The Anomalous Diffusion (AnDi) Challenge Package
This package contains the necessary functions to generate datasets of trajectories for the Anomalous Diffusion (AnDi) Challenge.
Getting started
- Install the package using:
pip install andi-datasets
- Import the package in a Python3 environment using:
import andi
Available tools
There are two main classes in the ANDI package:
-
andi_datasets: creates and manages trajectory datasets. -
diffusion_models: contains various diffusion models from which create trajectories for various parameters in one, two and three dimensions.
For more details, please visit the hosting repository where you can find an example of use.
1 maintainer
Release files for andi-datasets 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| andi-datasets-0.0.5.tar.gz | 14.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| andi_datasets-0.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.6 kB
Release files / andi-datasets-0.0.5.tar.gz
| Download URL | andi-datasets-0.0.5.tar.gz |
|---|---|
| Size | 14.1 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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Release files / andi_datasets-0.0.5-py3-none-any.whl
| Download URL | andi_datasets-0.0.5-py3-none-any.whl |
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| Size | 15.6 kB |
| Tags | Python 3 |
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twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.5.0.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.3
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