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Showing posts with the label Numpy

Fit A Curve For Data Made Up Of Two Distinct Regimes

I'm looking for a way to plot a curve through some experimental data. The data shows a small li… Read more Fit A Curve For Data Made Up Of Two Distinct Regimes

Expanding A Numpy Array Of Matrices With Zeros

What's the most efficient way to pad an array of matrices with zeros? example: # Lets construct… Read more Expanding A Numpy Array Of Matrices With Zeros

Numpy.any(axis=i) For Scipy.sparse

import numpy a = numpy.array([ [0, 1, 0, 0], [1, 0, 0, 0], [0, 0, 1, 0], [0, 0, 0, … Read more Numpy.any(axis=i) For Scipy.sparse

Finding The Interpolated Intersection Between Two Arrays In Python/numpy/scipy

I am looking for a simple approach to finding the interpolated intersection between two Numpy array… Read more Finding The Interpolated Intersection Between Two Arrays In Python/numpy/scipy

Pure Python Faster Than Numpy? Can I Make This Numpy Code Faster?

I need to compute the min, max, and mean from a specific list of faces/vertices. I tried to optimiz… Read more Pure Python Faster Than Numpy? Can I Make This Numpy Code Faster?

How To Include Measurement Errors In Numpy.polyfit

The documentation HERE for numpy.polyfit defines the optional input vector w as the 'weights to… Read more How To Include Measurement Errors In Numpy.polyfit

Create Multidimensional Zeros Python

I need to make a multidimensional array of zeros. For two (D=2) or three (D=3) dimensions, this is … Read more Create Multidimensional Zeros Python

A Neater Way To Set Values At Indexes With Numpy

I have a numpy array initially with zeros, like this: v = np.zeros((5, 5)) v array([[ 0., 0., 0.… Read more A Neater Way To Set Values At Indexes With Numpy