# View more python tutorials on my Youtube and Youku channel!!! # Youtube video tutorial: https://www.youtube.com/channel/UCdyjiB5H8Pu7aDTNVXTTpcg # Youku video tutorial: http://i.youku.com/pythontutorial """ Please note, this code is only for python 3+. If you are using python 2+, please modify the code accordingly. """ from __future__ import print_function import pandas as pd import numpy as np s = pd.Series([1,3,6,np.nan,4,1]) # similar with 1D numpy print(s) dates = pd.date_range('20160101', periods=6) df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=['A','B','C','D']) print(df['B']) df2 = pd.DataFrame({'A' : 1., 'B' : pd.Timestamp('20130102'), 'C' : pd.Series(1,index=list(range(4)),dtype='float32'), 'D' : np.array([3] * 4,dtype='int32'), 'E' : pd.Categorical(["test","train","test","train"]), 'F' : 'foo'}) print(df2) print(df2.dtypes) print(df.index) print(df.columns) print(df.values) print(df.describe()) print(df.T) print(df.sort_index(axis=1, ascending=False)) print(df.sort_values(by='B'))