SpatialQuery.spatial_query.find_patterns_rand

spatial_query.find_patterns_rand(max_dist=20, n_points=1000, min_support=0.5, min_size=0, if_display=True, figsize=(10, 5), return_cellID=False, seed=2023)[source]

Randomly generate points and use them to find surrounding patterns in spatial data.

Parameters:

  • max_dist (float, default=20) – Maximum distance to consider a cell as a neighbor.

  • n_points (int, default=1000) – Number of random points to generate.

  • min_support (float, default=0.5) – Threshold of frequency to consider a pattern as a frequent pattern.

  • min_size (int, default=0) – Minimum neighborhood size for each random point to consider.

  • if_display (bool, default=True) – Display the random points with nearby frequent patterns if if_display=True.

  • figsize (tuple, default=(10, 5)) – Tuple of figure size for the display plot.

  • return_cellID (bool, default=False) – Indicate whether return cell IDs for each frequent pattern within the neighborhood of random points. By default do not return cell ID.

  • seed (int, default=2023) – Random seed for reproducibility.

Returns:

DataFrame with frequent pattern results. Columns include:

  • itemsets: frozenset of cell types in the frequent pattern

  • support: frequency of the pattern (proportion of random points with this pattern)

  • neighbor_id: set of cell indices belonging to the pattern (only if return_cellID=True)

Return type:

pd.DataFrame