Histogram
Traffic Source Mirror
Organic vs paid traffic.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {'organic': '#10B981', 'paid': '#EF4444', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}
pages = ['Home', 'Products', 'Blog', 'Pricing', 'Contact']
organic = [60, 45, 80, 30, 25]
paid = [40, 55, 20, 70, 75]
fig, ax = plt.subplots(figsize=(10, 5), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])
y = np.arange(len(pages))
ax.barh(y, [-o for o in organic], height=0.6, color=COLORS['organic'], label='Organic')
ax.barh(y, paid, height=0.6, color=COLORS['paid'], label='Paid')
ax.axvline(0, color=COLORS['text'], linewidth=1)
ax.set_yticks(y)
ax.set_yticklabels(pages)
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('Traffic (%)', 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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