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Alex Rivera
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Is there any elegant way to exploit the correct spacing feature of print numpy.array to get a 2D array, with proper labels, that aligns properly? For example, given an array with 4 rows and 5 columns, how can I provide the array and appropriately sized lists corresponding to the row and header columns to generate some output that looks like this? A B C D E Z [[ 85 86 87 88 89] Y [ 90 191 192 93 94] X [ 95 96 97 98 99] W [100 101 102 103 104]] If I naively try: import numpy x = numpy.array([[85, 86, 87, 88, 89], \ [90, 191, 192, 93, 94], \ [95, 96, 97, 98, 99], \ [100,101,102,103,104]]) row_labels = ['Z', 'Y', 'X', 'W'] print " A B C D E" for row, row_index in enumerate(x): print row_labels[row_index], row I get: A B C D E Z [85 86 87 88 89] Y [90 191 192 93 94] X [95 96 97 98 99] W [100 101 102 103 104] Is there any way i can get things to line up intelligently? I am definitely open to using any other library if there is a better way to solve my problem.
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