scSLAT.viz.multi_dataset.match_3D_multi

class scSLAT.viz.multi_dataset.match_3D_multi(dataset_A, dataset_B, matching, meta=None, expr=None, subsample_size=300, reliability=None, scale_coordinate=True, rotate=None, exchange_xy=False, subset=None)

Bases: object

Plot the mapping result between 2 datasets

Parameters:

• dataset_A (pandas.core.frame.DataFrame) – pandas dataframe which contain [‘index’,’x’,’y’], reference dataset

• dataset_B (pandas.core.frame.DataFrame) – pandas dataframe which contain [‘index’,’x’,’y’], target dataset

• matching (numpy.ndarray) – matching results

• meta (typing.Optional[str]) – dataframe colname of meta, such as celltype

• expr (typing.Optional[str]) – dataframe colname of gene expr

• subsample_size (typing.Optional[int]) – subsample size of matches

• reliability (typing.Optional[numpy.ndarray]) – match score (cosine similarity score)

• scale_coordinate (typing.Optional[bool]) – if scale coordinate via (\(data - np.min(data)) / (np.max(data) - np.min(data))\))

• rotate (typing.Optional[typing.List[str]]) – how to rotate the slides (force scale_coordinate), such as [‘x’,’y’], means dataset0 rotate on x axes and dataset1 rotate on y axes

• change_xy – exchange x and y on dataset_B

• subset (typing.Optional[typing.List[int]]) – index of query cells to be plotted

Note

dataset_A and dataset_B can in different length

Methods

draw_3D	Draw 3D picture of two datasets
draw_lines	Draw lines between paired cells in two datasets