I have a .m file. But I don’t have any MATLAB installation in my pc. Is it possible to run this .m file in python/pycharm. I don’t want to use online converter. Is there a python package that I can run this .m file directly. Source: Python..
I’m trying to save .txt file of a list of arrays as follow : list_array = [array([-20.10400009, -9.94099998, -27.10300064]), array([-20.42099953, -9.91499996, -27.07099915]), … This is the line I invoked. np.savetxt(‘path/file.txt’, list_array, fmt=’%s’) This is what I get [-20.10400009 -9.94099998 -27.10300064] [-20.42099953 -9.91499996 -27.07099915] … This is what I want -20.10400009 -9.94099998 -27.10300064 -20.42099953 -9.91499996 -27.07099915 ..
Currently I am working on a project with Jupyter Notebook in which I need to run a matlab script (.m) which includes a function that provides me with data which i try to solve with a tensorflow model afterwards. I can set up an environment that runs the matlab code an gives me the data ..
I am trying to implement a numerical method, which requires me to compute the inverse of a 6×6 matrix (A) at some point. This matrix consists of four 3×3 matrices (B1…4) A = [[B1, B2], [B3, B4]]. While the magnitude of the entries within a 3×3 matrix is roughly the same, the magnitude across the ..
I’m trying to translate a program from matlab to python and I don’t get one piece to work. In this line of the code I’m trying to multiply 2 complex arrays: Matlab: Croco2=refAntDiag_norm’*testAntDiag_norm; Python: Croco2 = np.matmul(refAntDiag_norm.transpose(), testAntDiag_norm)) But the Outputs are different. Does anybody have an idea on how to fix this? Source: Python ..
I’m currently trying to implement a python script for solving a constrained nonlinear optimization problem with ~800 variables and 2 constraints, one linear and one nonlinear. There already exists a Matlab implementation of this script and I’m trying to use cyipopt to implement an equivalent Python implementation that produces similar results. The Matlab code has ..
I want to create a special case of a room-impulse-response. I am following this implemetation for a room-impulse-response generator. I am also following this tutorial for integrating c++c with python. According to the tutorial: You want to speed up a particular section of your Python code by converting a critical section to C. Not only ..
Title asks it all. I am a Matlab aficionado seeking to convert to Python, but failing at just trying to see the headers of this .npy file. Source: Python..
I am trying to the equivalent of MATLAB’s filter function in Swift code. MATLAB’s filter function is defined as follows: filter(b,a,x) y = filter(b,a,x) filters the input data x using a rational transfer function defined by the numerator and denominator coefficients b and a. – If a(1) is not equal to 1, then filter normalizes ..
I would like to know how to display the STFTX matrix from matlab to python (plotting) function y=STFT(x,fe,fmax) M=length(x); if mod(M,2)~=0 tw = fliplr([1:floor(M/2) -floor(M/2):0])/M; else tw = fliplr([1:floor(M/2) -floor(M/2)+1:0])/M; end Fx=fft(x); XF = [Fx Fx]; sig=0.005; wind = (1/sqrt(2*pi*sig^2))*exp(-0.5*tw.^2/(2*sig^2)); W = fft(wind); Pas=(fmax*M/fe); for f=1:Pas STFTX(f+1,:)=ifft(XF(f+1:f+M).*W); %Matrix to stock STFT’s results end subplot(2,1,1);plot(x); subplot(2,1,2);imagesc(abs(STFTX)); ..