本文通过一个csv实例文件来展示如何删除Pandas.DataFrame的行和列

数据文件名为:example.csv

内容为：

删除行

In [1]:import numpy as npimport pandas as pdodata = pd.read_csv('example.csv')odataOut[1]:date  spring  summer  autumn  winter0  2000  12.2338809  16.9073011333  15.6923831333  14.08596223331  2001  12.8474805667  16.7504687333  14.5140663667  13.50374562  2002  13.558175  17.2033926  15.6999475  13.23365246673  2003  12.6547247  16.8949153333  15.6614647  12.84347866674  2004  13.2537298  17.0469665667  15.2090537667  14.36479125  2005  13.4443049  16.7459822  16.6221879667  11.61082256676  2006  13.5056956667  16.8335785667  15.4979282  12.19934363337  2007  13.4885262333  16.6677328333  15.8170143667  13.74382168  2008  13.1515319  16.4865069333  15.7295728667  12.93233586679  2009  13.4577154333  16.6392378333  18.2601799667  12.653159433310  2010  13.1945485  16.7286889  15.4263526667  13.883358311  2011  14.3477941667  16.6894210333  14.1765804333  12.366541966712  2012  13.6050867  17.1305677333  14.7179677667  13.292552433313  2013  13.0279078667  17.3861934333  16.2034549667  13.186121333314  2014  12.7466816333  16.5442868667  14.7367682  12.870651246715  2015  13.465904  16.5061231667  12.4424366333  11.018138416  season  spring  summer  autumn  winter17  slope  0.037969137402  -0.0116468916667  -0.0791384411275  -0.0776527455294