arctix


Namearctix JSON
Version 0.0.8 PyPI version JSON
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home_pagehttps://github.com/durandtibo/arctix
SummaryNone
upload_time2024-10-26 23:25:26
maintainerNone
docs_urlNone
authorThibaut Durand
requires_python<3.14,>=3.9
licenseBSD-3-Clause
keywords asynchronous time-series dataset preprocessing
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # arctix

<p align="center">
    <a href="https://github.com/durandtibo/arctix/actions">
        <img alt="CI" src="https://github.com/durandtibo/arctix/workflows/CI/badge.svg">
    </a>
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        <img alt="Nightly Tests" src="https://github.com/durandtibo/arctix/workflows/Nightly%20Tests/badge.svg">
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        <img alt="Nightly Package Tests" src="https://github.com/durandtibo/arctix/workflows/Nightly%20Package%20Tests/badge.svg">
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    <br/>
    <a href="https://durandtibo.github.io/arctix/">
        <img alt="Documentation" src="https://github.com/durandtibo/arctix/workflows/Documentation%20(stable)/badge.svg">
    </a>
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        <img alt="Documentation" src="https://github.com/durandtibo/arctix/workflows/Documentation%20(unstable)/badge.svg">
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    <a href="https://codecov.io/gh/durandtibo/arctix">
        <img alt="Codecov" src="https://codecov.io/gh/durandtibo/arctix/branch/main/graph/badge.svg">
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        <img src="https://api.codeclimate.com/v1/badges/61b8574ea18ecf106dce/maintainability" />
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    <a href="https://codeclimate.com/github/durandtibo/arctix/test_coverage">
        <img src="https://api.codeclimate.com/v1/badges/61b8574ea18ecf106dce/test_coverage" />
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        <img  alt="Downloads" src="https://static.pepy.tech/badge/arctix">
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        <img  alt="Monthly downloads" src="https://static.pepy.tech/badge/arctix/month">
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</p>

## Overview

The `arctix` package consists of functionalities to prepare dataset of asynchronous time series.
It is design to make dataset preparation reusable and reproducible.
For each dataset, `arctix` provides 3 main functions:

- `fetch_data` to load the raw data are loaded in
  a [`polars.DataFrame`](https://docs.pola.rs/py-polars/html/reference/dataframe/index.html). When
  possible, it downloads automatically the data.
- `prepare_data` to prepare the data. It outputs the prepared data
  in [`polars.DataFrame`](https://docs.pola.rs/py-polars/html/reference/dataframe/index.html), and
  the metadata.
- `to_array` to convert the prepared data to a dictionary of numpy arrays.

For example, it is possible to use the following lines to download and prepare the MultiTHUMOS data.

```pycon

>>> from pathlib import Path
>>> from arctix.dataset.multithumos import fetch_data, prepare_data, to_array
>>> dataset_path = Path("/path/to/dataset/multithumos")
>>> data_raw = fetch_data(dataset_path)  # doctest: +SKIP
>>> data, metadata = prepare_data(data_raw)  # doctest: +SKIP
>>> arrays = to_array(data)  # doctest: +SKIP

```

- [Documentation](https://durandtibo.github.io/arctix/)
- [Installation](#installation)
- [Contributing](#contributing)
- [API stability](#api-stability)
- [License](#license)

## Documentation

- [latest (stable)](https://durandtibo.github.io/arctix/): documentation from the latest stable
  release.
- [main (unstable)](https://durandtibo.github.io/arctix/main/): documentation associated to the
  main branch of the repo. This documentation may contain a lot of work-in-progress/outdated/missing
  parts.

## Installation

We highly recommend installing
a [virtual environment](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/).
`arctix` can be installed from pip using the following command:

```shell
pip install arctix
```

To make the package as slim as possible, only the minimal packages required to use `arctix` are
installed.
To include all the packages, you can use the following command:

```shell
pip install arctix[all]
```

Please check the [get started page](https://durandtibo.github.io/arctix/get_started) to see how to
install only some specific packages or other alternatives to install the library.
The following is the corresponding `karbonn` versions and dependencies.

| `batcharray` | `batcharray`   | `coola`        | `iden`           | `numpy`       | `polars`        | `python`      |
|--------------|----------------|----------------|------------------|---------------|-----------------|---------------|
| `main`       | `>=0.1,<1.0`   | `>=0.8.4,<1.0` | `">=0.1,<1.0"`   | `>=1.22,<3.0` | `>=1.0,<2.0`    | `>=3.9,<3.14` |
| `0.0.8`      | `>=0.1,<1.0`   | `>=0.8.4,<1.0` | `">=0.1,<1.0"`   | `>=1.22,<3.0` | `>=1.0,<2.0`    | `>=3.9,<3.14` |
| `0.0.7`      | `>=0.0.2,<1.0` | `>=0.3,<1.0`   | `">=0.0.3,<1.0"` | `>=1.22,<3.0` | `>=1.0,<2.0`    | `>=3.9,<3.13` |
| `0.0.6`      | `>=0.0.2,<0.1` | `>=0.3,<1.0`   | `">=0.0.3,<1.0"` | `>=1.22,<2.0` | `>=0.20.0,<1.0` | `>=3.9,<3.13` |
| `0.0.5`      | `>=0.0.2,<0.1` | `>=0.3,<1.0`   | `">=0.0.3,<1.0"` | `>=1.22,<2.0` | `>=0.20.0,<1.0` | `>=3.9,<3.13` |
| `0.0.4`      | `>=0.0.2,<0.1` | `>=0.3,<1.0`   | `">=0.0.3,<1.0"` | `>=1.22,<2.0` | `>=0.20.0,<1.0` | `>=3.9,<3.13` |
| `0.0.3`      | `>=0.0.2,<0.1` | `>=0.3,<1.0`   | `">=0.0.3,<1.0"` | `>=1.22,<2.0` | `>=0.20.0,<1.0` | `>=3.9,<3.13` |

## Contributing

Please check the instructions in [CONTRIBUTING.md](.github/CONTRIBUTING.md).

