Annotated data.
Project description
anndata - Annotated data
anndata is a Python package for handling annotated data matrices in memory and on disk, positioned between pandas and xarray. anndata offers a broad range of computationally efficient features including, among others, sparse data support, lazy operations, and a PyTorch interface.
- Discuss development on GitHub.
- Read the documentation.
- Ask questions on the scverse Discourse.
- Install via
pip install anndataorconda install anndata -c conda-forge. - See Scanpy's documentation for usage related to single cell data. anndata was initially built for Scanpy.
anndata is part of the scverse project (website, governance) and is fiscally sponsored by NumFOCUS. Please consider making a tax-deductible donation to help the project pay for developer time, professional services, travel, workshops, and a variety of other needs.
Citation
If you use anndata in your work, please cite the anndata pre-print as follows:
anndata: Annotated data
Isaac Virshup, Sergei Rybakov, Fabian J. Theis, Philipp Angerer, F. Alexander Wolf
bioRxiv 2021 Dec 19. doi: 10.1101/2021.12.16.473007.
You can cite the scverse publication as follows:
The scverse project provides a computational ecosystem for single-cell omics data analysis
Isaac Virshup, Danila Bredikhin, Lukas Heumos, Giovanni Palla, Gregor Sturm, Adam Gayoso, Ilia Kats, Mikaela Koutrouli, Scverse Community, Bonnie Berger, Dana Pe’er, Aviv Regev, Sarah A. Teichmann, Francesca Finotello, F. Alexander Wolf, Nir Yosef, Oliver Stegle & Fabian J. Theis
Nat Biotechnol. 2023 Apr 10. doi: 10.1038/s41587-023-01733-8.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file anndata-0.10.1.tar.gz.
File metadata
- Download URL: anndata-0.10.1.tar.gz
- Upload date:
- Size: 158.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9432c4831c94646113797cb1cfdae193f8a7a7db41d182cfa503cc8d0ab9f0ce |
|
| MD5 | 37ea9baf138697e619092872ff41f983 |
|
| BLAKE2b-256 | 5482527adbb580abd0b0a832b49c56bf6fe5a1081c93e17d2d99e76b8bb9efaa |
File details
Details for the file anndata-0.10.1-py3-none-any.whl.
File metadata
- Download URL: anndata-0.10.1-py3-none-any.whl
- Upload date:
- Size: 118.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 6daa5dfd003328fda44dec077c4c7f008dc9d252eb3c91da6a1ec7fdc42d1d0c |
|
| MD5 | 2809485242d3ba0ca156dca30f2ac6e0 |
|
| BLAKE2b-256 | de0092e332708619832624f48e72d23d6c57aa53c79a02685e085d8e04f878f4 |
