我有个阵列。我希望将值> 5替换为1,将值<= 5替换为0。我还必须考虑无效值(999)。
1)我的阵列:
>>> import numpy
>>> a = numpy.array([ [[2, 5, 999],[0, 12, 1]], [[999, 8, 7],[7, 11, 6]] ])
>>> a
array([[[ 2, 5, 999],
[ 0, 12, 1]],
[[999, 8, 7],
[ 7, 11, 6]]])2)我掩盖了无效值:
>>> mask_a = (a==999)
>>> a_masked = numpy.ma.masked_array(a, mask = mask_a)
>>> print a_masked
[[[2 5 --]
[0 12 1]]
[[-- 8 7]
[7 11 6]]]3)我将值<= 5替换为零:
>>> a_masked[a_masked<=5]=0
>>> print a_masked
[[[0 0 --]
[0 12 0]]
[[-- 8 7]
[7 11 6]]]4)我现在想用1代替>5的值:
>>> a_masked[a_masked>5]=1
>>> print a_masked
[[[0 0 1]
[0 1 0]]
[[1 1 1]
[1 1 1]]]为什么它不考虑到values=999已经被蒙住了?
我想得到以下结果:
[[[0 0 --]
[0 1 0]]
[[-- 1 1]
[1 1 1]]]发布于 2013-11-13 17:03:13
简单地说:
>>> a[a != 999] = (a[a != 999] > 5)
>>> a
array([[[ 0, 0, 999],
[ 0, 1, 0]],
[[999, 1, 1],
[ 1, 1, 1]]])发布于 2013-11-13 17:06:27
a = np.piecewise(a, [a < 5, numpy.logical_and(a > 5,a <999) ,a >= 999], [0, 1,999])我想只要一句台词就能做你想做的事。
https://stackoverflow.com/questions/19959740
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