Mirrored Histogram

import matplotlib.pyplot as plt
import numpy as np

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

np.random.seed(42)
male = np.random.normal(70, 10, 400)
female = np.random.normal(65, 9, 450)

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

bins = np.linspace(30, 100, 25)
ax.hist(male, bins=bins, color=COLORS['male'], edgecolor='white', linewidth=0.5, alpha=0.85, label='Male')
ax.hist(female, bins=bins, color=COLORS['female'], edgecolor='white', linewidth=0.5, alpha=0.85, 
        weights=-np.ones_like(female), label='Female')

ax.axhline(0, color=COLORS['text'], linewidth=1)

ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color(COLORS['grid'])
ax.spines['bottom'].set_visible(False)
ax.tick_params(axis='both', colors=COLORS['text_muted'], labelsize=9, length=0, pad=8)
ax.set_yticks([-40, -20, 0, 20, 40])
ax.set_yticklabels(['40', '20', '0', '20', '40'])
ax.set_xlabel('Value', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Count', 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()