scSLAT.viz.multi_dataset.Sankey
- scSLAT.viz.multi_dataset.Sankey(matching_table, filter_num=50, color='red', title='', prefix=['E11.5', 'E12.5'], layout=[1300, 900], font_size=15, font_color='Black', save_name=None, format='png', width=1200, height=1000, return_fig=False)[source]
Sankey plot of celltype
- Parameters:
matching_tables – list of matching table
filter_num (
typing.Optional[int]) – filter number of matchescolor (
typing.Optional[typing.List[str]]) – color of nodetitle (
typing.Optional[str]) – plot titleprefix (
typing.Optional[typing.List[str]]) – prefix to distinguish datasetslayout (
typing.Optional[typing.List[int]]) – layout size of picturefont_size (
typing.Optional[float]) – font size in plotfont_color (
typing.Optional[str]) – font color in plotsave_name (
typing.Optional[str]) – save file name (None for not save)format (
typing.Optional[str]) – save picture format (see https://plotly.com/python/static-image-export/ for more details)width (
typing.Optional[int]) – save picture widthheight (
typing.Optional[int]) – save picture heightreturn_fig (
typing.Optional[bool]) – if return plotly figure
- Return type: