Boxplot

Sensor Readings

IoT sensor data distribution.

Output
Sensor Readings
Python
import matplotlib.pyplot as plt
import numpy as np

COLORS = {'sensor': '#10B981', 'anomaly': '#EF4444', 'median': '#FFFFFF', 'background': '#FFFFFF', 'text': '#1E293B', 'text_muted': '#64748B', 'grid': '#F1F5F9'}

np.random.seed(42)
data = [np.random.normal(m, s, 100) for m, s in [(25, 2), (25.5, 2.5), (24.8, 1.8), (28, 5), (25.2, 2)]]

fig, ax = plt.subplots(figsize=(10, 6), dpi=100)
ax.set_facecolor(COLORS['background'])
fig.patch.set_facecolor(COLORS['background'])

bp = ax.boxplot(data, widths=0.5, patch_artist=True, showfliers=True,
                medianprops=dict(color=COLORS['median'], linewidth=2),
                flierprops=dict(marker='o', markersize=4, alpha=0.5))

# Highlight anomalous sensor
colors = [COLORS['sensor'], COLORS['sensor'], COLORS['sensor'], COLORS['anomaly'], COLORS['sensor']]
for i, (patch, color) in enumerate(zip(bp['boxes'], colors)):
    patch.set_facecolor(color)
    patch.set_edgecolor('white')

ax.set_xticklabels(['Sensor 1', 'Sensor 2', 'Sensor 3', 'Sensor 4', 'Sensor 5'])
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_ylabel('Temperature (°C)', fontsize=10, color=COLORS['text'], labelpad=10)

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Statistical

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