Heatmap
Social Media Engagement Grid
Clean heatmap of social media engagement metrics
Output
Python
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap
np.random.seed(321)
platforms = ['Instagram', 'TikTok', 'Twitter', 'LinkedIn', 'YouTube', 'Pinterest']
days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
data = np.random.randint(15, 85, (len(platforms), len(days)))
data[0, 5:7] = [95, 98]
data[1, 5:7] = [92, 96]
# Subtle: Light → Orange
colors = ['#fffbeb', '#fde68a', '#fbbf24', '#F5B027']
cmap = LinearSegmentedColormap.from_list('SubtleOrange', colors, N=256)
fig, ax = plt.subplots(figsize=(11, 9), facecolor='#ffffff')
im = ax.imshow(data, cmap=cmap, aspect='auto', vmin=0, vmax=100)
ax.set_xticks(range(len(days)))
ax.set_yticks(range(len(platforms)))
ax.set_xticklabels(days, fontsize=11, color='#374151', fontweight='500')
ax.set_yticklabels(platforms, fontsize=11, color='#1f2937')
for i in range(len(platforms)):
for j in range(len(days)):
val = data[i, j]
color = '#1f2937'
ax.text(j, i, f'{val}%', ha='center', va='center', fontsize=10, fontweight='500', color=color)
cbar = plt.colorbar(im, ax=ax, shrink=0.6, pad=0.02)
cbar.set_label('Engagement %', fontsize=11, color='#1f2937')
cbar.ax.tick_params(labelsize=9, colors='#6b7280')
cbar.outline.set_visible(False)
for spine in ax.spines.values():
spine.set_visible(False)
ax.tick_params(length=0)
ax.set_title('Weekly Social Media Engagement', fontsize=16, color='#1f2937', fontweight='bold', pad=15)
plt.tight_layout()
plt.show()
Library
Matplotlib
Category
Heatmaps & Density
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