cospar.pl.fate_potency¶
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cospar.pl.fate_potency(adata, source='transition_map', selected_times=None, background=True, show_histogram=False, auto_color_scale=True, color_bar=True, figure_index='', mask=None, color_map=<matplotlib.colors.LinearSegmentedColormap object>, **kwargs)¶ Plot fate potency.
The results should be pre-computed from
cospar.tl.fate_potency().- Parameters
- adata :
AnnDataobject Assume to contain transition maps at adata.uns.
- source : str
The transition map to be used for plotting: {‘transition_map’, ‘intraclone_transition_map’,…}. The actual available map depends on adata itself, which can be accessed at adata.uns[‘available_map’]
- selected_times : list, optional (default: all)
A list of time points to further restrict the cell states to plot. The default choice is not to constrain the cell states to show.
- background : bool, optional (default: True)
If true, plot all cell states (t1+t2) in grey as the background.
- show_histogram : bool, optional (default: False)
If true, show the distribution of inferred fate probability.
- color_bar : bool, optional (default: True)
plot the color bar if True.
- auto_color_scale
True: automatically rescale the color range to match the value range.
- figure_index : str, optional (default: ‘’)
String index for annotate filename for saved figures. Used to distinuigh plots from different conditions.
- mask : np.array, optional (default: None)
A boolean array for available cell states. It should has the length as adata.shape[0]. Especially useful to constrain the states to show fate bias.
- color_map
The color map (a matplotlib.pyplot.cm object) to visualize the result.
- adata :