CPU Temperature Heatmap

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

fig, ax = plt.subplots(figsize=(14, 8), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

np.random.seed(42)
cores = [f'Core {i}' for i in range(8)]
time_points = [f'{i*5}min' for i in range(12)]
temps = 40 + np.random.rand(len(cores), len(time_points)) * 45

colors = ['#1e293b', '#0369a1', '#38bdf8', '#fbbf24', '#f97316', '#ef4444']
cmap = LinearSegmentedColormap.from_list('thermal', colors, N=256)

cell_width = 0.88
cell_height = 0.82
for i in range(len(cores)):
    for j in range(len(time_points)):
        val = temps[i, j]
        color = cmap((val - 40) / 50)
        rect = FancyBboxPatch((j - cell_width/2, i - cell_height/2), 
                               cell_width, cell_height,
                               boxstyle="round,pad=0.02,rounding_size=0.12",
                               facecolor=color, edgecolor='#e2e8f0', linewidth=1.5)
        ax.add_patch(rect)
        ax.text(j, i, f'{val:.0f}°', ha='center', va='center', 
                color='#1e293b', fontsize=9, fontweight='bold')

ax.set_xlim(-0.5, len(time_points) - 0.5)
ax.set_ylim(-0.5, len(cores) - 0.5)
ax.set_aspect('equal')
ax.invert_yaxis()

ax.set_xticks(range(len(time_points)))
ax.set_yticks(range(len(cores)))
ax.set_xticklabels(time_points, rotation=45, ha='right', color='#64748b', fontsize=9, fontweight='500')
ax.set_yticklabels(cores, color='#1e293b', fontsize=10, fontweight='500')

sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(vmin=40, vmax=90))
cbar = plt.colorbar(sm, ax=ax, shrink=0.8, aspect=30, pad=0.02)
cbar.set_label('Temperature (°C)', color='#1e293b', fontsize=11, fontweight='500')
cbar.ax.yaxis.set_tick_params(color='#64748b')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='#64748b')
cbar.outline.set_edgecolor('#e2e8f0')

for spine in ax.spines.values():
    spine.set_visible(False)

ax.set_title('CPU Core Temperature Monitor', fontsize=18, color='#1e293b', fontweight='bold', pad=20)
ax.tick_params(length=0)
plt.tight_layout()
plt.show()