plot_me: Production quality plotting library.

What is it

It is a frontend for producing plots suitable for publication in scientific journals.

Main Features

• 1D plots (fig)
• 2D plots (fig2d)
• Add data from arrays (add, add1d)
• Read data from txt and inside of zip files (read, loadzip)
• Running averaging, FFT frequency cut and windowing (smoothme, fftsmoothme, smooth)
• 1D fitting (fit, plotfit, getfiterr)
• Polynomial 2D fitting (polyfit2d)

Dependencies

• NumPy: 1.6.1 or higher
• matplotlib: the backend
• SciPy: fitting
• standard libraries

Installation from sources

Just copy "plot_me.py" to you site-packages library directory.

Usage

import plot_me
i=plot_me.fig("Time (seconds)", "Power (arb. units)") #, ylimit=[30,180])
i.load("plot_me_test.txt").plot(0, 1, "series1","", 1, log=0)
i.save("Power.png")

See "plot_me_test.txt.py" for further examples.

License

BSD

Background

Work on plot_me started as a private collection of help functions in 2008 and has been under active development since then.