Convert Python Code to MATLAB Code?

How can I convert Python code to MATLAB code? I want to convert the approximate entropy Python implementation on wikipedia to MATLAB:

Approximate Entropy:

import numpy as np

def ApEn(U, m, r):

    def _maxdist(x_i, x_j):
        return max([abs(ua - va) for ua, va in zip(x_i, x_j)])

    def _phi(m):
        x = [[U[j] for j in range(i, i + m - 1 + 1)] for i in range(N - m + 1)]
        C = [len([1 for x_j in x if _maxdist(x_i, x_j) <= r]) / (N - m + 1.0) for x_i in x]
        return (N - m + 1.0)**(-1) * sum(np.log(C))

    N = len(U)

    return abs(_phi(m+1) - _phi(m))

I would like to run the code without having to install Python, so I would like to convert the algorithm into MATLAB language. Thank you!

Wikipedia Article Link

[L]

Sample Entropy Wikipedia includes the MATLAB version of the code. However, when I run it on my dataset, I get NaN for my result.

Answer 1

[Aymane Amouri]

"

import numpy as np

from lmfit import Minimizer, Parameters, report_fit

# create data to be fitted

x = np.linspace (0, 15, 301)

data = (10. * np.sin (2 * x - 0.1) * np.exp (-x * x * 0.025) +

np.random.normal (size=len (x), scale=0.2))

# define objective function: returns the array to be minimized

def fcn2min(params, x, data):

""" model decaying sine wave, subtract data"""

amp = params['amp']

shift = params['shift']

omega = params['omega']

decay = params['decay']

model = amp * np.sin (x * omega + shift) * np.exp (-x * x * decay)

return model - data

# create a set of Parameters

params = Parameters ( )

params.add ('amp', value=1, min=0)

params.add ('decay', value=0.1)

params.add ('shift', value=0.0, min=-np.pi / 2., max=np.pi / 2)

params.add ('omega', value=3.0)

# do fit, here with leastsq model

minner = Minimizer (fcn2min, params, fcn_args=(x, data))

kws = {'options': {'maxiter': 10}}

result = minner.minimize ( )

# calculate final result

final = data + result.residual

# write error report

report_fit (result)

# try to plot results

try:

import pylab

pylab.plot (x, data, 'k+')

pylab.plot (x, final, 'r')

pylab.show ( )

except:

pass

pylab.plt.figure( )

"

j'ai besoin de transformer ce code python to matlab code

[dany katamba mpoyi]

https://www.mathworks.com/products/matlab/matlab-and-python.html