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python Programming Glossary: convolve

Finding moving average from data points in Python

http://stackoverflow.com/questions/11352047/finding-moving-average-from-data-points-in-python

xlabel ylabel grid from numpy import linspace loadtxt ones convolve import numpy as numpy data loadtxt sunspots.txt float def movingaverage.. numpy.ones int window_size float window_size return numpy.convolve interval window 'same' x data 0 y data 1 plot x y k. y_av movingaverage.. sliding window function to a signal is by using numpy.convolve . def movingaverage interval window_size window numpy.ones int..

Counting of adjacent cells in a numpy array

http://stackoverflow.com/questions/12612663/counting-of-adjacent-cells-in-a-numpy-array

2 4 1 # with example value structure b 1 a c scipy.signal.convolve2d b numpy.ones 3 3 mode 'same' print numpy.sum c a b 1 a allows.. a allows us to count each zero while ignoring the ones. We convolve with a 3x3 all ones kernel which sets each element to the sum..

Convolution of two three dimensional arrays with padding on one side too slow

http://stackoverflow.com/questions/14786920/convolution-of-two-three-dimensional-arrays-with-padding-on-one-side-too-slow

on one side too slow In my current project I need to convolve two three dimensional arrays in a slightly unusual way Assume.. and not usable. My second version was C scipy.signal.fftconvolve A B mode full But this computes only the elements max dimA dimB.. of how fast it is implemented. In my tests the fftconvolve method crosses over to be faster around N 20 and by N 32 is..

Improving Numpy Performance

http://stackoverflow.com/questions/2196693/improving-numpy-performance

a.reshape 1000 1000 filt numpy.array 1 1 1 1 8 1 1 1 1 def convolve global a filt scipy.signal.convolve2d a filt mode same t timeit.Timer.. 1 1 1 1 8 1 1 1 1 def convolve global a filt scipy.signal.convolve2d a filt mode same t timeit.Timer convolve from __main__ import.. scipy.signal.convolve2d a filt mode same t timeit.Timer convolve from __main__ import convolve print .2f sec pass 10 t.timeit..

2d convolution using python and numpy

http://stackoverflow.com/questions/2448015/2d-convolution-using-python-and-numpy

nc dtype np.float32 #fill array with some data here then convolve for r in range nr data r np.convolve data r H_r 'same' for c.. some data here then convolve for r in range nr data r np.convolve data r H_r 'same' for c in range nc data c np.convolve data.. np.convolve data r H_r 'same' for c in range nc data c np.convolve data c H_c 'same' data data.astype np.uint8 It does not produce..