Income Comparison

import matplotlib.pyplot as plt
import numpy as np

COLORS = {'region_a': '#374151', 'region_b': '#F59E0B', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}

income_bands = ['<25K', '25-50K', '50-75K', '75-100K', '100-150K', '>150K']
region_a = [15, 25, 30, 20, 8, 2]
region_b = [10, 20, 25, 25, 15, 5]

fig, ax = plt.subplots(figsize=(10, 5), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])

y = np.arange(len(income_bands))
ax.barh(y, [-a for a in region_a], height=0.6, color=COLORS['region_a'], label='Region A')
ax.barh(y, region_b, height=0.6, color=COLORS['region_b'], label='Region B')

ax.axvline(0, color=COLORS['text'], linewidth=1)
ax.set_yticks(y)
ax.set_yticklabels(income_bands)

ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_color(COLORS['grid'])
ax.tick_params(axis='both', colors=COLORS['text_muted'], labelsize=9, length=0, pad=8)
ax.set_xlabel('Percentage (%)', fontsize=10, color=COLORS['text'], labelpad=10)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, frameon=False, fontsize=9, labelcolor=COLORS['text_muted'])

plt.tight_layout()
plt.show()