python Programming Glossary: np.abs

How to generate audio from a numpy array?

http://stackoverflow.com/questions/10357992/how-to-generate-audio-from-a-numpy-array

random samples between 1 and 1 scaled np.int16 data np.max np.abs data 32767 write 'test.wav' 44100 scaled If you want Python..

These spectrum bands used to be judged by eye, how to do it programmatically?

http://stackoverflow.com/questions/10764569/these-spectrum-bands-used-to-be-judged-by-eye-how-to-do-it-programmatically

in ts to this starting point is... start_index np.argmin np.abs ts start_point # Find the local maxima in our data by looking.. to our starting point index_of_peak maxes np.argmin np.abs maxes start_index print Peak centre at .3f ts index_of_peak.. technique as above hm_left_indices np.diff np.sign np.diff np.abs xs index_of_peak half_max 0 .nonzero 0 1 # Add index_of_peak..

Python/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

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 v np.mgrid..

RAM full in numpy sagemath

http://stackoverflow.com/questions/18317974/ram-full-in-numpy-sagemath

S_nuevo tipos_nuevo 1. componente_longitudinal Longitud np.abs np.cos array_angle comp_y np.append comp_y sum componente_longitudinal.. componente_longitudinal N componente_transversal Longitud np.abs np.sin array_angle comp_x np.append comp_x sum componente_transversal..

find nearest value in numpy array

http://stackoverflow.com/questions/2566412/find-nearest-value-in-numpy-array

import numpy as np def find_nearest array value idx np.abs array value .argmin return array idx array np.random.random..

Inverse Distance Weighted (IDW) Interpolation with Python

http://stackoverflow.com/questions/3104781/inverse-distance-weighted-idw-interpolation-with-python

invdisttree.wn # see Wikipedia Zipf's law err np.abs terrain ask interpol print average terrain interpolated .2g..

how to extract frequency associated with fft values in python

http://stackoverflow.com/questions/3694918/how-to-extract-frequency-associated-with-fft-values-in-python

0.499975 # Find the peak in the coefficients idx np.argmax np.abs w 2 freq freqs idx freq_in_hertz abs freq frate print freq_in_hertz..

View onto a numpy array?

http://stackoverflow.com/questions/4370745/view-onto-a-numpy-array

functions take an out parameter so you can do things like np.abs x x to take the absolute value of x in place. As a second edit..

Recreating time series data using FFT results without using ifft

http://stackoverflow.com/questions/4451591/recreating-time-series-data-using-fft-results-without-using-ifft

the full range of frequency coefficients. When I plotted np.abs Y it looked like there were significant values in the upper..

Is it possible to specify your own distance function using Scikits.Learn K-Means Clustering?

http://stackoverflow.com/questions/5529625/is-it-possible-to-specify-your-own-distance-function-using-scikits-learn-k-means

metric may increase weight of near matches see ... return np.abs x y q .mean if y is not None else np.abs x q .mean #................................................................................. see ... return np.abs x y q .mean if y is not None else np.abs x q .mean #.................................................................................

Python/Numpy - Quickly Find the Index in an Array Closest to Some Value

http://stackoverflow.com/questions/6065697/python-numpy-quickly-find-the-index-in-an-array-closest-to-some-value

the smaller number ind ind 1 return ind def f2 t x return np.abs t x .argmin print t ' n' x ' n' print f1 t x ' n' f2 t x ' n'..

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

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 course... 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 Other..