Python Pandas. Dataframe adjusting column order and modifying the index name

1. Create a dataframe from a dictionary

>>>ImportPandas>>> 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)#Create a dataframe from a dictionary>>> DF#The created DF column names are sorted alphabetically by default, and the order in the dictionary is not the same, the dictionary is ' user_id ', ' book_id ', ' rating ', ' mark_date 'book_id mark_date Rating user_id03713327 2017-03-07 4Webbang1 4074636 2017-03-07 4Webbang2 26873486 2017-03-07 4 Webbang

2. Adjust column order

>>> df = df[['user_id','book_id','  Rating','mark_date'#  Adjust the column order to ' 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. Adjust index to start from 1

# change Index to start from 1 >>> 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 Operation Summary: http://www.cnblogs.com/huahuayu/p/8227494.html

Python Pandas. Dataframe adjusting column order and modifying the index name