I have implemented a 3D gaussian fit using scipy.optimize.leastsq and now I would like to tweak the arguments ftol and xtol to optimize the performances. However, I don’t understand the "units" of these two parameters in order to make a proper choice. Is it possible to calculate these two parameters from the results? That would ..

#### Category : scipy

Is there a Scipy or Numpy function that does the job of dsearchn MATLAB command in python? dsearchn returns the index of nearest value to the input value in the given vector. Source: Python-3x..

I’m trying to solve a simple ODE with one variable: *x_dot = sqrt(x)sin(x) + x with the scipy.integrator.solve_ivp function, but dont really understand the answers. Here is my code: from scipy.integrate import solve_ivp import numpy as np import pandas as pd sqrt = np.sqrt sin = np.sin def dx_dt1(t,x): return (sqrt(x)*sin(x)) + x #### Solve ..

I am interested in computing the time evolution of a vector v (initial state) with a given matrix H. There are two ways I can do this: with the matrix exponential exp(-itH), where H is a matrix (Hamiltonian), t is the time for the evolution and i is the imaginary number –> with scipy.sparse.linalg.expm_multiply() OR ..

This is a natural extension of Reducing composite Rotation object. I have a scipy.spatial.transform.Rotation that consists of multiple rotations: from scipy.spatial.transform import Rotation rot = Rotation.from_matrix([[[-1, 0, 0], [ 0, 1, 0], [ 0, 0, -1]], [[ 0, 0, 1], [ 0, 1, 0], [-1, 0, 0]], [[ 1, 0, 0], [ 0, 0, 1], ..

I have a dataframe(df) like this: no2 time 2013-09-01 08:27:16 0.3298 2013-09-01 08:31:02 0.3184 2013-09-01 08:32:31 0.2038 2013-09-01 08:35:14 0.2639 2013-09-01 08:36:47 0.2530 … … 2013-09-30 19:17:19 0.6376 2013-09-30 19:20:11 0.6505 2013-09-30 19:23:11 0.6102 2013-09-30 19:27:33 0.5788 2013-09-30 19:41:58 0.5223 8240 rows × 1 columns After applying a function… import matplotlib.pyplot as plt from scipy.interpolate ..

Please could someone verify that the first parameter in a scipy.stats.chi2.fit for some data is actually the number of degrees of freedom df? Here is an example of what I’m checking x=np.random.rand(1000) y=stats.chi2.pdf(x,df=1) z=np.log10(y) # assume z is the distribution of a rv in logspace # is this line correct for the mles? df, loc, ..

I’m trying to minimize the following function: with respect to the parameters H and alpha using the brute force method, specifically the scipy.optimize.brute algorithm. The problem arises that I don’t know how to deal with this unknown number of variables, I mean, that is 2n variables and n is an input of the program. I ..

I have a pandas DataFrame containing two columns [‘A’, ‘B’]. Each column is made up of integers. I want to construct a sparse matrix with the following properties: row index is all integers from 0 to the max value in the dataframe column index is the same as row index entry i,j = 1 if ..

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 the peak, then width. The problem is it is not considering the time on x axis while calculating the width. peaks_control, _ = find_peaks(x_control, height=2100) time_control = ..

## Recent Comments