Histogram

Time-Series Histogram

Distribution of timestamps.

Output
Time-Series Histogram
Python
import matplotlib.pyplot as plt
import numpy as np

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

np.random.seed(42)
hours = np.concatenate([
    np.random.normal(9, 1.5, 300),
    np.random.normal(14, 2, 200),
    np.random.normal(20, 1.5, 150)
])
hours = np.clip(hours, 0, 24)

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

counts, bins, patches = ax.hist(hours, bins=24, color=COLORS['bars'], edgecolor='white', linewidth=0.5, alpha=0.85)

# Highlight peak
peak_idx = np.argmax(counts)
patches[peak_idx].set_facecolor(COLORS['peak'])

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([0, 6, 12, 18, 24])
ax.set_xticklabels(['12AM', '6AM', '12PM', '6PM', '12AM'])
ax.set_xlabel('Time of Day', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Events', fontsize=10, color=COLORS['text'], labelpad=10)

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Basic Charts

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