Python pandas.DataFrame调整列顺序及修改index名

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.cnblogs.com/huahuayu/p/8227494.html

原文地址：https://www.cnblogs.com/huahuayu/p/8324755.html