Horizon Chart

Podcast Listening Hours Horizon

Media consumption horizon chart showing podcast listening patterns with deep purple neon gradient.

Output
Podcast Listening Hours Horizon
Python
import matplotlib.pyplot as plt
import numpy as np

COLORS = {
    'bands': ['#2d1b4e', '#4c2882', '#8B5CF6', '#C4B5FD'],
    'background': '#0a0a0f',
    'text': '#ffffff',
}

np.random.seed(3232)
hours = np.arange(0, 168)  # Week
# Podcast: commute times, workout mornings
commute_am = 30 * np.exp(-((hours % 24 - 7.5)**2) / 2)
commute_pm = 25 * np.exp(-((hours % 24 - 17.5)**2) / 2)
weekend_morning = np.where((hours % 168 > 120), 20 * np.exp(-((hours % 24 - 9)**2) / 8), 0)
listening = commute_am + commute_pm + weekend_morning + np.random.exponential(3, len(hours))
listening = np.clip(listening, 0, 50)
listening_norm = listening / 50

fig, ax = plt.subplots(figsize=(14, 3), facecolor=COLORS['background'])
ax.set_facecolor(COLORS['background'])

band = 0.25

ax.fill_between(hours, 0, np.clip(listening_norm, 0, band), color=COLORS['bands'][0])
ax.fill_between(hours, 0, np.clip(listening_norm - band, 0, band), color=COLORS['bands'][1])
ax.fill_between(hours, 0, np.clip(listening_norm - 2*band, 0, band), color=COLORS['bands'][2])
ax.fill_between(hours, 0, np.clip(listening_norm - 3*band, 0, band), color=COLORS['bands'][3])

ax.set_xlim(0, 167)
ax.set_ylim(0, 0.3)

ax.set_title('Podcast Listening (minutes/hour)', color=COLORS['text'], fontsize=12, fontweight='bold', pad=10)
ax.set_xlabel('Day', color=COLORS['text'], fontsize=10)
ax.set_ylabel('Minutes/hr', color=COLORS['text'], fontsize=10)
ax.set_xticks([0, 24, 48, 72, 96, 120, 144])
ax.set_xticklabels(['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])

for spine in ax.spines.values():
    spine.set_visible(False)
ax.tick_params(colors=COLORS['text'], labelsize=9)

plt.tight_layout()
plt.show()
Library

Matplotlib

Category

Time Series

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