[2]:
from lorenz import solve_lorenz w=interactive(solve_lorenz, sigma=(0.0, 50.0), rho=(0.0, 50.0)) w
New Notebook
Create a fresh workspace with example cells.
Terminal Session
Open a shell with preset demo output.
Markdown Draft
Sketch notes and document results.
Python Example
Load the Lorenz notebook with sliders.
Lorenz Demo
This README documents a small interactive notebook used to explore the Lorenz system. Use the toolbar to run cells or switch the layout.
The sliders below control sigma, beta, and rho. Adjust them to see how the attractor evolves. Output views show the latest run and source code.
Next: open the Lorenz.ipynb tab to view the notebook layout.
[2]:
- from matplotlib import pyplot as plt
- from mpl_toolkits.mplot3d import Axes3D
- import numpy as np
- from scipy import integrate
- def solve_lorenz(sigma=10.0, beta=8./3, rho=28.):
- """ Plot a solution to the Lorenz system. """
- t = np.linspace(0, 40, 4000)
- state0 = [1.0, 1.0, 1.0]
- state = integrate.odeint(lorenz, state0, t)
- plot_trajectory(state)
$ python3 lorenz.py
Initializing solver...
sigma=10.00 beta=2.63 rho=28.00
Integrating 4000 steps
Plot saved to output/lorenz.png
$ ready for next command