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python Programming Glossary: np.sumPython/matplotlib : plotting a 3d cube, a sphere and a vector? http://stackoverflow.com/questions/11140163/python-matplotlib-plotting-a-3d-cube-a-sphere-and-a-vector 1 for s e in combinations np.array list product r r r 2 if np.sum np.abs s e r 1 r 0 ax.plot3D zip s e color b #draw sphere u..
Fast Way to slice image into overlapping patches and merge patches to image http://stackoverflow.com/questions/16774148/fast-way-to-slice-image-into-overlapping-patches-and-merge-patches-to-image to an image again with the precomputed indices. img np.sum patchesWithColFlat ind axis 2 As patches overlap it is necessary.. patchesWithCol.flatten ind pInd.patch2img.tolist img np.sum patchesWithColFlat ind axis 2 return img I call those functions..
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 np.double .reshape 500 500 500 First lets look at the np.sum function np.all np.sum arr_3D np.einsum 'ijk ' arr_3D True timeit.. 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 10.. np.all np.sum arr_3D np.einsum 'ijk ' arr_3D True timeit np.sum arr_3D 10 loops best of 3 142 ms per loop timeit np.einsum 'ijk..
Inverse Distance Weighted (IDW) Interpolation with Python http://stackoverflow.com/questions/3104781/inverse-distance-weighted-idw-interpolation-with-python w 1 dist p if weights is not None w weights ix # 0 w np.sum w wz np.dot w self.z ix if self.stat self.wn 1 self.wsum..
How to detect motion between two PIL images? (wxPython webcam integration example included) http://stackoverflow.com/questions/5524179/how-to-detect-motion-between-two-pil-images-wxpython-webcam-integration-exampl w h 3 h e np.histogramdd a bins 16 3 range 0 256 3 prob h np.sum h return np.sum np.log2 prob prob 0 def OldImageEntropy self.. a bins 16 3 range 0 256 3 prob h np.sum h return np.sum np.log2 prob prob 0 def OldImageEntropy self image histogram.. w h 3 h e np.histogramdd a bins 16 3 range 0 256 3 prob h np.sum h # normalize prob prob prob 0 # remove zeros return np.sum..
How to apply numpy.linalg.norm to each row of a matrix? http://stackoverflow.com/questions/7741878/how-to-apply-numpy-linalg-norm-to-each-row-of-a-matrix it directly using the axis 1 argument to sum along rows np.sum np.abs x 2 axis 1 1. 2 Lp norms can be computed similarly of.. 1 x 1000 loops best of 3 208 us per loop In 49 timeit np.sum np.abs x 2 axis 1 1. 2 100000 loops best of 3 18.3 us per loop.. 1 1 x 1000 loops best of 3 203 us per loop In 54 timeit np.sum abs x axis 1 100000 loops best of 3 10.9 us per loop share..
http://stackoverflow.com/questions/7799977/numpy-vs-cython-speed 1 out np.zeros rows cols for row in range 0 rows out row np.sum array array row axis 0 return out def main data np.load 'data.npy'.. 2 out np.zeros rows cols for row in range 0 rows out row np.sum array array row axis 0 return out def main cdef np.ndarray DTYPE_t..
Vectorization of this Numpy double loop http://stackoverflow.com/questions/8299891/vectorization-of-this-numpy-double-loop be anything just an example so that the code runs return np.sum arr num_a 12 num_b 8 num_dimensions 3 a np.random.rand num_dimensions.. the given example it's very easy to do def foo arr return np.sum arr axis 0 Now use broadcasting rules to create a N A B array..
http://stackoverflow.com/questions/9330114/chi-squared-test-in-python np.array 20. 20. 0. 0. expected np.array .25 .25 .25 .25 np.sum observed chisquare observed expected 40.0 1.065509033425585e..
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