marsilea.upset.Upset#

class marsilea.upset.Upset(data, orient='h', sort_sets=None, sets_order=None, sets_color=None, sort_subsets='cardinality', min_degree=None, max_degree=None, min_cardinality=None, max_cardinality=None, color='.1', shading=0.3, radius=50, linewidth=1.5, grid_background=0.1, fontsize=None, add_intersections=True, add_sets_size=True, add_labels=True, width=None, height=None)#

Bases: WhiteBoard

Upset Plot

Parameters:

dataUpsetData: Upset data
orientstr: The orientation of the Upset plot
sets_orderarray of str: The order of sets
sets_colorarray of color: The color for each set, this will also change the bar color in set size
sort_sets{‘ascending’, ‘descending’}: The sorting order of sets
sort_subsets{‘cardinality’, ‘degree’}: How to sort the subset, ‘size’ will sort by intersection size, ‘degree’ will sort by the number of intersected sets.
min_degree, max_degreeint: Select a fraction of subset to render by degree
min_cardinality, max_cardinalityint: Select a fraction of subset to render by cardinality
colorcolor: The main color to use
shadingfloat: The value to dilute the main color
radiusfloat: The size of the dot
linewidthfloat: The width of lines that connect the dots
grid_backgroundfloat: The value to dilute the main color for background
fontsizeint: Set the fontsize for the plot
add_intersectionsbool, str, default: True: Whether or which side to add the intersection size.
add_sets_sizebool, str, default: True: Whether or which side to add the sets size.
add_labelsbool, str, default: True: Whether or which side to add the label.
widthfloat
heightfloat
ratiofloat

Examples

>>> from marsilea.upset import UpsetData, Upset
>>> data = UpsetData.from_sets([[1, 2, 3, 4],
>>>                             [3, 4, 5, 6],
>>>                             [1, 6, 10, 11]])
>>> Upset(data).render()

../../_images/marsilea-upset-Upset-1.png

add_intersections(side, pad=0.1, size=1.0)#

add_items_attr(side, attr_name, plot, name=None, pad=0.1, size=None, plot_kws=None)#

Add a plot for the items attribute

Parameters:

sidestr: The side to add the plot, can be ‘left’, ‘right’, ‘top’, ‘bottom’
attr_namestr: The name of the attribute
plotstr: The type of plot, can be ‘bar’, ‘box’, ‘boxen’, ‘violin’, ‘point’, ‘strip’, ‘swarm’, ‘stack_bar’, ‘number’
namestr, optional: The name of the plot
padfloat, optional: The padding between the plot and the axis
sizefloat, optional: The size of the plot
plot_kwsdict, optional: The keyword arguments for the plot

add_sets_attr(side, attr_name, plot, name=None, pad=0.1, size=None, plot_kws=None)#

Add a plot for the sets attribute

Parameters:

sidestr: The side to add the plot, can be ‘left’, ‘right’, ‘top’, ‘bottom’
attr_namestr: The name of the attribute
plotstr: The type of plot, can be ‘bar’, ‘box’, ‘boxen’, ‘violin’, ‘point’, ‘strip’, ‘swarm’, ‘stack_bar’, ‘number’
namestr, optional: The name of the plot
padfloat, optional: The padding between the plot and the axis
sizefloat, optional: The size of the plot
plot_kwsdict, optional: The keyword arguments for the plot

add_sets_label(side, pad=0.1, size=None, **props)#

add_sets_size(side, pad=0.1, size=1.0, **props)#

get_data()#

get_intersection_ax()#

get_sets_label_ax()#

get_sets_size_ax()#

highlight_subsets(present=None, absent=None, min_cardinality=None, max_cardinality=None, min_degree=None, max_degree=None, facecolor=None, edgecolor=None, edgewidth=None, hatch=None, edgestyle=None, label=None)#

Highlight a subset of the data.

Notice that the color of hatch is determined by the edgecolor.

Parameters:

present: The sets that present in the subset
absent: The sets that absent in the subset
min_cardinality: The minimum cardinality of the subset
max_cardinality: The maximum cardinality of the subset
min_degree: The minimum degree of the subset
max_degree: The maximum degree of the subset
facecolor: The facecolor to decorate the subset
edgecolor: The color of the edge line
edgewidth: The edgewidth of the edge line
hatch: The fill pattern
edgestyle: The style of edge line
label: The label for the highlighting

classmethod update_attr_plotter(attr_plotter)#: Update the global upset plot for attr plotter