Beeswarm Plot

API Response Latency by Endpoint

Server response times across different API endpoints

Output
API Response Latency by Endpoint
Python
import numpy as np
import matplotlib.pyplot as plt

np.random.seed(303)
BG_COLOR = '#0a0a0f'
TEXT_COLOR = 'white'
COLORS = ['#27D3F5', '#F5B027', '#6CF527', '#F5276C']

def simple_beeswarm(y, nbins=None, width=1.):
    y = np.asarray(y)
    if nbins is None:
        nbins = np.ceil(len(y) / 6).astype(int)
    nn, ybins = np.histogram(y, bins=nbins)
    nmax = nn.max()
    x = np.zeros(len(y))
    ibs = []
    for ymin, ymax in zip(ybins[:-1], ybins[1:]):
        i = np.nonzero((y > ymin) * (y <= ymax))[0]
        ibs.append(i)
    dx = width / (nmax // 2) if nmax > 1 else width
    for i in ibs:
        yy = y[i]
        if len(i) > 1:
            j = len(i) % 2
            i = i[np.argsort(yy)]
            a = i[j::2]
            b = i[j+1::2]
            x[a] = (0.5 + j / 3 + np.arange(len(b))) * dx
            x[b] = (0.5 + j / 3 + np.arange(len(b))) * -dx
    return x

endpoints = ['/auth', '/users', '/products', '/orders']
data = {
    '/auth': np.random.gamma(2, 20, 45),
    '/users': np.random.gamma(2.5, 25, 50),
    '/products': np.random.gamma(3, 30, 55),
    '/orders': np.random.gamma(4, 35, 48)
}

fig, ax = plt.subplots(figsize=(10, 6), facecolor=BG_COLOR)
ax.set_facecolor(BG_COLOR)

boxplot_data = []
for i, (endpoint, values) in enumerate(data.items()):
    x = simple_beeswarm(values, width=0.3)
    ax.scatter(x + i + 1, values, c=COLORS[i], alpha=0.7, s=45, edgecolors='white', linewidth=0.5)
    boxplot_data.append(values)

bp = ax.boxplot(boxplot_data, positions=range(1, len(endpoints)+1), widths=0.5, patch_artist=True)
for patch in bp['boxes']:
    patch.set_facecolor('none')
    patch.set_edgecolor('#666')
for element in ['whiskers', 'caps', 'medians']:
    for item in bp[element]:
        item.set_color('#666')

ax.axhline(100, color='#ef4444', linestyle='--', alpha=0.5, linewidth=1)
ax.text(4.6, 105, 'SLA', color='#ef4444', fontsize=9)

ax.set_xticks(range(1, len(endpoints)+1))
ax.set_xticklabels(endpoints, color=TEXT_COLOR, fontfamily='monospace')
ax.set_xlabel('API Endpoint', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_ylabel('Latency (ms)', fontsize=12, color=TEXT_COLOR, fontweight='500')
ax.set_title('API Response Latency Distribution', fontsize=14, color=TEXT_COLOR, fontweight='bold', pad=15)

ax.tick_params(colors='#888', labelsize=10)
for spine in ax.spines.values():
    spine.set_color('#333')

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Statistical

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