Network Latency by Protocol

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np

np.random.seed(333)

protocols = ['TCP', 'UDP', 'QUIC', 'WebSocket']
data = []
for proto in protocols:
    n = 42
    bandwidth = np.random.uniform(10, 1000, n)
    latency_base = {'TCP': 50, 'UDP': 20, 'QUIC': 30, 'WebSocket': 45}
    latency = latency_base[proto] + 200 / np.sqrt(bandwidth) + np.random.normal(0, 8, n)
    for b, l in zip(bandwidth, latency):
        data.append({'Bandwidth (Mbps)': b, 'Latency (ms)': l, 'Protocol': proto})

df = pd.DataFrame(data)

plt.style.use('dark_background')
sns.set_style("darkgrid", {
    'axes.facecolor': '#0a0a0f',
    'figure.facecolor': '#0a0a0f',
    'grid.color': '#333333'
})

palette = ['#F5276C', '#27F5B0', '#F5B027', '#4927F5']

g = sns.lmplot(
    data=df,
    x='Bandwidth (Mbps)',
    y='Latency (ms)',
    hue='Protocol',
    col='Protocol',
    col_wrap=2,
    height=3.5,
    aspect=1.2,
    palette=palette,
    scatter_kws={'alpha': 0.75, 's': 50, 'edgecolor': 'white', 'linewidths': 0.4},
    line_kws={'linewidth': 2.5},
    ci=95
)

g.fig.set_facecolor('#0a0a0f')
for ax in g.axes.flat:
    ax.set_facecolor('#0a0a0f')
    for spine in ax.spines.values():
        spine.set_color('#333333')

g.fig.suptitle('Network Protocol Performance', fontsize=14, fontweight='bold', color='white', y=1.02)
plt.tight_layout()
plt.show()