Normalized Comparison

import matplotlib.pyplot as plt
import numpy as np

COLORS = {'group1': '#374151', 'group2': '#DC2626', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}

np.random.seed(42)
group1 = np.random.normal(50, 10, 800)
group2 = np.random.normal(55, 15, 300)

fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])

bins = np.linspace(10, 100, 35)
ax.hist(group1, bins=bins, density=True, color=COLORS['group1'], edgecolor='white', linewidth=0.5, alpha=0.7, label=f'Group A (n={len(group1)})')
ax.hist(group2, bins=bins, density=True, color=COLORS['group2'], edgecolor='white', linewidth=0.5, alpha=0.7, label=f'Group B (n={len(group2)})')

ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color(COLORS['grid'])
ax.spines['bottom'].set_color(COLORS['grid'])
ax.yaxis.grid(True, color=COLORS['grid'], linewidth=1, zorder=0)
ax.set_axisbelow(True)
ax.tick_params(axis='both', colors=COLORS['text_muted'], labelsize=9, length=0, pad=8)
ax.set_xlabel('Value', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Density', fontsize=10, color=COLORS['text'], labelpad=10)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), ncol=2, frameon=False, fontsize=9, labelcolor=COLORS['text_muted'])

plt.tight_layout()
plt.show()