Sample.split

Sample.split(row: Union[str, Sequence] = 'sample_name') → List[missionbio.mosaic.sample.Sample]

Split the sample by the given row attribute.

Certain visualizations are only available for SampleGroup objects. Since those visualizations are only applicable for multi-sample analysis. If those have to be created for a single sample assay, the following can be done.

>>> import missionbio.mosaic as ms
>>> sample = ms.load_example_dataset("3 cell mix")
>>> samples = sample.split("label")  # List of 4 samples for each `label`
>>> ms.SampleGroup(samples)
Group of 4 samples

Parameters

row:

The row attribute by which to split. If a string is provided, the row attribute must be present in all the assays, and its value must be the same in all of them.

Returns

List:

samples for each unique value in the row attribute

Raises

KeyError:

If row attribute is not present in one of the assays

ValueError:

If row attribute does not match across all assays