'''
Venn diagram plotting routines.

Copyright 2012, Konstantin Tretyakov.
http://kt.era.ee/

Licensed under MIT license.

This package contains routines for plotting area-weighted two- and three-circle venn diagrams.
There are four main functions here: :code:`venn2`, :code:`venn2_circles`, :code:`venn3`, :code:`venn3_circles`.

The :code:`venn2` and :code:`venn2_circles`  accept as their only required argument a 3-element list of subset sizes:

    subsets = (Ab, aB, AB)

That is, for example, subsets[0] contains the size of the subset (A and not B), and
subsets[2] contains the size of the set (A and B), etc.

Similarly, the functions :code:`venn3` and :code:`venn3_circles` require a 7-element list:

    subsets = (Abc, aBc, ABc, abC, AbC, aBC, ABC)

The functions :code:`venn2_circles` and :code:`venn3_circles` simply draw two or three circles respectively,
such that their intersection areas correspond to the desired set intersection sizes.
Note that for a three-circle venn diagram it is not possible to achieve exact correspondence, although in
most cases the picture will still provide a decent indication.

The functions :code:`venn2` and :code:`venn3` draw diagram as a collection of separate colored patches with text labels.

The functions :code:`venn2_circles` and :code:`venn3_circles` return the list of Circle patches that may be tuned further
to your liking.

The functions :code:`venn2` and :code:`venn3` return an object of class :code:`Venn2` or :code:`Venn3` respectively,
which give access to constituent patches and text elements.

Example::

    from matplotlib import pyplot as plt
    import numpy as np
    from matplotlib_venn import venn3, venn3_circles
    plt.figure(figsize=(4,4))
    v = venn3(subsets=(1, 1, 1, 1, 1, 1, 1), set_labels = ('A', 'B', 'C'))
    v.get_patch_by_id('100').set_alpha(1.0)
    v.get_patch_by_id('100').set_color('white')
    v.get_label_by_id('100').set_text('Unknown')
    v.get_label_by_id('A').set_text('Set "A"')
    c = venn3_circles(subsets=(1, 1, 1, 1, 1, 1, 1), linestyle='dashed')
    c[0].set_lw(1.0)
    c[0].set_ls('dotted')
    plt.title("Sample Venn diagram")
    plt.annotate('Unknown set', xy=v.get_text_by_id('100').get_position() - np.array([0, 0.05]), xytext=(-70,-70),
                ha='center', textcoords='offset points', bbox=dict(boxstyle='round,pad=0.5', fc='gray', alpha=0.1),
                arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0.5',color='gray'))
'''
from matplotlib_venn._venn2 import venn2, venn2_circles
from matplotlib_venn._venn3 import venn3, venn3_circles
from matplotlib_venn._util import venn2_unweighted, venn3_unweighted
___all___ = ['venn2', 'venn2_circles', 'venn3', 'venn3_circles', 'venn2_unweighted', 'venn3_unweighted']