Python on Windows for beginners

import matplotlib.pyplot as plt

import pandas as pd

import numpy as np

# Read the csv file

data_5 = pd.read_csv('Stress_strain_20205.csv')

data_10 = pd.read_csv('Stress_strain_202010.csv')

data_20 = pd.read_csv('Stress_strain_202020.csv')

data_40 = pd.read_csv('Stress_Strain_404020.csv')

# X is the Strain and Y is the Stress Values

strain_5 = data_5.iloc[:, 0].values

stress_5 = data_5.iloc[:, 1].values

strain_10 = data_10.iloc[:, 0].values

stress_10 = data_10.iloc[:, 1].values

strain_20 = data_20.iloc[:, 0].values

stress_20 = data_20.iloc[:, 1].values

strain_40 = data_40.iloc[:, 0].values

stress_40 = data_40.iloc[:, 1].values

# Plot Stress-Strain Curve

plt.plot(strain_5, stress_5, color='red', label="Stress-Strain -[20 20 5]")

plt.plot(strain_10,stress_10,color = 'blue', label = 'Stress-Strain - [20 20 10]')

plt.plot(strain_20, stress_20, color='darkolivegreen', label="Stress-Strain-[20 20 20]")

plt.plot(strain_40, stress_40, color='mediumvioletred', label="Stress-Strain-[40 40 20]")

plt.title("Stress-Strain Curve")

plt.xlabel("Strain")

plt.ylabel("Stress(GPa)")

# # # Find the maximum stress value (Yield Strength)

# yield_strength = max(stress_5)

# yield_index = np.argmax(stress_5)  # Find the index of the maximum stress value

# yield_strain = strain_5[yield_index]  # Find corresponding strain for the max stress

# yield_strength_10 = max(stress_10)

# yield_index_10= np.argmax(stress_10)  # Find the index of the maximum stress value

# yield_strain_10 = strain_10[yield_index_10]  # Find corresponding strain for the max stress

# print(f"Yield Strength of [20 20 5]: {yield_strength} GPa at strain: {yield_strain}")

# print(f"Yield Strength of [20 20 10]: {yield_strength_10} GPa at strain: {yield_strain_10}")

#  # Plot the Yield Strength point

# plt.scatter(yield_strain, yield_strength, color='red', zorder=5, label=f"Yield Strength = {yield_strength:.2f} GPa")

# Show the legend

plt.legend()

# Display the plot

plt.show()