Histogram
Delivery Time
Order fulfillment duration.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {'bars': '#374151', 'sla': '#DC2626', 'good': '#10B981', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}
np.random.seed(42)
delivery = np.random.gamma(3, 1.5, 600)
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(delivery, bins=25, edgecolor='white', linewidth=0.5)
sla = 5
for i, patch in enumerate(patches):
bin_center = (bins[i] + bins[i+1]) / 2
patch.set_facecolor(COLORS['good'] if bin_center <= sla else COLORS['bars'])
patch.set_alpha(0.85)
ax.axvline(sla, color=COLORS['sla'], linewidth=2, linestyle='--', label=f'SLA: {sla} days')
pct = (delivery <= sla).sum() / len(delivery) * 100
ax.text(0.97, 0.95, f'{pct:.0f}% on time', transform=ax.transAxes, fontsize=10, fontweight='bold',
va='top', ha='right', color=COLORS['good'])
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('Days', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Orders', fontsize=10, color=COLORS['text'], labelpad=10)
ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.12), frameon=False, fontsize=9, labelcolor=COLORS['text_muted'])
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Basic Charts
More Histogram examples
☕