseries.index.DatetimeIndex ' >

[2015-01-01, ..., 2015-01-10]

Length:10, Freq:d, Timezone:none

Commodity a commodity B commodity C commodity D

2015-01-01 369 836 908 440

2015-01-02 257 26 725 542

2015-01-03 485 694 701 172

2015-01-04 468 762 536 735

2015-01-05 828 996 852 267

2015-01-06 690 824 515 749

2015-01-07 357 740 559 157

2015-01-08 705 573 193 568

2015-01-09 285 853 600 132

2015-01-10 681 437 935 93

The road of Mathematics-python Data Processing (1)