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Revision 1844b9138ca898d4c8f0e6d9ac30e90217a6e978 authored by Luke Zappia on 12 August 2022, 09:35:06 UTC, committed by GitHub on 12 August 2022, 09:35:06 UTC 
Add check for number of normalized dispersions (#2231)
 
* Add check for number of normalized dispersions

In sc.pp.highly_variable_genes() when flavor='cell_ranger' and
n_top_genes is set check that enough normalized dispersions have been
calculated and if not raise a warning and set n_top_genes to the number
of calculated dispersions.

Fixes #2230

* Use .size instead of len()

* Add test for n_top_genes warning

* Add release note

* Remove blank line

Co-authored-by: Isaac Virshup <ivirshup@gmail.com>
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README.md 
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# Scanpy – Single-Cell Analysis in Python

Scanpy is a scalable toolkit for analyzing single-cell gene expression data
built jointly with [anndata](https://anndata.readthedocs.io).  It includes
preprocessing, visualization, clustering, trajectory inference and differential
expression testing.  The Python-based implementation efficiently deals with
datasets of more than one million cells.

Discuss usage on the scverse [Discourse]. Read the [documentation].
If you'd like to contribute by opening an issue or creating a pull request, please take a look at our [contributing guide].
If Scanpy is useful for your research, consider citing [Genome Biology (2018)].

[contributing guide]: CONTRIBUTING.md
[discourse]: https://discourse.scverse.org/
[documentation]: https://scanpy.readthedocs.io
[genome biology (2018)]: https://doi.org/10.1186/s13059-017-1382-0
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