MatPlotTheme is a theming library for MatPlotLib.
In MatPlotTheme, theming MatPlotLib figures is controlled by style and palette, which defines how elements are customized and which colors are used, respectively. As MatPlotTheme provides multiple styles/palettes (at least that is what I am working on), using the library is as simple as picking a style-palette combination and plot. What’s more, MatPlotTheme inherits MatPlotLib’s API configuration, which means existing code can be migrated with minimal effort.
MatPlotTheme provides a default Style and a default Palette. Each of them are python classes and all other styles/palettes are derived classes of them. matplottheme provides interfaces to all plotting methods in Style, which enable library usage like matplottheme.plot(ax, x, y).
# Use API provided by matplottheme module import matplottheme as mpt import matplotlib.pylab as plt import numpy as np x = np.arange(1000) y = np.random.normal(size=1000).cumsum() fig = plt.figure() ax = fig.add_subplot(111) # MatPlotTheme plots a line using ggplot2 style/palette mpt.set_theme('ggplot2', 'ggplot2') mpt.plot(ax, x, y)
This code block can also generate the same plot as the first one.
# Use style/palette objects from matplottheme.style.ggplot2 import ggplot2Style from matplottheme.palette.ggplot2 import ggplot2Palette import matplotlib.pylab as plt import numpy as np x = np.arange(1000) y = np.random.normal(size=1000).cumsum() fig = plt.figure() ax = fig.add_subplot(111) # Manually using ggplot2 style/palette ggplot2Style(ggplot2Palette()).plot(ax, x, y)
- MatPlotLib. pip install matplotlib is the most simple installation method.
The MIT License (MIT)
Copyright (c) 2014 James Yu
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