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Matplotlib wrapper for comfortable figure handling

Project description

classfig

Comfortable figure handling in Python3 / Matplotlib

written by Fabian Stutzki, fast@fast-apps.de

licensed under MIT

Usage

The package has to be imported:

from classfig import classfig

A very simple example is:

fig = classfig()
fig.plot()
fig.show()

classfig allows for more complex behavior with multiple subplots, legend, grid and saving to multiple files at once.

fig = classfig('PPT',nrows=2) # create figure
fig.plot([1,2,3,1,2,3,4,1,1]) # plot first data set
fig.title('First data set') # set title for subplot
fig.subplot() # set focus to next subplot/axis
fig.plot([0,1,2,3,4],[0,1,1,2,3],label="random") # plot second data set
fig.legend() # generate legend
fig.grid() # show translucent grid to highlight major ticks
fig.xlabel('Data') # create xlabel for second axis
fig.save('test_fig1.png','pdf') # save figure to png and pdf

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