# UpSet (interactive) ------------------------------------------------------------------------ source ### upset_interactive ``` python 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 ``` python 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. ``` python 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.