_Assay.ridgeplot

_Assay.ridgeplot#

missionbio.mosaic.assay._Assay.ridgeplot

_Assay.ridgeplot(attribute: Union[str, ndarray, DataFrame], splitby: Optional[Union[str, ndarray, DataFrame]] = None, features: Optional[Sequence] = None, title: str = '', labels: Optional[Sequence] = None)#

Ridge plot for all barcodes.

Parameters:
attributestr / np.ndarray

The attribute used to plot the values on the ridgeplot. Uses get_attribute() to retrieve the values. constrained by row.

splitbystr / np.ndarray

The values used to split and color the ridgeplot. Uses get_attribute() to retrieve the values. The shape must be (#cells).

  1. None

    The ridgeplot is not colored.

  2. Any 1D attribute

    In case ‘label’ is provided then the stored paltte is used. A discrete color map is used for all other cases.

featureslist-like

In the case that attribute is a layer then features sets the subset of features to plot. Otherwise, it sets the name of each feature shown.

titlestr

The title given to the plot after the name of the assay.

labels: list-like

The labels in splitby and the order in which these values are shown. If None, then the labels are shown in an arbitrary order.

Returns:
fig: plotly.graph_objects.Figure

< Class _Assay

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