I have a 2d list:
['C', 'A', 'D', 'B'], #header row
['F', 'C', 'F', 'E'], #row 1
['F', 'E', 'F', 'F'], #row 2
['B', 'A', 'F', 'A'],
['A', 'F', 'C', 'E'],
['F', 'F', 'E', 'E'],
['C', 'E', 'F', 'C']
The first row in the list is the header row: C, A, D, B. How can I change this so that the columns are in order so it will appear:
['A', 'B', 'C', 'D'], #header row
['C', 'E', 'F', 'F'], #row 1
['E', 'F', 'F', 'F'], #row 2
['A', 'A', 'B', 'F'],
['F', 'E', 'A', 'C'],
['F', 'E', 'F', 'E'],
['E', 'C', 'C', 'F']
I want the headers to be in order A,B,C,D but also move the columns underneath with the header
You can use sorted
and zip
, first create a list of your column with zip(*a)
then sort it (based on first index) with sorted
, and again convert to first state with zip
and convert the indices to list with map
:
>>> map(list,zip(*sorted(zip(*a))))
[['A', 'B', 'C', 'D'],
['C', 'E', 'F', 'F'],
['E', 'F', 'F', 'F'],
['A', 'A', 'B', 'F'],
['F', 'E', 'A', 'C'],
['F', 'E', 'F', 'E'],
['E', 'C', 'C', 'F']]
You could use numpy.
>>> import numpy as np
>>> data = np.array([['C', 'A', 'D', 'B'], #header row
... ['F', 'C', 'F', 'E'], #row 1
... ['F', 'E', 'F', 'F'], #row 2
... ['B', 'A', 'F', 'A'],
... ['A', 'F', 'C', 'E'],
... ['F', 'F', 'E', 'E'],
... ['C', 'E', 'F', 'C']])
>>> data[:,np.argsort(data[0])] # select sorted indices of first row as column indices.
array([['A', 'B', 'C', 'D'],
['C', 'E', 'F', 'F'],
['E', 'F', 'F', 'F'],
['A', 'A', 'B', 'F'],
['F', 'E', 'A', 'C'],
['F', 'E', 'F', 'E'],
['E', 'C', 'C', 'F']],
dtype='|S1')
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