¡@
python Programming Glossary: np.onesUsing multiprocessing.Manager.list instead of a real list makes the calculation take ages http://stackoverflow.com/questions/13121790/using-multiprocessing-manager-list-instead-of-a-real-list-makes-the-calculation 'Initial free m '.format m free_memory N 15000 data np.ones N N logger.warn 'After allocating data m '.format m free_memory..
How to set up and solve simultaneous equations in python http://stackoverflow.com/questions/14367331/how-to-set-up-and-solve-simultaneous-equations-in-python m_to_M m_to_N # const vector right side of eq. const n np.ones 2 n 1 1 return linalg.solve coeff_mat const Solution using scipy.sparse.. import numpy as np def solve n nrange np.arange n diag np.ones n 1 # upper left block n_to_M spdiags 2. diag 0 n 1 n 1 # lower.. m_to_M m_to_N # const vector right side of eq. const n np.ones 2 n 1 1 return spsolve coeff_mat.tocsr const .reshape 1 1 Example..
Fitting a 3D array of data to a 1D function with numpy or scipy http://stackoverflow.com/questions/15094619/fitting-a-3d-array-of-data-to-a-1d-function-with-numpy-or-scipy 0.8 tmp 1 1.2 0.8 np.random.random_sample sy sz 0.8 tmp 2 np.ones sy sz tmp 3 np.ones sy sz np.pi 4 param_ref np.empty 4 sy sz.. sy sz 0.8 tmp 2 np.ones sy sz tmp 3 np.ones sy sz np.pi 4 param_ref np.empty 4 sy sz sx # param_ref in this..
ode integration in python versus mathematica results http://stackoverflow.com/questions/16222302/ode-integration-in-python-versus-mathematica-results 2000 np.outer np.sin phi np.sin theta yl4 zm 2000 np.outer np.ones np.size phi np.cos theta ax.plot_surface xm ym zm color '#696969'.. ym 2000 np.outer np.sin phi np.sin theta zm 2000 np.outer np.ones np.size phi np.cos theta ax.plot_surface xm ym zm color '#696969'..
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 lp lb indPatch np.reshape range lp lb lp lb indPatch2Img np.ones sImg 0 sImg 1 lp lp lb 1 # default value should be last column.. sImg pInd weights 1. unpatchify patchify np.ones sImg pInd pInd return weights # @profile def patchify img pInd..
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 accumulator. For example consider the following In 1 x 255 np.ones 100 dtype np.uint8 In 2 x Out 2 array 255 255 255 255 255 255.. dtype we'll still get the result you'd expect In 5 y 255 np.ones 100 In 6 np.einsum 'i ' y Out 6 25500.0 share improve this..
Fastest way to list all primes below N in python http://stackoverflow.com/questions/2068372/fastest-way-to-list-all-primes-below-n-in-python Returns a array of primes p n assert n 2 sieve np.ones n 2 dtype np.bool for i in xrange 3 int n 0.5 1 2 if sieve i.. Input n 6 Returns a array of primes 2 p n sieve np.ones n 3 n 6 2 dtype np.bool sieve 0 False for i in xrange int n..
How to detect a Christmas Tree? http://stackoverflow.com/questions/20772893/how-to-detect-a-christmas-tree binimg interpolation 'nearest' cmap 'Greys' clustimg np.ones rgbimg.shape unique_labels set labels # Generate a unique color..
Simple wrapping of C code with cython http://stackoverflow.com/questions/3046305/simple-wrapping-of-c-code-with-cython N dtype np.float64 b np.arange N dtype np.float64 z np.ones N dtype np.float64 np.NaN fret f.fpy N a b z print fpy fc z..
http://stackoverflow.com/questions/3845407/running-matplotlib-in-tkinter u np.sin v y 10 np.outer np.sin u np.sin v z 10 np.outer np.ones np.size u np.cos v ax.plot_surface x y z rstride 4 cstride 4..
Numpy grouping using itertools.groupby performance http://stackoverflow.com/questions/4651683/numpy-grouping-using-itertools-groupby-performance 0 3298 size 35000000 dtype 'u4' values.sort dif np.ones values.shape values.dtype dif 1 np.diff values idx np.where..
Removing duplicate columns and rows from a NumPy 2D array http://stackoverflow.com/questions/8560440/removing-duplicate-columns-and-rows-from-a-numpy-2d-array a order np.lexsort a.T a a order diff np.diff a axis 0 ui np.ones len a 'bool' ui 1 diff 0 .any axis 1 return a ui share improve..
How to apply a disc shaped mask to a numpy array? http://stackoverflow.com/questions/8647024/how-to-apply-a-disc-shaped-mask-to-a-numpy-array shaped mask to a numpy array I have an array like this np.ones 8 8 array 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1...
How do i compute derivative using Numpy? http://stackoverflow.com/questions/9876290/how-do-i-compute-derivative-using-numpy
|