Pandas DataFrame output of all columns in the order specified method

problem:

DataFrame new target output, and the display order DataFrame inconsistent definitions DataFrame in each column.

E.g:

import pandas as pd
grades = [48,99,75,80,42,80,72,68,36,78]
df = pd.DataFrame( {'ID': ["x%d" % r for r in range(10)],
                    'Gender' : ['F', 'M', 'F', 'M', 'F', 'M', 'F', 'M', 'M', 'M'],
                    'ExamYear': ['2007','2007','2007','2008','2008','2008','2008','2009','2009','2009'],
                    'Class': ['algebra', 'stats', 'bio', 'algebra', 'algebra', 'stats', 'stats', 'algebra', 'bio', 'bio'],
                    'Participated': ['yes','yes','yes','yes','no','yes','yes','yes','yes','yes'],
                    'Passed': ['yes' if x > 50 else 'no' for x in grades],
                    'Employed': [True,True,True,False,False,False,False,True,True,False],
                    'Grade': grades})

print(df)

The output is:

  Class Employed ExamYear Gender Grade ID Participated Passed
0 algebra  True  2007  F  48 x0   yes  no
1 stats  True  2007  M  99 x1   yes yes
2  bio  True  2007  F  75 x2   yes yes
3 algebra False  2008  M  80 x3   yes yes
4 algebra False  2008  F  42 x4   no  no
5 stats False  2008  M  80 x5   yes yes
6 stats False  2008  F  72 x6   yes yes
7 algebra  True  2009  M  68 x7   yes yes
8  bio  True  2009  M  36 x8   yes  no
9  bio False  2009  M  78 x9   yes yes

Solution

Add the following code to the above code:

cols=['ID','Gender','ExamYear','Class','Participated','Passed','Employed','Grade']
df=df.ix[:,cols]

df = df.ix [:, cols] statement indicates, DataFrame row index unchanged, the column index is given the index cols.

The output is:

   ID Gender ExamYear    Class Participated Passed  Employed  Grade
0  x0      F     2007  algebra          yes     no      True     48
1  x1      M     2007    stats          yes    yes      True     99
2  x2      F     2007      bio          yes    yes      True     75
3  x3      M     2008  algebra          yes    yes     False     80
4  x4      F     2008  algebra           no     no     False     42
5  x5      M     2008    stats          yes    yes     False     80
6  x6      F     2008    stats          yes    yes     False     72
7  x7      M     2009  algebra          yes    yes      True     68
8  x8      M     2009      bio          yes     no      True     36
9  x9      M     2009      bio          yes    yes     False     78

From https://www.zhangshengrong.com/p/ArXGrLDBNj/