Download
This module provides a Julia interface to the Matplotlib plotting library from Python, and specifically to the matplotlib.pyplot module. PyPlot uses the Julia PyCall package to call Matplotlib directly from Julia with little or no overhead (arrays are passed without making a copy). (See also PythonPlot.jl for a version of PyPlot.jl using the alternative PythonCall.jl package.) This package takes advantage of Julia's multimedia I/O API to display plots in any Julia graphical backend, including as inline graphics in IJulia. Alternatively, you can use a Python-based graphical Matplotlib backend to support interactive plot zooming etcetera.
Features
- Automated Matplotlib installation
- On MacOS, you should either install XQuartz for MacOS 10.9 or later or install the Anaconda Python distribution in order to get a fully functional PyPlot
- Examples and documentation
- Exported functions
- Non-interactive plotting
- Interactive versus Julia graphics
Project Samples
Categories
Data VisualizationLicense
MIT LicenseFollow The PyPlot module for Julia
Other Useful Business Software
Stay in Flow. Let Zenflow Handle the Heavy Lifting.
Zenflow is your engineering control center, turning specs into shipped features. Parallel agents handle coding, testing, and refactoring with real repo context. Multi-agent workflows remove bottlenecks and automate routine work so developers stay focused and in flow.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of The PyPlot module for Julia!
