Annotated Histogram

import matplotlib.pyplot as plt
import numpy as np

COLORS = {'bars': '#8B5CF6', 'stats': '#EF4444', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}

np.random.seed(42)
data = np.random.normal(100, 15, 500)

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

counts, bins, _ = ax.hist(data, bins=25, color=COLORS['bars'], edgecolor='white', linewidth=0.5, alpha=0.8)

mean, median, mode_bin = np.mean(data), np.median(data), bins[np.argmax(counts)]

# Stats box
stats_text = f'n = {len(data)}\nμ = {mean:.1f}\nσ = {np.std(data):.1f}\nMedian = {median:.1f}'
ax.text(0.97, 0.95, stats_text, transform=ax.transAxes, fontsize=10, verticalalignment='top',
        horizontalalignment='right', bbox=dict(boxstyle='round', facecolor='white', edgecolor=COLORS['grid'], alpha=0.9),
        color=COLORS['text'], family='monospace')

ax.axvline(mean, color=COLORS['stats'], linewidth=2, linestyle='--')

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('Frequency', fontsize=10, color=COLORS['text'], labelpad=10)

plt.tight_layout()
plt.show()