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python Programming Glossary: np.all

numpy all differing from builtin all

http://stackoverflow.com/questions/14391501/numpy-all-differing-from-builtin-all

for this weirdness in numpy's all import numpy as np np.all xrange 10 False np.all i for i in xrange 10 True python numpy.. in numpy's all import numpy as np np.all xrange 10 False np.all i for i in xrange 10 True python numpy share improve this..

test for membership in a 2d numpy array

http://stackoverflow.com/questions/16216078/test-for-membership-in-a-2d-numpy-array

True for a b answer in tests result inNd b a try assert np.all answer result except AssertionError print ''' a a b b answer..

Why do Numpy.all() and any() give wrong results if you use generator expressions?

http://stackoverflow.com/questions/16334860/why-do-numpy-all-and-any-give-wrong-results-if-you-use-generator-expressions

x python numpy share improve this question np.any and np.all don't work on generators. They need sequences. When given a.. bool x for x in false True List comprehensions work though np.all x for x in false False np.any x for x in false False I advise..

find and delete from more-dimensional numpy array

http://stackoverflow.com/questions/16839303/find-and-delete-from-more-dimensional-numpy-array

should work like p_r_colors np.delete p_a_colors np.where np.all p_a_colors p_rem axis 0 0 but I just don't get the axis or right... range len p_rem p_r_colors np.delete p_r_colors np.where np.all p_r_colors p_rem i axis 1 0 would work but I am trying to avoid..

Why is numpy's einsum faster than numpy's built in functions?

http://stackoverflow.com/questions/18365073/why-is-numpys-einsum-faster-than-numpys-built-in-functions

500 500 500 First lets look at the np.sum function np.all np.sum arr_3D np.einsum 'ijk ' arr_3D True timeit np.sum arr_3D.. 'ijk ' arr_3D 10 loops best of 3 70.2 ms per loop Powers np.allclose arr_3D arr_3D arr_3D np.einsum 'ijk ijk ijk ijk' arr_3D.. arr_3D 1 loops best of 3 694 ms per loop Outer product np.all np.outer arr_1D arr_1D np.einsum 'i k ik' arr_1D arr_1D True..

How to write a multidimensional array to a text file?

http://stackoverflow.com/questions/3685265/how-to-write-a-multidimensional-array-to-a-text-file

How can I efficiently process a numpy array in blocks similar to Matlab's blkproc (blockproc) function

http://stackoverflow.com/questions/5073767/how-can-i-efficiently-process-a-numpy-array-in-blocks-similar-to-matlabs-blkpro

R blk_size 16 16 overlap 0 0 fun passthrough np.all R Rprime python matlab image processing numpy scipy share..

Performance comparison of OpenCV-Python interfaces, cv and cv2

http://stackoverflow.com/questions/9357696/performance-comparison-of-opencv-python-interfaces-cv-and-cv2

palette np.uint8 h2 palette gray print time.time t print np.all h h2 The output is 0.453000068665 0.0309998989105 True The cv..