Heatmap

Social Media Reach Heatmap

Light theme heatmap showing post reach by time

Output
Social Media Reach Heatmap
Python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap
from matplotlib.patches import FancyBboxPatch

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

np.random.seed(42)
platforms = ['Twitter', 'Instagram', 'LinkedIn', 'TikTok', 'YouTube']
content_types = ['Video', 'Image', 'Text', 'Story', 'Live']
reach = np.random.randint(1000, 50000, (len(platforms), len(content_types)))

colors = ['#1e293b', '#581c87', '#9333ea', '#c084fc', '#e9d5ff']
cmap = LinearSegmentedColormap.from_list('social', colors, N=256)

cell_w, cell_h = 0.88, 0.82
for i in range(len(platforms)):
    for j in range(len(content_types)):
        val = reach[i, j]
        rect = FancyBboxPatch((j - cell_w/2, i - cell_h/2), cell_w, cell_h,
                               boxstyle="round,pad=0.02,rounding_size=0.12",
                               facecolor=cmap(val/50000), edgecolor='#e2e8f0', linewidth=1.5)
        ax.add_patch(rect)
        ax.text(j, i, f'{val//1000}K', ha='center', va='center', color='#1e293b', fontsize=10, fontweight='bold')

ax.set_xlim(-0.5, len(content_types)-0.5)
ax.set_ylim(-0.5, len(platforms)-0.5)
ax.set_aspect('equal')
ax.invert_yaxis()
ax.set_xticks(range(len(content_types)))
ax.set_yticks(range(len(platforms)))
ax.set_xticklabels(content_types, color='#64748b', fontsize=10, fontweight='500')
ax.set_yticklabels(platforms, color='#1e293b', fontsize=11, fontweight='500')

sm = plt.cm.ScalarMappable(cmap=cmap, norm=plt.Normalize(0, 50000))
cbar = plt.colorbar(sm, ax=ax, shrink=0.8, pad=0.02)
cbar.set_label('Reach', color='#1e293b', fontsize=11)
cbar.outline.set_edgecolor('#e2e8f0')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='#64748b')

for spine in ax.spines.values(): spine.set_visible(False)
ax.tick_params(length=0)
ax.set_title('Social Media Reach by Content Type', fontsize=18, color='#1e293b', fontweight='bold', pad=20)
plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Heatmaps & Density

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