Histogram
Page Load Time
Website performance metrics.
Output
Python
import matplotlib.pyplot as plt
import numpy as np
COLORS = {'fast': '#10B981', 'medium': '#F59E0B', 'slow': '#EF4444', 'threshold': '#1E293B', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}
np.random.seed(42)
load_time = np.random.exponential(1.5, 1000)
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(load_time, bins=35, edgecolor='white', linewidth=0.5)
for i, patch in enumerate(patches):
bin_center = (bins[i] + bins[i+1]) / 2
if bin_center <= 2:
patch.set_facecolor(COLORS['fast'])
elif bin_center <= 4:
patch.set_facecolor(COLORS['medium'])
else:
patch.set_facecolor(COLORS['slow'])
patch.set_alpha(0.85)
ax.axvline(3, color=COLORS['threshold'], linewidth=2, linestyle='--', label='Target: 3s')
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('Load Time (s)', fontsize=10, color=COLORS['text'], labelpad=10)
ax.set_ylabel('Page Views', 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
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