Histogram

Customer Ratings

Product review scores.

Output
Customer Ratings
Python
import matplotlib.pyplot as plt
import numpy as np

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

np.random.seed(42)
ratings = np.clip(np.random.normal(4.2, 0.8, 500), 1, 5)

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

bins = [1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5]
ax.hist(ratings, bins=bins, color=COLORS['bars'], edgecolor='white', linewidth=0.5, alpha=0.85, rwidth=0.85)
ax.axvline(np.mean(ratings), color=COLORS['avg'], linewidth=2.5, linestyle='--', label=f'Avg: {np.mean(ratings):.1f}★')

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_xticks([1, 2, 3, 4, 5])
ax.set_xlabel('Rating', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Reviews', fontsize=10, color=COLORS['text'], labelpad=10)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), frameon=False, fontsize=10, labelcolor=COLORS['text_muted'])

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Basic Charts

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