Temperature Calendar 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=(16, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

np.random.seed(42)
days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
weeks = [f'W{i+1}' for i in range(26)]
data = 15 + 15 * np.sin(np.linspace(0, np.pi, 26)) + np.random.randn(7, 26) * 3

colors = ['#1e40af', '#60a5fa', '#334155', '#fb923c', '#dc2626']
cmap = LinearSegmentedColormap.from_list('calendar', colors, N=256)

cell_w, cell_h = 0.92, 0.82
for i in range(len(days)):
    for j in range(len(weeks)):
        val = data[i, j]
        rect = FancyBboxPatch((j - cell_w/2, i - cell_h/2), cell_w, cell_h,
                               boxstyle="round,pad=0.01,rounding_size=0.08",
                               facecolor=cmap((val+5)/40), edgecolor='#e2e8f0', linewidth=0.5)
        ax.add_patch(rect)

ax.set_xlim(-0.5, len(weeks)-0.5)
ax.set_ylim(-0.5, len(days)-0.5)
ax.set_aspect('equal')
ax.invert_yaxis()
ax.set_xticks(range(0, len(weeks), 4))
ax.set_yticks(range(len(days)))
ax.set_xticklabels([weeks[i] for i in range(0, len(weeks), 4)], color='#64748b', fontsize=9, fontweight='500')
ax.set_yticklabels(days, color='#1e293b', fontsize=10, fontweight='500')

sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(-5, 35))
cbar = plt.colorbar(sm, ax=ax, shrink=0.8, orientation='horizontal', pad=0.15)
cbar.set_label('Temperature (°C)', color='#1e293b', fontsize=11)
cbar.outline.set_edgecolor('#e2e8f0')
plt.setp(plt.getp(cbar.ax.axes, 'xticklabels'), color='#64748b')

for spine in ax.spines.values(): spine.set_visible(False)
ax.tick_params(length=0)
ax.set_title('Annual Temperature Calendar', fontsize=18, color='#1e293b', fontweight='bold', pad=20)
plt.tight_layout()
plt.show()