How to convert the MATLAB code into the Python?
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Milind dilipkumar Patel
am 26 Okt. 2018
Kommentiert: Walter Roberson
am 8 Mär. 2025 um 3:19
Hello, I have a matlab code for the quantitative differential phase contrast imaging and the code is very big and complicated as well. But the problem is the institute where I am working does not allow to use matlab and they have python and LabVIEW, so I would like to convert the matlab code to python or someone knows how to run the matlab code in python then it also be very helpful.
I have attached the main code.
Thank you.
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Akzeptierte Antwort
MathWorks Support Team
am 14 Nov. 2024
MATLAB provides two-way integration with many programming languages, including Python. The MATLAB Engine API for Python allows you to call MATLAB functions from Python. Similarly, if you have functions and objects in Python, you can call them directly from MATLAB using the Python Interface. Finally, you can build Python packages from MATLAB programs by using MATLAB Compiler SDK™. These packages can be integrated with Python applications and can be shared with desktop users or deployed to web and enterprise systems. To learn more about using MATLAB with Python go here.
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Weitere Antworten (4)
madhan ravi
am 26 Okt. 2018
Bearbeitet: madhan ravi
am 26 Okt. 2018
You can use numpy framework which contains matlab libraries.
1 Kommentar
MathWorks Support Team
am 25 Okt. 2022
MATLAB provides two-way integration with many programming languages, including Python. The MATLAB Engine API for Python allows you to call MATLAB functions from Python. Similarly, if you have functions and objects in Python, you can call them directly from MATLAB using the Python Interface. Finally, you can build Python packages from MATLAB programs by using MATLAB Compiler SDK™. These packages can be integrated with Python applications and can be shared with desktop users or deployed to web and enterprise systems. To learn more about using MATLAB with Python go here.
4 Kommentare
Walter Roberson
am 17 Sep. 2023
The original poster of the question used the term "problem", rather than a phrasing such as "great thing", so it was not a "feature" to the original poster.
Daniel
am 17 Sep. 2023
@Walter Roberson - ChatGPT may be useful to help you understand sarcasm as well :)
Gurubasava Bhure
am 24 Jul. 2021
Bearbeitet: Walter Roberson
am 26 Okt. 2022
clc()
clear(mstring('all'))
close(mstring('all'))
# Generating the bit pattern with each bit 20 samples long
b = round(rand(1, 30))
pattern = mcat([])
for k in mslice[1:30]:
if b(1, k) == 0:
sig = -ones(1, 20)
else:
sig = ones(1, 20)
end
pattern = mcat([pattern, sig])
end
subplot(4, 1, 1)
plot(pattern)
axis(mcat([-1, 600 - 1.5, 1.5]))
title(mstring('Original Bit Sequence'))
# Generating the pseudo random bit pattern for spreading
d = round(rand(1, 120))
pn_seq = mcat([])
carrier = mcat([])
t = mcat([mslice[0:2 * pi / 4:2 * pi]])# Creating 5 samples for one cosine
for k in mslice[1:120]:
if d(1, k) == 0:
sig = -ones(1, 5)
else:
sig = ones(1, 5)
end
c = cos(t)
carrier = mcat([carrier, c])
pn_seq = mcat([pn_seq, sig])
end
# Spreading of sequence
spreaded_sig = pattern *elmul* pn_seq
subplot(4, 1, 2)
plot(spreaded_sig)
axis(mcat([-1, 600 - 1.5, 1.5]))
title(mstring('Spreaded signal'))
# BPSK Modulation of the spreaded signal
bpsk_sig = spreaded_sig *elmul* carrier# Modulating the signal
subplot(4, 1, 3)
plot(bpsk_sig)
axis(mcat([-1, 600 - 1.5, 1.5]))
title(mstring('BPSK Modulated Signal'))
#Plotting the FFT of DSSS signal
y = abs(fft(xcorr(bpsk_sig)))
subplot(4, 1, 4)
plot(y / max(y))
xlabel(mstring('Frequency'))
ylabel(mstring('PSD'))
#Demodulation and Despreading of Received Signal
figure()
rxsig = bpsk_sig *elmul* carrier
demod_sig = mcat([])
for i in mslice[1:600]:
if rxsig(i) >= 0:
rxs = 1
else:
rxs = -1
end
demod_sig = mcat([demod_sig, rxs])
end
subplot(3, 1, 1)
plot(demod_sig)
axis(mcat([-1, 600 - 1.5, 1.5]))
title(mstring('Demodulated Signal'))
despread_sig = demod_sig *elmul* pn_seq
subplot(3, 1, 2)
plot(despread_sig)
axis(mcat([-1, 600 - 1.5, 1.5]))
title(mstring('Despreaded data'))
#Power Spectrum of Despreaded data
z = 0.5 + 0.5 * despread_sig
y = abs(fft(xcorr(z)))
subplot(3, 1, 3)
plot(y / max(y))
axis(mcat([0, 500, 0, 1.5]))
xlabel(mstring('Frequency'))
ylabel(mstring('PSD'))
17 Kommentare
Jim
am 7 Mär. 2025 um 22:41
Has anyone tried the code? Subplot is used, implying a matplotlib import, but no declaration is evident.
The option to open in online matlab is misleading, especially when the code, in that app, is credited with multiple errors.
No '#!/bin/python' header.
But... I get the idea.
Walter Roberson
am 8 Mär. 2025 um 3:19
The use of mstring (mutable strings) in contests where fixed strings make more sense, suggests to me that some facility such as chatGPT was used to convert the code.
Arash Rabbani
am 26 Mai 2022
You may want to check these tutorials on how to convert a code from MATLAB to python.
1 Kommentar
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