Python pandas.DataFrame调整列顺序及修改index名的方法


						1. 从字典创建DataFrame





>>> import pandas

>>> dict_a = {'user_id':['webbang','webbang','webbang'],'book_id':['3713327','4074636','26873486'],'rating':['4','4','4'],'mark_date':['2017-03-07','2017-03-07','2017-03-07']}

>>> df = pandas.DataFrame(dict_a) # 从字典创建DataFrame

>>> df # 创建好的df列名默认按首字母顺序排序，和字典中的先后顺序并不一样，字典中是'user_id','book_id','rating','mark_date'

 book_id mark_date rating user_id

0 3713327 2017-03-07  4 webbang

1 4074636 2017-03-07  4 webbang

2 26873486 2017-03-07  4 webbang



2. 调整列顺序





>>> df = df[['user_id','book_id','rating','mark_date']] # 调整列顺序为'user_id','book_id','rating','mark_date'

>>> df

 user_id book_id rating mark_date

0 webbang 3713327  4 2017-03-07

1 webbang 4074636  4 2017-03-07

2 webbang 26873486  4 2017-03-07



3. 调整index为从1开始





>>> df.index = range(1,len(df) + 1) # 将index改成从1开始

>>> df

 user_id book_id rating mark_date

1 webbang 3713327  4 2017-03-07

2 webbang 4074636  4 2017-03-07

3 webbang 26873486  4 2017-03-07



DataFrame操作汇总：http://www.zwyuanma.com/article/163645.htm



以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持中文源码网。