dotools_py.dt.example_visium#
- dotools_py.dt.example_visium(path=None)[source]#
Download a 10x Visium dataset from the heart.
Downloads a dataset of the human heart. The sample comes from fresh frozen tissue and includes the H&E image.
- Parameters:
- Return type:
- Returns:
Returns
None.
Examples
>>> import dotools_py as do >>> do.dt.example_visium() 2026-04-17 14:45:48,428 - Downloading data to /Users/david/Library/Caches/dotools_datasets Downloading Molecule info: 100%|██████████| 142M/142M [00:01<00:00, 118MiB/s] Downloading filtered matrix: 100%|██████████| 11.6M/11.6M [00:00<00:00, 112MiB/s] Downloading raw matrix: 100%|██████████| 13.4M/13.4M [00:00<00:00, 115MiB/s] Downloading spatial: 100%|██████████| 8.78M/8.78M [00:00<00:00, 111MiB/s] Downloading metrics: 100%|██████████| 945/945 [00:00<00:00, 19.3MiB/s] Downloading web summary: 7.29MiB [00:00, 13.7MiB/s] >>> adata = do.io.read_visium("/Users/david/Library/Caches/dotools_datasets/visium") >>> adata AnnData object with n_obs × n_vars = 4247 × 36601 obs: 'in_tissue', 'array_row', 'array_col' var: 'gene_ids', 'feature_types', 'genome' uns: 'spatial' obsm: 'spatial'