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_id0 3713327 2017-03-07 4 webbang1 4074636 2017-03-07 4 webbang2 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_date0 webbang 3713327 4 2017-03-071 webbang 4074636 4 2017-03-072 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_date1 webbang 3713327 4 2017-03-072 webbang 4074636 4 2017-03-073 webbang 26873486 4 2017-03-07

DataFrame操作汇总：https://www.jb51.net/article/163645.htm

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