浅谈python的dataframe与series的创建方法

# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd

def main():
 s = pd.Series([i*2 for i in range(1,11)])
 print type(s)
 print (s)

 dates = pd.date_range(\"20170301\",periods=8)
 df = pd.Data (np.random.randn(8,5),index=dates,columns = list(\"ABCDE\"))
 print df

if __name__ == \'__main__\':
 main()

D:\\Anaconda2\\python.exe E:/pypractice/DataAnalysis/pandasTest.py
<class \'pandas.core.series.Series\'>
0  2
1  4
2  6
3  8
4 10
5 12
6 14
7 16
8 18
9 20
dtype: int64
     A   B   C   D   E
2017-03-01 -0.746429 -0.540836 1.884101 0.607853 -0.367707
2017-03-02 1.172848 -0.482583 0.175146 -0.181268 -1.304475
2017-03-03 -0.416664 1.784968 1.767710 -1.157681 -0.909744
2017-03-04 -0.830197 -0.282451 0.543764 0.900877 0.553631
2017-03-05 -0.614170 -0.371306 0.553044 -0.054903 1.322286
2017-03-06 0.276449 -0.815241 -0.687530 0.514781 -0.823963
2017-03-07 0.939306 0.494661 -0.342454 -0.125811 -1.555909
2017-03-08 0.204852 0.006475 -0.625082 1.012985 0.447710


Process finished with exit code 0