psa-utils


Namepsa-utils JSON
Version 0.2.6 PyPI version JSON
download
home_page
SummaryA collection of PSA utilities
upload_time2024-01-10 21:26:48
maintainer
docs_urlNone
author
requires_python>=3.6
license
keywords pds pds4 archive data psa esa
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # psa_utils
A python package for working with the ESA Planetary Science Archive. The following sub-modules are available:
### download
Provides functions to help with downloading public data products using either PDAP or TAP

### packager
Provides a class to package PDS4 products for delivery to the PSA

### geogen
Provides useful utilities for working with the geogen geometry generator package

### tap
A wrapper of the astropy tap class with some convenience functions and useful queries

### pdap
A minimal wrapper of the PDAP API using the requests library

### common
Common functions used across the package

### internal
Anything contained here is designed for PSA internal use.


## Dependencies

The following dependencies must be met:
- python >=3.6
- matplotlib
- numpy
- astropy
- pandas
- pyyaml
- requests

## Installation

### pip

```pip install psa_utils```

should do the job, although creating a dedicated environment is recommended (see below).

### conda

First, clone this repository. If you are using conda, the dependencies can be installed in a new environment using the provided environment file:

```conda env create -f environment.yml```

The newly created environment can be activated with:

```conda activate psa_utils```

Otherwise, please make sure the dependencies are installed with your system package manager, or a tool like `pip`. Use of a conda environment or virtualenv is recommended!

The package can then be installed with:

```python setup.py install```




## URL

The URL for the PSA can be specified when instantiating the tap class. If none is given, a default URL is used, which corresponds to the default operational server.



## Example

The Jupyter notebook included with this repository shows examples of each function and module. Click [here](https://nbviewer.jupyter.org/github/msbentley/psa_utils/blob/main/psa_utils_demo.ipynb) to access the notebook!

            

Raw data

            {
    "_id": null,
    "home_page": "",
    "name": "psa-utils",
    "maintainer": "",
    "docs_url": null,
    "requires_python": ">=3.6",
    "maintainer_email": "",
    "keywords": "PDS,PDS4,archive,data,PSA,ESA",
    "author": "",
    "author_email": "",
    "download_url": "https://files.pythonhosted.org/packages/90/73/911d7eec772bc3f89dd111f618593cd87f5b27ed440a2ad3cd6cbd5735a5/psa_utils-0.2.6.tar.gz",
    "platform": null,
    "description": "# psa_utils\nA python package for working with the ESA Planetary Science Archive. The following sub-modules are available:\n### download\nProvides functions to help with downloading public data products using either PDAP or TAP\n\n### packager\nProvides a class to package PDS4 products for delivery to the PSA\n\n### geogen\nProvides useful utilities for working with the geogen geometry generator package\n\n### tap\nA wrapper of the astropy tap class with some convenience functions and useful queries\n\n### pdap\nA minimal wrapper of the PDAP API using the requests library\n\n### common\nCommon functions used across the package\n\n### internal\nAnything contained here is designed for PSA internal use.\n\n\n## Dependencies\n\nThe following dependencies must be met:\n- python >=3.6\n- matplotlib\n- numpy\n- astropy\n- pandas\n- pyyaml\n- requests\n\n## Installation\n\n### pip\n\n```pip install psa_utils```\n\nshould do the job, although creating a dedicated environment is recommended (see below).\n\n### conda\n\nFirst, clone this repository. If you are using conda, the dependencies can be installed in a new environment using the provided environment file:\n\n```conda env create -f environment.yml```\n\nThe newly created environment can be activated with:\n\n```conda activate psa_utils```\n\nOtherwise, please make sure the dependencies are installed with your system package manager, or a tool like `pip`. Use of a conda environment or virtualenv is recommended!\n\nThe package can then be installed with:\n\n```python setup.py install```\n\n\n\n\n## URL\n\nThe URL for the PSA can be specified when instantiating the tap class. If none is given, a default URL is used, which corresponds to the default operational server.\n\n\n\n## Example\n\nThe Jupyter notebook included with this repository shows examples of each function and module. Click [here](https://nbviewer.jupyter.org/github/msbentley/psa_utils/blob/main/psa_utils_demo.ipynb) to access the notebook!\n",
    "bugtrack_url": null,
    "license": "",
    "summary": "A collection of PSA utilities",
    "version": "0.2.6",
    "project_urls": null,
    "split_keywords": [
        "pds",
        "pds4",
        "archive",
        "data",
        "psa",
        "esa"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "03cb1eea71e7c7673fd4b68ecce611262fac795eafc0cd178c4496d9ce572c9d",
                "md5": "0ec65ec071e7c0571e3eb2e3d29daa73",
                "sha256": "8066242da239c03b291d062c0bd41ea0b18e280b108e9cb841e88870ba52406e"
            },
            "downloads": -1,
            "filename": "psa_utils-0.2.6-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "0ec65ec071e7c0571e3eb2e3d29daa73",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.6",
            "size": 35046,
            "upload_time": "2024-01-10T21:26:47",
            "upload_time_iso_8601": "2024-01-10T21:26:47.347107Z",
            "url": "https://files.pythonhosted.org/packages/03/cb/1eea71e7c7673fd4b68ecce611262fac795eafc0cd178c4496d9ce572c9d/psa_utils-0.2.6-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "9073911d7eec772bc3f89dd111f618593cd87f5b27ed440a2ad3cd6cbd5735a5",
                "md5": "5ce9f6f7395638a000ba9412e8f761ce",
                "sha256": "94fec6e9bfd46053b295e9b8cb0b161a769899f7ba80cee979d22897f2fb1a1d"
            },
            "downloads": -1,
            "filename": "psa_utils-0.2.6.tar.gz",
            "has_sig": false,
            "md5_digest": "5ce9f6f7395638a000ba9412e8f761ce",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.6",
            "size": 32552,
            "upload_time": "2024-01-10T21:26:48",
            "upload_time_iso_8601": "2024-01-10T21:26:48.428616Z",
            "url": "https://files.pythonhosted.org/packages/90/73/911d7eec772bc3f89dd111f618593cd87f5b27ed440a2ad3cd6cbd5735a5/psa_utils-0.2.6.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-01-10 21:26:48",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "psa-utils"
}
        
Elapsed time: 0.15911s