Crypto Trading Volume by Hour

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

np.random.seed(42)

hours = ['00:00', '04:00', '08:00', '12:00', '16:00', '20:00']
# Neon gradient colors for each ridge
gradient_colors = [
    ['#0a0a0f', '#4927F5', '#27D3F5'],
    ['#0a0a0f', '#F5276C', '#F5B027'],
    ['#0a0a0f', '#6CF527', '#27F5B0'],
    ['#0a0a0f', '#F54927', '#F5D327'],
    ['#0a0a0f', '#5314E6', '#F527B0'],
    ['#0a0a0f', '#276CF5', '#6CF527']
]

data = {
    '00:00': np.random.gamma(3, 15, 500),
    '04:00': np.random.gamma(2, 10, 500),
    '08:00': np.random.gamma(5, 12, 500),
    '12:00': np.random.gamma(6, 14, 500),
    '16:00': np.random.gamma(7, 13, 500),
    '20:00': np.random.gamma(5, 15, 500)
}

fig, ax = plt.subplots(figsize=(12, 8), facecolor='#0a0a0f')
ax.set_facecolor('#0a0a0f')

overlap = 1.8
x_range = np.linspace(0, 180, 300)

for i, (hour, volume) in enumerate(data.items()):
    kde = stats.gaussian_kde(volume, bw_method=0.25)
    y = kde(x_range) * 4
    baseline = i * overlap
    
    # Create gradient mesh for fill
    cmap = LinearSegmentedColormap.from_list('grad', gradient_colors[i], N=256)
    
    # Glow effect - plot thick line with alpha first
    ax.plot(x_range, y + baseline, color=gradient_colors[i][2], linewidth=8, alpha=0.3)
    ax.plot(x_range, y + baseline, color=gradient_colors[i][2], linewidth=4, alpha=0.5)
    ax.plot(x_range, y + baseline, color=gradient_colors[i][2], linewidth=2, alpha=1)
    
    # Gradient fill using imshow
    Y = np.linspace(baseline, y.max() + baseline, 100)
    X, Y_mesh = np.meshgrid(x_range, Y)
    Z = np.zeros_like(X)
    for j, xi in enumerate(x_range):
        Z[:, j] = np.linspace(0, 1, 100) * (y[j] / y.max() if y.max() > 0 else 0)
    
    ax.imshow(Z, extent=[x_range.min(), x_range.max(), baseline, y.max() + baseline],
              aspect='auto', cmap=cmap, alpha=0.7, origin='lower')
    ax.fill_between(x_range, baseline, y + baseline, alpha=0, edgecolor='none')
    
    ax.text(-5, baseline + 0.15, hour, fontsize=11, color='white',
            ha='right', va='bottom', fontweight='600')

ax.set_xlim(-25, 180)
ax.set_ylim(-0.3, len(hours) * overlap + 2)
ax.set_xlabel('Volume ($M)', fontsize=12, color='#888888', fontweight='500')
ax.set_title('Crypto Trading Volume by Hour', fontsize=16, color='white', fontweight='bold', pad=20)

ax.tick_params(axis='x', colors='#666666', labelsize=10)
ax.tick_params(axis='y', left=False, labelleft=False)
for spine in ax.spines.values():
    spine.set_visible(False)

plt.tight_layout()
plt.show()