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FaSt_Fig

FaSt_Fig is a wrapper for matplotlib that provides a simple interface for fast and easy plotting.

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

licensed under MIT

Usage

The package has to be imported:

from fast_fig import FFig

A very simple example is:

fig = FFig()
fig.plot()
fig.show()

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

fig = FFig('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

Metadata

Release files for fast-fig 0.5.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for fast-fig 0.5.4
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fast_fig-0.5.4.tar.gz 8.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for fast-fig 0.5.4
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fast_fig-0.5.4-py3-none-any.whl Python 3 none any Details

Total release size: 16.9 kB

Release files / fast_fig-0.5.4.tar.gz

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Release files / fast_fig-0.5.4-py3-none-any.whl

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0.8.4

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