UpSet (interactive)

The same UpSet layout as UpSet (static), rendered in Plotly with members shown on hover.

upset_interactive

def upset_interactive(
    data_dict, color_list:NoneType=None, bar_width:float=0.8, totals_bar_height:float=0.6, matrix_height:float=1.0,
    intersection_plot_elements:int=6, totals_plot_elements:int=2, circle_size:int=100, gridkey_fontsize:int=13,
    axis_fontsize:int=13, hover_size:int=12, count_fontsize:int=12, count_color:NoneType=None, figsize:NoneType=None,
    font:str='Inter', sort_by:str='cardinality', shading:bool=True, shading_color:str='#f0f0f0', wspace:int=0,
    hspace:int=0, title:str='', title_fontsize:int=20, title_fontweight:str='bold', save_path:NoneType=None
):

Call self as a function.

Data

drugbase = ("Drug target sample files/" if __import__("os").path.isdir("Drug target sample files") else "../Drug target sample files/")
flu = pd.read_csv(drugbase + "1. FLUOXETINE_sample.csv")["Gene names"].dropna().tolist()
ibu = pd.read_csv(drugbase + "2. IBUPROFEN_sample.csv")["Gene names"].dropna().tolist()
acet = pd.read_csv(drugbase + "3. ACETAMINOPHEN_sample.csv")["Gene names"].dropna().tolist()

Interactive UpSet

Hover any intersection bar to list its members.

upset_interactive({"Fluoxetine": flu, "Ibuprofen": ibu, "Acetaminophen": acet}, title="Drug target intersections", color_list="Set2", figsize=(10.5, 6), wspace = 0.5)

Controlling plot aesthetics

Argument	Controls
`color_list`	list of bar colours, or a colormap name; one per intersection bar
`title`, `title_fontsize`	figure title text and size
`count_color`, `count_fontsize`	colour and size of the count above each bar
`hover_size`	font size of the member list in the hover tooltip
`circle_size`	size of the dot-matrix markers
`gridkey_fontsize`, `axis_fontsize`	font sizes of the set names and the axes
`bar_width`, `totals_bar_height`	thickness of the intersection and set-total bars
`shading`, `shading_color`	the alternating row bands behind the dot matrix
`sort_by`	order bars by `"cardinality"` or `"degree"`
`figsize`	figure size in inches (converted to pixels)
`save_path`	optional path to save a standalone HTML file

Colormap names. Any Matplotlib colormap name works for color_list; qualitative maps keep the sets/bars most distinct: Set1, Set2, Set3, Dark2, Paired, Accent, Pastel1, Pastel2, tab10, tab20. You can also pass an explicit list of colours instead.