mpltex is a python package for creating publication-quality plots using matplotlib.
The internal matplotlib color cycle is replaced by ColorBrewer Set1 scale which looks less saturated and more pleasing to eyes. For more information on ColorBrewer, see a flash-based interactive map and a quick visual reference to all ColorBrewer scales.
mpltex also enable cycle line styles and a selected set of line markers. Hollow markers are supported.
$ pip install mpltex
Examples and sample plots can be found here.
Following is a brief introduction. Just add one of mpltex decorators before your plot functions.
import mpltex @mpltex.acs_decorator def your_plot(): # plot images by matplotlib ... # Save the image. Give a file name without extension. # You can also save figure outside your_plot if you like. fig.save_fig('/path/to/save/fig/figname') # Then use your_plot in a normal way. your_plot()
And it will create a plot ready for publishing in journals published by American Chemical Society (ACS).
mpltex also contains several helper functions to facilitate production of specific type of images. Following codes will produce a set of line arts with cycled line styles and line markers with the help of mpltex.linestyle_generator function.
import matplotlib.pyplot as plt import mpltex @mpltex.acs_decorator def your_plot(): # ... # generate data x and y fig, ax = plt.subplots(111) # The default line style is iterating over # color, line, and marker with hollow types. linestyles = mpltex.linestyle_generator() for i in range(number_of_lines): ax.plot(x[i], y[i], label=str(i), **linestyles.next()) ax.locator_params(nbins=5) # limit the number of major ticks ax.legend(loc='best') # show legend in a best location fig.tight_layout(pad=0.1) # make layout as tight as possible fig.savefig('/path/to/save/fig/figname')