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ax.plot(x_values, y_values, label=f'iteration = {2**n}', color='blue') ax.plot(x_values, x_values, linewidth=0.5, color='green') ax.hlines(0.5, 0, 1, linewidth=0.3, alpha=0.8, linestyle='--', color='black') ax.legend()
290:– You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
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ax = axes n_iter = 2**n y_values = function_iter(logistic_map, n_iter - last_n_iter, y_values, r=r) last_n_iter = n_iter
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r = 3.4 highest_exponent = 8 fig, axes = plt.subplots(nrows=highest_exponent, ncols=1, figsize=(40, 5 * highest_exponent))
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If the file has been modified from its original state, some details may not fully reflect the modified file.
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fig.suptitle(f'Iterates of the
Logistic map with r = {r}',y=1.0) plt.tight_layout()
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Uploaded while editing "Feigenbaum function" on en.wikipedia.org
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x_values = np.linspace(0, 1, 10000) y_values = x_values last_n_iter = 0
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Click on a date/time to view the file as it appeared at that time.
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150:```python import numpy as np import matplotlib.pyplot as plt
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for _ in range(n): x = f(x, **kwargs) return x
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Add a one-line explanation of what this file represents
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plt.savefig(f'logistic_iterates_{r}.svg') plt.show()
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Commons is a freely licensed media file repository.
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Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.
