Category "scipy"

How to adapt emcee to work with odeint numerical solution

I'm trying to constrain the function with the use of MCMC methods (emcee) without the analytical form of this function. I'm using the odeint to obtain the funct

Complex interpolation for Isotopic data

I have another question, is there a package that interpolates precipitation data taking into account mountains and oceans? I have so far used Numpy and Basemap

scipy.fftpack.fft with multiprocessing, how to avoid performance losses?

I would like to use scipy.fftpack.fft (and rfft) inside a multiprocessing structure, I have observed significant performances losses due to an apparent incompat

Difference between cosine similarity and cosine distance

It looks like scipy.spatial.distance.cdist cosine similariy distance: link to cos distance 1 1 - u*v/(||u||||v||) is different from sklearn.metrics.pairwis

Trouble computing integral with scipy quad

I'm trying to compute the following definite integral: Integral I want to compute: where rho_ch is and a = 3.66 * 10^(-15) m (in meters) b = 0.54 * 10^(-15) m

Scipy minimize returns a higher value than minimum

As a part of multi-start optimization, I am running differential evolution (DE), the output of which I feed as initial values to scipy minimization with SLSQP (

How can I reduce the artifacts generated during "Thin Plate Spline" interpolation in Python?

At the Top "right", there is the 2D-density plot of the recorded data (actual), fewer in number. On the top-left is the interpolated data (thin-plate), i.e. la

Generating constraints for optimization in scipy using loop

There are lots of constraints which I will use in optimization using scipy; so I need to generate the constraints by loop. Below there's a sample of my constrai

Installing scipy and scikit-learn on apple m1

The installation on the m1 chip for the following packages: Numpy 1.21.1, pandas 1.3.0, torch 1.9.0 and a few other ones works fine for me. They also seem to wo

Why does find_objects give a bunch of Nones and then range of the whole image?

I am trying to find all objects detected in difference of frames, I thougt this would give a list of each area detected in the threshold, but find_objects is gi

Labelling connected components of an image with scipy

Hello I am following this example for labelling connected components of an image. I understand how to measure and label the blobs seen in this link. However how

No strict inequalities in cvxpy problem but still get the error "Strict inequalities are not allowed"

I was using the CVXPY library in Python, trying to solve a particular optimization problem. import cvxpy as cp import numpy as np from scipy.stats import norm

Interpolation function for compass bearings in python

Essentially, I have a CSV file full of compass bearings in radians from 0 to 2pi and attached timestamps that looks something like this: time, bearing 0.36,0.01

NumPy Interpolate Between Two 2-D Arrays At Various Timesteps

I have a pair of two-dimensional arrays from a gridded dataset (in GeoTIFF format), both with the exact same resolution and number of rows/columns. Suppose Arra

Efficiently get shadow prices in scipy linprog

I have a huge linprog problem of almost 1k variables and restrictions. I can calculate the solution with scipy.optimize.linprog(method='simplex') but I need sha

peak_widths w.r.t to x axis

I am using scipy.signal to calculate the width of the different peaks. I have 100 values wrt to different time points. I am using following code to calculate th

NumPy adds a dot after each element of an array which I can’t strip

I am trying to write code which generates a sound file based on a series of frequencies I give it, but I have reached a point where compiling the arrays of inte

Imitate ode45 function from MATLAB in Python

I am wondering how to export MATLAB function ode45 to python. According to the documentation is should be as follows: MATLAB: [t,y]=ode45(@vdp1,[0 20],[2 0])

Generate underlying distribution from bins in python

I found a PDF document describing the income distribution in the US in 1978. Per income range I have the percentage of the population that falls in that income

How to get intercept slope and fit line by using scipy ODR

I am new to python. I want to perform orthogonal distance regression by using Scipy ODR by using the code below. I do not know how can I extract slope and inter