Impara Adding Color and Style | Creative Coding and Generative Art

Color and style are fundamental elements in generative art, transforming simple patterns into expressive, visually engaging works. With Python, you can programmatically control color palettes, line thickness, and other stylistic features, allowing you to experiment and iterate quickly. By adjusting these properties, you can create a wide range of moods and effects in your artwork, from calm and subdued to bold and energetic.


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import matplotlib.pyplot as plt
import numpy as np

# Generate data for a pattern
x = np.linspace(0, 10, 100)
y = np.sin(x)

# Create a figure and axis
fig, ax = plt.subplots()

# Use a color map to vary the color across multiple lines
for i in range(10):
    offset = i * 0.5
    color = plt.cm.viridis(i / 9)  # Use the 'viridis' color map
    ax.plot(x, y + offset, color=color, linewidth=2)

ax.set_title("Pattern with Color Map")
plt.show()

The choices you make for colors and line styles have a powerful influence on the mood and impact of your generative art. Warm colors like red and orange can create a sense of excitement or energy, while cool colors like blue and green often feel calm or serene. Line thickness, dash patterns, and transparency can also contribute to the overall feel, making the artwork appear delicate, bold, or complex. By thoughtfully combining these elements, you can guide the viewer’s emotional response and create more compelling visual experiences.


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import matplotlib.pyplot as plt
import numpy as np
import random

# Generate data for a pattern
x = np.linspace(0, 2 * np.pi, 100)
y_base = np.sin(x)

fig, ax = plt.subplots()

# Draw multiple lines, each with a random color
for i in range(15):
    y = y_base + i * 0.3
    random_color = (random.random(), random.random(), random.random())
    ax.plot(x, y, color=random_color, linewidth=2)

ax.set_title("Pattern with Random Colors")
plt.show()

1. How does color influence generative art?

2. What is a color map in the context of matplotlib?

3. Fill in the blank: To set the color of a line in matplotlib, you use the ________ parameter.

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Sezione 3. Capitolo 3

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Suggested prompts:

Can you explain how to customize the color palette further?

How can I adjust the line thickness or style in these plots?

What are some tips for choosing effective color combinations in generative art?

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