https://github.com/jmoy/plotdf

Python package to plot phase portraits of 2D differential equations.
https://github.com/jmoy/plotdf

Last synced: about 2 months ago
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Python package to plot phase portraits of 2D differential equations.

• Host: GitHub
• URL: https://github.com/jmoy/plotdf
• Owner: jmoy
• License: gpl-3.0
• Created: 2015-09-12T03:53:40.000Z (about 9 years ago)
• Default Branch: master
• Last Pushed: 2015-09-13T07:11:56.000Z (about 9 years ago)
• Last Synced: 2024-04-26T00:25:42.380Z (5 months ago)
• Language: Python
• Size: 141 KB
• Stars: 27
• Watchers: 5
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
Plot phase portraits of 2D differential equations using

Python's `matplotlib` and `scipy` libraries.

Inspired by Maxima's `plotdf` function.

## Usage

To plot `dx/dt = y`, `dy/dt = -g sin(x) / l - b y/ (m l)`:

````

  from math import sin

  from plotdf import plotdf

  

  def f(x,g=1,l=1,m=1,b=1):

    return np.array([x[1],-g*sin(x[0])/l-b*x[1]/m/l])

  plotdf(f, # Function giving the rhs of the diff. eq. system

         np.array([-10,2]), # [xmin,xmax]

         np.array([-14,14]),# [ymin,ymax]

         [(1.05,-9),(0,5)], # list of initial values for trajectories (optional)

         # Additional parameters for `f` (optional)

         parameters={"g":9.8,"l":0.5,"m":0.3,"b":0.05})

````

For the full list of parameters to `plotdf`, see `help(plotdf.plotdf)`.

## Dependencies

Both Python 2 and 3 are supported. You need `matplotlib`,

`numpy` and `scipy` installed.

## Installation

The package is on PyPI so you can install it with

    $ pip install plotdf