hv_anndata.plotting.scanpy.scatter¶
- hv_anndata.plotting.scanpy.scatter(adata, /, kdims, vdims=(), *, color=None)¶
Shortcut for a scatter plot.
Basically just
>>> hv.Scatter(adata, kdims[0], [kdims[1], *vdims]).opts(aspect="square", ...)
If
coloris set, it’s both added tovdimsand in.opts(color=...).- Parameters:
- adata
AnnData The AnnData object.
- kdims
Collection[AdDim] A sequence containing the x and y dimension.
- vdims
Collection[AdDim], default:() The value dimensions (
colorwill be added automatically).- color
AdDim|None, default:None The color dimension.
- adata
- Return type:
- Returns:
A scatter plot object
Examples
import hv_anndata.plotting.scanpy as hv_sc from hv_anndata import data, register, A register() adata = data.pbmc68k_processed() hv_sc.scatter(adata, A.X[:, ["PSAP", "C1QA"]], color=A.obs["bulk_labels"]).opts( cmap="tab10", show_legend=False )
/home/docs/.local/share/hatch/env/virtual/hv-anndata/STk7F69l/docs/lib/python3.13/site-packages/numba/cpython/hashing.py:477: UserWarning: FNV hashing is not implemented in Numba. See PEP 456 https://www.python.org/dev/peps/pep-0456/ for rationale over not using FNV. Numba will continue to work, but hashes for built in types will be computed using siphash24. This will permit e.g. dictionaries to continue to behave as expected, however anything relying on the value of the hash opposed to hash as a derived property is likely to not work as expected. warnings.warn(msg)
import hv_anndata.plotting.scanpy as hv_sc from hv_anndata import data, register, A register() adata = data.pbmc68k_processed() hv_sc.scatter(adata, A.X[:, ["PSAP", "C1QA"]], color=A.obs["bulk_labels"]).opts( cmap="tab10", show_legend=False )
import hv_anndata.plotting.scanpy as hv_sc from hv_anndata import data, register, A register() adata = data.pbmc68k_processed() hv_sc.scatter(adata, A.X[:, ["PSAP", "C1QA"]], color=A.obs["bulk_labels"]).opts( cmap="tab10", show_legend=False )
WARNING:param.main: Option 'legend_position' for Scatter type not valid for selected backend ('plotly'). Option only applies to following backends: ['bokeh', 'matplotlib']