MDAnalysisData
Access to data for workshops and extended tests of MDAnalysis.
Data sets are stored at external stable URLs (e.g., on figshare, zenodo, or DataDryad) and this package provides a simple interface to download, cache, and access data sets.
Installation
To use, install the package
pip install --upgrade MDAnalysisData
or install with conda
conda install --channel conda-forge mdanalysisdata
Accessing data sets
Import the datasets and access your data set of choice:
from MDAnalysisData import datasets
adk = datasets.fetch_adk_equilibrium()
The returned object contains attributes with the paths to topology and trajectory files so that you can use it directly with, for instance, MDAnalysis:
import MDAnalysis as mda
u = mda.Universe(adk.topology, adk.trajectory)
The metadata object also contains a DESCR attribute with a
description of the data set, including relevant citations:
print(adk.DESCR)
Managing data
Data are locally stored in the data directory ~/MDAnalysis_data
(i.e., in the user's home directory). This location can be changed by
setting the environment variable MDANALYSIS_DATA, for instance
export MDANALYSIS_DATA=/tmp/MDAnalysis_data
The location of the data directory can be obtained with
MDAnalysisData.base.get_data_home()
If the data directory is removed then data are downloaded again. Data file integrity is checked with a SHA256 checksum when the file is downloaded.
The data directory can we wiped with the function
MDAnalysisData.base.clear_data_home()
Contributing new datasets
Please add new datasets to MDAnalysisData. See Contributing new datasets for details, but in short:
- raise an issue in the issue tracker describing what you want to add; this issue will become the focal point for discussions where the developers can easily give advice
- deposit data in an archive under an Open Data compatible license (CC0 or CC-BY preferred)
- write accessor code in MDAnalysisData
Credits
This package is modelled after
sklearn.datasets. It
uses code from sklearn.datasets (under the BSD 3-clause
license).
No data are included; please see the DESCR attribute for each data
set for authorship, citation, and license information for the data.
Metadata
Release files for MDAnalysisData 0.8.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| MDAnalysisData-0.8.1.tar.gz | 63.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| MDAnalysisData-0.8.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 101.0 kB
Release files / MDAnalysisData-0.8.1.tar.gz
| Download URL | MDAnalysisData-0.8.1.tar.gz |
|---|---|
| Size | 63.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
068dcc6d691b7be87b2afe8d0c1c37ba6c8c2940488ee06723954fc4547d6a58
|
|
BLAKE2b-256 checksum How to use checksums |
45d0f8e4bdc84aeba2bebc95e7fae8c1af2fbbfe201ea56238bb08c4a2c4db50
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/0.0.0 importlib_metadata/4.5.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.11
|
Release files / MDAnalysisData-0.8.1-py2.py3-none-any.whl
| Download URL | MDAnalysisData-0.8.1-py2.py3-none-any.whl |
|---|---|
| Size | 37.6 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
865c3d81943457c3904fcff1741f39e1bdc7b77cceac43737a545c60f3fb0854
|
|
BLAKE2b-256 checksum How to use checksums |
3a9c534af418006f191608f127459f518c23fde71ca1e22553aabe266ec5ab18
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/0.0.0 importlib_metadata/4.5.0 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.11
|