Sensor Temperature Grid

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

fig, ax = plt.subplots(figsize=(10, 10), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

np.random.seed(42)
data = np.random.uniform(20, 45, (12, 12))
data[4:8, 4:8] += 15
data[2:4, 8:10] += 10

# Modern gradient: Cool Blue to Hot Pink (thermal style)
colors = ['#cffafe', '#22d3ee', '#fbbf24', '#f97316', '#dc2626']
cmap = LinearSegmentedColormap.from_list('modern', colors, N=256)

im = ax.imshow(data, cmap=cmap, aspect='equal', vmin=20, vmax=65)

for i in range(12):
    for j in range(12):
        val = data[i, j]
        color = '#ffffff' if val > 45 else '#1f2937'
        ax.text(j, i, f'{val:.0f}', ha='center', va='center', color=color, fontsize=9, fontweight='500')

ax.set_xticks(range(12))
ax.set_yticks(range(12))
ax.set_xticklabels([f'C{i+1}' for i in range(12)], color='#374151', fontsize=9)
ax.set_yticklabels([f'R{i+1}' for i in range(12)], color='#1f2937', fontsize=9)

cbar = plt.colorbar(im, ax=ax, shrink=0.8, pad=0.02)
cbar.set_label('Temperature (°C)', color='#1f2937', fontsize=11)
cbar.outline.set_edgecolor('#e5e7eb')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='#6b7280')

for spine in ax.spines.values():
    spine.set_color('#e5e7eb')
ax.set_title('Industrial Sensor Temperature Grid', fontsize=16, color='#111827', fontweight='bold', pad=15)
plt.tight_layout()
plt.show()