Video Views vs Watch Time

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.colors import LinearSegmentedColormap

np.random.seed(42)

# Video analytics
views = np.random.exponential(10000, 4000)
watch_time = np.random.beta(2, 3, 4000) * 15 + 0.5  # minutes
watch_time = watch_time * (1 + np.log1p(views) * 0.05)

fig, ax = plt.subplots(figsize=(10, 8), facecolor='#020B14')
ax.set_facecolor('#020B14')

# Custom colormap: coral to cyan
colors = ['#020B14', '#2d1a2e', '#F5276C', '#27D3F5']
cmap = LinearSegmentedColormap.from_list('coral_cyan', colors, N=256)

h = ax.hist2d(np.log10(views + 1), watch_time, bins=45, cmap=cmap, cmin=1)
cbar = plt.colorbar(h[3], ax=ax, pad=0.02)
cbar.set_label('Videos', color='white', fontsize=11)
cbar.ax.yaxis.set_tick_params(color='white')
plt.setp(plt.getp(cbar.ax.axes, 'yticklabels'), color='white')

ax.set_xlabel('Views (log10)', fontsize=11, color='white', fontweight='500')
ax.set_ylabel('Avg Watch Time (min)', fontsize=11, color='white', fontweight='500')
ax.set_title('Video Views vs Watch Time', fontsize=14, color='white', fontweight='bold', pad=15)

ax.tick_params(colors='white', labelsize=9)
for spine in ax.spines.values():
    spine.set_color('#333333')

plt.tight_layout()
plt.show()