## API stability

:warning: While `arctix` is in development stage, no API is guaranteed to be stable from one
release to the next.
In fact, it is very likely that the API will change multiple times before a stable 1.0.0 release.
In practice, this means that upgrading `arctix` to a new version will possibly break any code that
was using the old version of `arctix`.

## License

`arctix` is licensed under BSD 3-Clause "New" or "Revised" license available in [LICENSE](LICENSE)
file.

            

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When\n  possible, it downloads automatically the data.\n- `prepare_data` to prepare the data. It outputs the prepared data\n  in [`polars.DataFrame`](https://docs.pola.rs/py-polars/html/reference/dataframe/index.html), and\n  the metadata.\n- `to_array` to convert the prepared data to a dictionary of numpy arrays.\n\nFor example, it is possible to use the following lines to download and prepare the MultiTHUMOS data.\n\n```pycon\n\n>>> from pathlib import Path\n>>> from arctix.dataset.multithumos import fetch_data, prepare_data, to_array\n>>> dataset_path = Path(\"/path/to/dataset/multithumos\")\n>>> data_raw = fetch_data(dataset_path)  # doctest: +SKIP\n>>> data, metadata = prepare_data(data_raw)  # doctest: +SKIP\n>>> arrays = to_array(data)  # doctest: +SKIP\n\n```\n\n- [Documentation](https://durandtibo.github.io/arctix/)\n- [Installation](#installation)\n- [Contributing](#contributing)\n- [API stability](#api-stability)\n- [License](#license)\n\n## Documentation\n\n- [latest (stable)](https://durandtibo.github.io/arctix/): documentation from the latest stable\n  release.\n- [main (unstable)](https://durandtibo.github.io/arctix/main/): documentation associated to the\n  main branch of the repo. This documentation may contain a lot of work-in-progress/outdated/missing\n  parts.\n\n## Installation\n\nWe highly recommend installing\na [virtual environment](https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/).\n`arctix` can be installed from pip using the following command:\n\n```shell\npip install arctix\n```\n\nTo make the package as slim as possible, only the minimal packages required to use `arctix` are\ninstalled.\nTo include all the packages, you can use the following command:\n\n```shell\npip install arctix[all]\n```\n\nPlease check the [get started page](https://durandtibo.github.io/arctix/get_started) to see how to\ninstall only some specific packages or other alternatives to install the library.\nThe following is the corresponding `karbonn` versions and dependencies.\n\n| `batcharray` | `batcharray`   | `coola`        | `iden`           | `numpy`       | `polars`        | `python`      |\n|--------------|----------------|----------------|------------------|---------------|-----------------|---------------|\n| `main`       | `>=0.1,<1.0`   | `>=0.8.4,<1.0` | `\">=0.1,<1.0\"`   | `>=1.22,<3.0` | `>=1.0,<2.0`    | `>=3.9,<3.14` |\n| `0.0.8`      | `>=0.1,<1.0`   | `>=0.8.4,<1.0` | `\">=0.1,<1.0\"`   | `>=1.22,<3.0` | `>=1.0,<2.0`    | `>=3.9,<3.14` |\n| `0.0.7`      | `>=0.0.2,<1.0` | `>=0.3,<1.0`   | `\">=0.0.3,<1.0\"` | `>=1.22,<3.0` | `>=1.0,<2.0`    | `>=3.9,<3.13` |\n| `0.0.6`      | `>=0.0.2,<0.1` | `>=0.3,<1.0`   | `\">=0.0.3,<1.0\"` | `>=1.22,<2.0` | `>=0.20.0,<1.0` | `>=3.9,<3.13` |\n| `0.0.5`      | `>=0.0.2,<0.1` | `>=0.3,<1.0`   | `\">=0.0.3,<1.0\"` | `>=1.22,<2.0` | `>=0.20.0,<1.0` | `>=3.9,<3.13` |\n| `0.0.4`      | `>=0.0.2,<0.1` | `>=0.3,<1.0`   | `\">=0.0.3,<1.0\"` | `>=1.22,<2.0` | `>=0.20.0,<1.0` | `>=3.9,<3.13` |\n| `0.0.3`      | `>=0.0.2,<0.1` | `>=0.3,<1.0`   | `\">=0.0.3,<1.0\"` | `>=1.22,<2.0` | `>=0.20.0,<1.0` | `>=3.9,<3.13` |\n\n## Contributing\n\nPlease check the instructions in [CONTRIBUTING.md](.github/CONTRIBUTING.md).\n\n## API stability\n\n:warning: While `arctix` is in development stage, no API is guaranteed to be stable from one\nrelease to the next.\nIn fact, it is very likely that the API will change multiple times before a stable 1.0.0 release.\nIn practice, this means that upgrading `arctix` to a new version will possibly break any code that\nwas using the old version of `arctix`.\n\n## License\n\n`arctix` is licensed under BSD 3-Clause \"New\" or \"Revised\" license available in [LICENSE](LICENSE)\nfile.\n",
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