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更改pandas dataframe 列的顺序

时间:2016-04-20 19:45:19      阅读:311      评论:0      收藏:0      [点我收藏+]

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摘自 stackoverflow

这是我的df:


                             Net   Upper   Lower  Mid  Zsore
Answer option                                                
More than once a day          0%   0.22%  -0.12%   2    65 
Once a day                    0%   0.32%  -0.19%   3    45
Several times a week          2%   2.45%   1.10%   4    78
Once a week                   1%   1.63%  -0.40%   6    65

怎样将mid这一列移动到第一列?

                   Mid   Upper   Lower  Net  Zsore
Answer option                                                
More than once a day          2   0.22%  -0.12%   0%    65 
Once a day                    3   0.32%  -0.19%   0%    45
Several times a week          4   2.45%   1.10%   2%    78
Once a week                   6   1.63%  -0.40%   1%    65
解答:

We can use ix to reorder by passing a list:
In [27]:
# get a list of columns
cols = list(df)
# move the column to head of list using index, pop and insert
cols.insert(0, cols.pop(cols.index(Mid)))
cols
Out[27]:
[Mid, Net, Upper, Lower, Zsore]
In [28]:
# use ix to reorder
df = df.ix[:, cols]
df
Out[28]:
                      Mid Net  Upper   Lower  Zsore
Answer_option                                      
More_than_once_a_day    2  0%  0.22%  -0.12%     65
Once_a_day              3  0%  0.32%  -0.19%     45
Several_times_a_week    4  2%  2.45%   1.10%     78
Once_a_week             6  1%  1.63%  -0.40%     65

Another method is to take a reference to the column and reinsert it at the front:

In [39]:
mid = df[Mid]
df.drop(labels=[Mid], axis=1,inplace = True)
df.insert(0, Mid, mid)
df
Out[39]:
                      Mid Net  Upper   Lower  Zsore
Answer_option                                      
More_than_once_a_day    2  0%  0.22%  -0.12%     65
Once_a_day              3  0%  0.32%  -0.19%     45
Several_times_a_week    4  2%  2.45%   1.10%     78
Once_a_week             6  1%  1.63%  -0.40%     65

 




更改pandas dataframe 列的顺序

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原文地址:http://www.cnblogs.com/zhoudayang/p/5414020.html

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