I am trying to rewrite a matlab code in python27. There is a matlab line as follows:
vector_C = vector_A > vector_B; If I try to write this in python using numpy it will be the same, but the result will be an array of booleans instead of binaries. I want the result to be in binaries. Is there a way to make it return binary or should I convert manually each time? Is there a quick way of converting it? I am new to python. Thanks.
Even though vector_C may have dtype=bool, you can still do operations such as the following:
In [1]: vector_A = scipy.randn(4) In [2]: vector_B = scipy.zeros(4) In [3]: vector_A Out[3]: array([ 0.12515902, -0.53244222, -0.67717936, -0.74164708]) In [4]: vector_B Out[4]: array([ 0., 0., 0., 0.]) In [5]: vector_C = vector_A > vector_B In [6]: vector_C Out[6]: array([ True, False, False, False], dtype=bool) In [7]: vector_C.sum() Out[7]: 1 In [8]: vector_C.mean() Out[8]: 0.25 In [9]: 3 - vector_C Out[9]: array([2, 3, 3, 3]) So, in short, you probably don't have to do anything extra.
But if you must do a conversion, you may use astype:
In [10]: vector_C.astype(int) Out[10]: array([1, 0, 0, 0]) In [11]: vector_C.astype(float) Out[11]: array([ 1., 0., 0., 0.]) You can force numpy to store the elements as integers. It treats 0 as false and 1 as true.
import numpy vector_C = numpy.array( vector_A > vector_B, dtype=int) ;