Histogram
Device Usage Mirror
Mobile vs desktop distribution.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {'mobile': '#F59E0B', 'desktop': '#6366F1', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}
hours = ['6AM', '9AM', '12PM', '3PM', '6PM', '9PM']
mobile = [30, 45, 60, 55, 70, 80]
desktop = [70, 85, 75, 65, 40, 25]
fig, ax = plt.subplots(figsize=(10, 5), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])
y = np.arange(len(hours))
ax.barh(y, [-m for m in mobile], height=0.6, color=COLORS['mobile'], label='Mobile')
ax.barh(y, desktop, height=0.6, color=COLORS['desktop'], label='Desktop')
ax.axvline(0, color=COLORS['text'], linewidth=1)
ax.set_yticks(y)
ax.set_yticklabels(hours)
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_visible(False)
ax.spines['bottom'].set_color(COLORS['grid'])
ax.tick_params(axis='both', colors=COLORS['text_muted'], labelsize=9, length=0, pad=8)
ax.set_xlabel('Sessions (%)', fontsize=10, color=COLORS['text'], labelpad=10)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.15), ncol=2, frameon=False, fontsize=9, labelcolor=COLORS['text_muted'])
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Basic Charts
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