Comparision of various python-matplotlib styles (1.4.x, probably valid of 1.5.x)

[Dilawar Singh]

The most often used library of plotting data in python is `matplotlib` (or pylab). It is also the underlying library for python-pandas. It is very easy to customize (though bit slow for large data: gnuplot beats it hands down on GB range).

Maptlolib offers various pre-defined 'styles' for canvas. Following styles were plotted for comparision: seaborn-darkgrid,seaborn-notebook,classic,seaborn-ticks,grayscale,bmh,seaborn-talk,dark_background,ggplot,fivethirtyeight,seaborn-colorblind,seaborn-deep,seaborn-whitegrid,seaborn-bright,seaborn-poster,seaborn-muted,seaborn-paper,seaborn-white,seaborn-pastel,seaborn-dark,seaborn-dark-palett. A gallery linked below contains these plots.

The style 'ggplot' (default on latest matplotlib) is pretty OK for day to day work. Various kind of plots were generated in 3 subplots. Some TEXTBOX were also added. (tight_layout() was used in each plot).

To change the style, one needs to do just the following.

import pylab
pylab.style.use( 'seaborn-darkgrid' )




Alternatively,

import matplotlib.pyplot as plt
plt.style.use( 'seaborn-colorblind' )

The gallery is hosted on Wordpress : https://dilawarnotes.wordpress.com/#jp-carousel-1477

- Dilawar

[Sourabh Bhat]

Thank you Dilawar.

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Best Regards,
-- Sourabh