Content Performance Grid

import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

np.random.seed(42)

# Categories and months
categories = ['Tech', 'Business', 'Lifestyle', 'Health', 'Finance', 'Travel']
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']

# Pageviews (thousands)
views = np.random.randint(10, 50, (len(categories), len(months)))
# Add trends
views[0, :] = [15, 22, 35, 45, 52, 68]  # Tech growing
views[5, :] = [45, 38, 25, 18, 22, 35]  # Travel seasonal

df = pd.DataFrame(views, index=categories, columns=months)

# NEON amber colormap
neon_amber = LinearSegmentedColormap.from_list('neon_amber', ['#ffffff', '#F5D327', '#F5B027', '#F54927'])

fig, ax = plt.subplots(figsize=(9, 6), facecolor='#ffffff')
ax.set_facecolor('#ffffff')

sns.heatmap(df, cmap=neon_amber, annot=True, fmt='d', linewidths=2, linecolor='#ffffff',
            annot_kws={'size': 12, 'fontweight': 'bold'},
            cbar_kws={'shrink': 0.8, 'label': 'Pageviews (K)'}, ax=ax)

ax.set_title('Content Performance by Category', color='#1f2937', fontsize=14, fontweight='bold', pad=15)
ax.set_xlabel('Month', color='#1f2937', fontsize=11)
ax.set_ylabel('Category', color='#1f2937', fontsize=11)
ax.tick_params(colors='#374151', labelsize=11)

plt.tight_layout()
plt.show()