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Such as the image below trajectories denoted by arrows.
Can be implemented in letsplot using. geom_curve()
geom_curve()
https://lets-plot.org/python/pages/api/lets_plot.geom_curve.html
The text was updated successfully, but these errors were encountered:
related reading: https://joynyaanga.com/post/ti/
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Velocity embedding calculation witihin
scv.pl.velocity_embedding_stream()
https://github.com/theislab/scvelo/blob/main/scvelo/plotting/velocity_embedding_stream.py#L128
scv.tools.velocity_embedding(adata, basis="umap")
this is an in-place operation that adds f"velocity_{basis}" key to obsm. "velocity_umap" in this case (umap is also the default value
adata.obsm.["velocity_*"] is a np.ndarray with dimensions of n_obs * 2.
adata.obsm.["velocity_*"]
np.ndarray
https://github.com/matplotlib/matplotlib/blob/v3.10.0/lib/matplotlib/streamplot.py
matplotlib has a stream plot that is not present in letsplot (closest is geom_curve)
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Such as the image below trajectories denoted by arrows.
Can be implemented in letsplot using.
geom_curve()
https://lets-plot.org/python/pages/api/lets_plot.geom_curve.html
The text was updated successfully, but these errors were encountered: