From Python to MATLAB

I have the next code in Pyhton, could anybody help me to tranform this code into MATLBA language in order to continuing using it PLEASE?

import np_plots as npp
import matplotlib.pyplot as plt
import numpy as np
import math as m
import scipy
from scipy.integrate import odeint

def plotLimitCycle(bval):
    rhs = lambda X, t: [-X[0]+X[1]*X[0]**2, bval - X[1]*X[0]**2]
    xeq, yeq = bval, 1.0/bval
    cyclerad = m.sqrt(1-bval)
    nbh = min(cyclerad, 0.05)
    IC = [xeq-nbh/5.0, yeq-nbh/5.0]
    time_span = np.linspace(0,400,40000)
    fig = plt.figure()
    solution = odeint(rhs, IC, time_span)
    X, Y = zip(*solution)
    plt.plot(X, Y)
    axes = plt.gca()
    axXmin, axXmax = axes.get_xlim()
    axYmin, axYmax = axes.get_ylim()
    xmin = max(-15, axXmin)
    xmax = min(15, axXmax)
    ymin = max(-15, axYmin)
    ymax = min(15, axYmax)
    X,Y,U,V = npp.ezDomainQuiver2D([[xmin, xmax],[ymin, ymax]],[25,25],lambda X: rhs(X, 0),Normalize=True)
    plt.quiver(X,Y,U,V)
    plt.scatter([xeq],[yeq], color='red')
    plt.xlim([xmin, xmax])
    plt.ylim([ymin, ymax])
    plt.axes().set_aspect('equal', 'datalim')
    plt.show()

[Cedric]

Try to implement it step by step. Split it into simple blocks, and see how to perform similar tasks in MATLAB. There are plenty of examples online that will show you how to perform what is done in this function (I don't have this np_plots lib that you are using though). Here is one.

Answer 1

[the cyclist]

Maybe you could call Python from MATLAB?

[Aldo Leal Garcia]

How can I do that? I'm a newbie in MATLAB

[the cyclist]

My answer has a link to the Mathworks documentation page, with guidance on how to do it.