Stack/Stack_365ff98a69a1841a/code_edit.py

import matplotlib.pyplot as plt
import matplotlib.patheffects as path_effects
from random import choice

# List of industries
industries = ['Education', 'Healthcare', 'Technology', 'Manufacturing', 'Retail']

# Corresponding unemployment rate values
unemployment_rate = [6.5, 5.8, 4.2, 7.3, 8.1]

# Corresponding income inequality index values
income_inequality_index = [0.15, 0.25, 0.45, 0.35, 0.6]

# Creating stack plot
plt.figure(figsize=(10,7))
plt.stackplot(industries, unemployment_rate, income_inequality_index, labels=['Unemployment Rate', 'Income Inequality Index'], colors=['blue', 'orange'])

for i, area in enumerate(plt.gca().collections):
    if i == 1:  # Income Inequality Index's stack
        area.set_visible(False)
        area.set_zorder(9)
        
# Adding legend
plt.legend(loc='upper left')

# Setting labels for the axes
plt.xlabel('Industries')
plt.ylabel('Percentage/Index')

# Setting title for the plot
plt.title('Stack Plot of Unemployment Rate and Income Inequality Index Across Different Industries')

# Display the plot
plt.tight_layout()
plt.savefig("Edit_figure.png")