ehrapy.plot.dpt_timeseries#
- ehrapy.plot.dpt_timeseries(adata, color_map=None, as_heatmap=True, show=None, save=None)[source]#
Heatmap of pseudotime series.
- Parameters:
Examples
>>> import ehrapy as ep >>> import numpy as np >>> adata = ep.dt.mimic_2(encoded=True) >>> ep.pp.knn_impute(adata) >>> ep.pp.log_norm(adata, offset=1) >>> ep.pp.neighbors(adata, method="gauss") >>> ep.tl.leiden(adata, resolution=0.5, key_added="leiden_0_5") >>> ep.tl.diffmap(adata, n_comps=10) >>> adata.uns["iroot"] = np.flatnonzero(adata.obs["leiden_0_5"] == "0")[0] >>> ep.tl.dpt(adata, n_branchings=3) >>> ep.pl.dpt_timeseries(adata)
- Preview: