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：https://www.jb51.net/article/163645.htm

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