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python Programming Glossary: b.shapehow do I check that two slices of numpy arrays are the same (or overlapping)? http://stackoverflow.com/questions/10747748/how-do-i-check-that-two-slices-of-numpy-arrays-are-the-same-or-overlapping same I can do something like a.base is b.base and a.shape b.shape and a.data b.data The comparison of buffers seemed to work in..
Finding matching submatrices inside a matrix http://stackoverflow.com/questions/11078122/finding-matching-submatrices-inside-a-matrix 20 20 b b 0 0 b b 0 255 # put b somewhere in a a 37 37 b.shape 0 84 84 b.shape 1 b # Now the actual solution... # Set the black.. 0 b b 0 255 # put b somewhere in a a 37 37 b.shape 0 84 84 b.shape 1 b # Now the actual solution... # Set the black values to 1.. white values to 1 a a 255 1 b b 255 1 max_peak numpy.prod b.shape # c will contain max_peak where the overlap is perfect c signal.correlate..
Numpy transpose not giving expected result http://stackoverflow.com/questions/11885503/numpy-transpose-not-giving-expected-result mode. a array 1 2 3 print a.shape 3 b a.transpose print b.shape 3 If i print the contents of arrays a and b they are similar...
http://stackoverflow.com/questions/15649097/numpy-sort-wierd-behavior 'Aug 09' 'Aug 09' 'Aug 09' ... 'Jan 13' 'Jan 13' 'Jan 13' b.shape 83761 b.dtype S6 bi idxb np.unique b return_index True months..
test for membership in a 2d numpy array http://stackoverflow.com/questions/16216078/test-for-membership-in-a-2d-numpy-array a.itemsize a.shape 1 b b.ravel .view np.str b.itemsize b.shape 1 return np.in1d a b assume_unique import numpy as np def inNd.. a.itemsize a.shape 1 b b.ravel .view np.str b.itemsize b.shape 1 return np.in1d a b assume_unique tests np.array 1 2 2 3 1..
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