0

import matplotlib.pyplot as plt import numpy as np x=np.linspace(-5,5,100) plt.plot(x,np.sin(x)) plt.xlabel("axe des absesse")

He guys . Please where I can execute like this cods it's about graphs and the numpy library

6th Jun 2022, 12:04 PM
Ilham AZALAM
Ilham AZALAM - avatar
4 odpowiedzi
+ 1
In ms visual studio code. https://code.visualstudio.com/Download
6th Jun 2022, 12:10 PM
JaScript
JaScript - avatar
+ 1
Thanks
6th Jun 2022, 12:16 PM
Ilham AZALAM
Ilham AZALAM - avatar
+ 1
I think this can also run on sololearn. You can also try online platforms like: - kaggle - Google colab notebooks
6th Jun 2022, 5:29 PM
Sandeep
Sandeep - avatar
0
import numpy as np import matplotlib.pyplot as plt # Values for x1 (chairs) x1 = np.linspace(0, 100, 200) # Wood constraint: 5x1 + 10x2 <= 500 x2_wood = (500 - 5*x1) / 10 # Metal constraint: 2x1 + 5x2 <= 300 x2_metal = (300 - 2*x1) / 5 # Plot the constraints plt.figure(figsize=(8, 6)) plt.plot(x1, x2_wood, label="Wood constraint (5x1 + 10x2 ≤ 500)", color="blue") plt.plot(x1, x2_metal, label="Metal constraint (2x1 + 5x2 ≤ 300)", color="red") # Fill feasible region (the region where both constraints are satisfied) plt.fill_between(x1, np.minimum(x2_wood, x2_metal), color="grey", alpha=0.3) # Labels and title plt.xlim(0, 100) plt.ylim(0, 60) plt.xlabel("Chairs (x1)") plt.ylabel("Tables (x2)") plt.title("Feasible Region for Furniture Production") # Highlight the intersection of the two lines plt.legend() plt.grid(True) plt.show()
10th Nov 2024, 7:46 PM
Malika Qurbonova
Malika Qurbonova - avatar