questions anon wrote:
> I have been going round in circles trying to solve something that sounds
> simple. I have a huge array and I would like to reclassify the values.
> Firstly just make them zeros and ones, for example if the values in the
> array are less than 100 make them 0 and if greater than 100 make them 1.
> And then finally sum them together.
> I have attempted a few methods, see code below. Any feedback will be
> greatly appreciated.
>>> import numpy
>>> all_FFDI = numpy.arange(60).reshape((3,4,5))
>>> all_FFDI
array([[[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19]],
[[20, 21, 22, 23, 24],
[25, 26, 27, 28, 29],
[30, 31, 32, 33, 34],
[35, 36, 37, 38, 39]],
[[40, 41, 42, 43, 44],
[45, 46, 47, 48, 49],
[50, 51, 52, 53, 54],
[55, 56, 57, 58, 59]]])
>>> all_FFDI >= 25
array([[[False, False, False, False, False],
[False, False, False, False, False],
[False, False, False, False, False],
[False, False, False, False, False]],
[[False, False, False, False, False],
[ True, True, True, True, True],
[ True, True, True, True, True],
[ True, True, True, True, True]],
[[ True, True, True, True, True],
[ True, True, True, True, True],
[ True, True, True, True, True],
[ True, True, True, True, True]]], dtype=bool)
>>> (all_FFDI >= 25).sum()
35
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