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：/post/163645.htm
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