Heatmap

Memory Usage Heatmap

Dark theme heatmap showing application memory over time

Output
Memory Usage Heatmap
Python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap
from matplotlib.patches import FancyBboxPatch
import matplotlib.patheffects as pe

fig, ax = plt.subplots(figsize=(14, 7), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

np.random.seed(42)
apps = ['Frontend', 'Backend', 'Database', 'Cache', 'Worker', 'Scheduler']
hours = [f'{h:02d}:00' for h in range(0, 24, 2)]
memory = np.random.gamma(3, 200, (len(apps), len(hours)))

# Modern gradient colormap
colors = ['#1e293b', '#334155', '#f59e0b', '#fbbf24', '#fef3c7']
cmap = LinearSegmentedColormap.from_list('modern', colors, N=256)

# Draw rounded rectangles for each cell
cell_width = 0.9
cell_height = 0.85
for i in range(len(apps)):
    for j in range(len(hours)):
        val = memory[i, j]
        color = cmap(val / memory.max())
        rect = FancyBboxPatch((j - cell_width/2, i - cell_height/2), 
                               cell_width, cell_height,
                               boxstyle="round,pad=0.02,rounding_size=0.15",
                               facecolor=color, edgecolor='#e2e8f0', linewidth=1)
        ax.add_patch(rect)

ax.set_xlim(-0.5, len(hours) - 0.5)
ax.set_ylim(-0.5, len(apps) - 0.5)
ax.set_aspect('equal')
ax.invert_yaxis()

ax.set_xticks(range(len(hours)))
ax.set_yticks(range(len(apps)))
ax.set_xticklabels(hours, rotation=45, ha='right', color='#64748b', fontsize=9, fontweight='500')
ax.set_yticklabels(apps, color='#1e293b', fontsize=11, fontweight='500')

# Colorbar with modern styling
sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(vmin=0, vmax=memory.max()))
cbar = plt.colorbar(sm, ax=ax, shrink=0.8, aspect=30, pad=0.02)
cbar.set_label('Memory (MB)', 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_xlabel('Hour', fontsize=12, color='#64748b', fontweight='500', labelpad=10)
ax.set_title('Application Memory Usage', fontsize=18, color='#1e293b', fontweight='bold', pad=20,
             path_effects=[pe.withStroke(linewidth=3, foreground='#0f172a')])
ax.tick_params(length=0)

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Heatmaps & Density

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