How to convert Python code into matlab

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Vombarelli Neha
Vombarelli Neha am 24 Aug. 2018
Kommentiert: Evens MONTILUS am 21 Okt. 2023
I have a Python code.how can I convert it into matlab code or is there any option of executing the same using matlab
  5 Kommentare
wafa derouaz
wafa derouaz am 21 Nov. 2021
Vombarelli Neha Please, didi you find the solution to this problem?
Evens MONTILUS
Evens MONTILUS am 21 Okt. 2023
import numpy as np
impot matplotlib.pyplot as plt
line=np.linspace(-5,5,1000)
#plt.plot(line,np.tanh(line), label=''tanh'')
#plt.plot(line,np.maximum(line,0), label=''sigmoid'')
plt.plot(line,1/(1+np.exp(-line)),label=''sigmoid'')
plt.legend(loc=''best'')
plt.xlabel(''z'')
#plt.ylabel(''Relu(x),tanh(x), sigmoid(x)'')
plt.ylabel(''sigmoid(z)'')

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Antworten (4)

Rik
Rik am 24 Aug. 2018
See this, or with system('python python_script.py');
This was the top result for my Google search: link
  5 Kommentare
Rik
Rik am 6 Aug. 2020
Read on: "I have a Python code.how can I convert it into matlab code or is there any option of executing the same using matlab".
Anyway, a strict convert is theoretically possible (since both languages are Turing-complete), although this conversion is probably either not automatic, or not effecicient. You should either re-write it completely in Matlab, or run it as Python code. Unless you find/write a good Python2Matlab function, I know there are surprisingly good converters sometimes.
Evens MONTILUS
Evens MONTILUS am 21 Okt. 2023
import numpy as np
impot matplotlib.pyplot as plt
line=np.linspace(-5,5,1000)
#plt.plot(line,np.tanh(line), label=''tanh'')
#plt.plot(line,np.maximum(line,0), label=''sigmoid'')
plt.plot(line,1/(1+np.exp(-line)),label=''sigmoid'')
plt.legend(loc=''best'')
plt.xlabel(''z'')
#plt.ylabel(''Relu(x),tanh(x), sigmoid(x)'')
plt.ylabel(''sigmoid(z)'')

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Gautam Takoo
Gautam Takoo am 21 Jan. 2022
Bearbeitet: Gautam Takoo am 21 Jan. 2022
I have a Python code.how can I convert it into matlab code or is there any option of executing the same using matlab
import cv2
from PIL import Image
import numpy as np
from glob import glob
import os
def main():
# path of the folder containing the raw images
inPath =("Z://Randomimages")
# path of the folder that will contain the modified image
outPath =("Z:/normaltogray")
for files in os.walk(inPath):
for imagePath in os.listdir(inPath):
if not imagePath.endswith(".jpg"):
print("{} file is not an expected file".format(imagePath))
continue
inputPath = os.path.join(inPath, imagePath)
img = np.array(Image.open(inputPath))
if imagePath.startswith('T1_E1'):
roi = img[1360:1470,850:2700]
elif imagePath.startswith('T1_E2'):
roi= img[1370:1450,920:2770]
gray=cv2.cvtColor(roi,cv2.COLOR_BGR2GRAY)
fullOutPath = os.path.join(outPath,imagePath)
cv2.imwrite(fullOutPath,gray)
print(fullOutPath)
cv2.waitKey(0)
cv2.destroyAllWindows()
# Driver Function
if __name__ == '__main__':
main()
#
  2 Kommentare
Rik
Rik am 21 Jan. 2022
If you didn't bother reading my answer, why should I bother responding to your question?

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Yalew Mekonnen
Yalew Mekonnen am 24 Jan. 2022
This may help you. There are a number of ducoments and videos related to using MATLAB with Python.

ASHOK KUMAR MEENA
ASHOK KUMAR MEENA am 18 Apr. 2022
def Lagrange(x, y, n, xx):
sum = 0
for i in range(0, n + 1):
product = y[i]
for j in range(0, n + 1):
if (i != j):
product = product * (xx - x[j]) / (x[i] - x[j])
sum += product
return sum
def Trapezoidal(h, n, f):
sum = f[0]
for i in range (1, n):
sum = sum + 2 * f[i]
sum = sum + f[n]
ans = h * sum / 2
return ans

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