flow

art.py

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection
from matplotlib import colors

def create_flowing_art(size=1000, waves=15):
    # Create figure with black background
    plt.figure(figsize=(12, 12), facecolor='black')
    ax = plt.gca()
    ax.set_facecolor('black')
    
    # Generate base coordinates
    t = np.linspace(0, 2*np.pi, size)
    x = np.linspace(-10, 10, size)
    
    # Create multiple wave patterns
    segments = []
    colors_list = []
    
    for i in range(waves):
        phase = i * 2 * np.pi / waves
        amplitude = 2 + np.sin(i * 0.3)
        frequency = 1 + i * 0.1
        
        # Generate flowing wave pattern
        y = amplitude * np.sin(frequency * x + phase)
        y += 0.3 * np.sin(frequency * 3 * x + phase)
        y += 0.2 * np.cos(frequency * 5 * x + phase)
        
        # Create line segments
        points = np.array([x, y]).T.reshape(-1, 1, 2)
        segments.append(np.concatenate([points[:-1], points[1:]], axis=1))
        
        # Generate colors
        hue = (i / waves + t[:len(segments[-1])] / (4 * np.pi)) % 1.0
        saturation = np.full_like(hue, 0.8)
        value = np.full_like(hue, 0.9)
        colors_list.extend(colors.hsv_to_rgb(np.dstack([hue, saturation, value]))[0])
    
    # Combine all segments
    segments = np.concatenate(segments, axis=0)
    
    # Create line collection with varying colors
    lc = LineCollection(segments, colors=colors_list, linewidth=1.5, alpha=0.7)
    ax.add_collection(lc)
    
    # Add some stars in the background
    stars = np.random.rand(200, 2) * 20 - 10
    plt.scatter(stars[:, 0], stars[:, 1], color='white', alpha=0.5, s=1)
    
    # Set axis properties
    ax.set_xlim(-10, 10)
    ax.set_ylim(-8, 8)
    ax.axis('off')
    
    # Add a subtle glow effect
    plt.style.use('dark_background')
    
    return plt

# Create and show the art
art = create_flowing_art()
art.savefig('flowing_art.png', facecolor='black', bbox_inches='tight', dpi=300)
plt.close()