PyThea


NamePyThea JSON
Version 0.14.0 PyPI version JSON
download
home_pagehttps://github.com/AthKouloumvakos/PyThea
SummaryPyThea: A software package to reconstruct the 3D structure of CMEs and shock waves
upload_time2024-10-21 18:14:58
maintainerNone
docs_urlNone
authorAthanasios Kouloumvakos
requires_python<3.11,>=3.8
licenseGPL-3.0
keywords science solar physics solar sun shock waves
VCS
bugtrack_url
requirements numpy pandas scipy aiapy astropy astroquery jplephem numexpr sunpy sunpy_soar parfive pooch matplotlib seaborn streamlit Pillow lxml zeep drms tqdm pyvista pytest-astropy pytest-sugar pytest-mpl
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # PyThea: A software package to reconstruct the 3D structure of CMEs and shock waves

[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/)
[![Version](https://img.shields.io/github/v/release/AthKouloumvakos/PyThea)](https://github.com/AthKouloumvakos/PyThea/releases)
[![Release Date](https://img.shields.io/github/release-date/AthKouloumvakos/PyThea)](https://github.com/AthKouloumvakos/PyThea/releases)
[![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
![flake8](https://github.com/AthKouloumvakos/PyThea/actions/workflows/flake8.yml/badge.svg)
![pytest](https://github.com/AthKouloumvakos/PyThea/actions/workflows/pytest.yml/badge.svg)

_PyThea_ is an open-source software package that can be used to reconstruct the 3D structure of Coronal Mass Ejections (CMEs) and shock waves and determine their kinematics using remote-sensing observations. The tool implements the Graduated Cylindrical Shell (GCS) model that can be used to reconstruct CMEs and two geometrical models, namely a spheroid and ellipsoid model to reconstruct shock waves. It also implements remote-sensing observations from multiple viewpoints such as the Solar and Heliospheric Observatory (SoHO) and Solar Terrestrial Relations Observatory (STEREO).

## 💾 Installation

We recommend, creating a virtual environment for _PyThea_ and installing the package from PyPI using ```pip```.

If you use Anaconda or Miniconda (which we also recommend) you can create a virtual environment using ```conda``` and then install _PyThea_ using from PyPI using ```pip```. In the terminal do the following:

```python
# Create a virtual environment. Use python>3.9
conda create --name PyThea python=3.10

# Activate the environment
conda activate PyThea

# install the required packages using pip3
pip3 install PyThea

# Run locally the application with streamlit (see also the section "Run locally the PyThea application" )
PyThea streamlit

# When you are done you can deactivate the virtual environment
conda deactivate
```

If ```conda``` is not your favorite way of creating a virtual environment in python, then you can manually create it and install _PyThea_ with ```pip``` as previously shown. For example, you can do the following:

```python
# Create a virtual environment.
python3 -m venv PyThea

# Activate the environment
source PyThea/bin/activate

# install the required packages using pip3
pip3 install PyThea

# Run locally the application with streamlit (see also the section "Run locally the PyThea application" )
PyThea streamlit

# When you are done you can deactivate the virtual environment
deactivate
```

At the directory where the terminal is open, this method will create a folder named ```/PyThea``` and install _PyThea_ and all the required packages inside.

### ⬆️ Update

To update the package to the latest version activate the environment first and then:

```python
# Update _PyThea_ using pip3
pip3 install PyThea -U
```

One way to see witch version is installed in your environment is to open a python session and do:
```python
import PyThea
PyThea.__version__
```
You can also see the verion used and the latest version on the main page of the application.

## 🐾 Run locally the _PyThea_ application

After installing _PyThea_ software package you can run the application using the terminal.

If the environment is not active then use ```conda activate PyThea``` or ```source PyThea/bin/activate``` to activate this and then run _PyThea_ with

```
PyThea streamlit
```

The application should now open in the default browser!

Deactivate the environment when you finish.

If there is an error when running ```PyThea streamlit``` then you can manually run PyThea following these steps:

1) Locate where PyThea_app.py have been instaled. This is usually inside the anaconda3 enviroment folder. For example here ```~/opt/anaconda3/envs/PyThea/lib/python3.9/site-packages/PyThea```

2) Then run the PyThea_app.py using: ```streamlit run <PyTheaRootDir>/PyThea_app.py``` replacing  \<PyTheaRootDir\> with your path first.

## 📙 Usage

Complete documentation of the _PyThea_ can be found in [https://www.pythea.org/](https://www.pythea.org/).

## 📦 Useful Python packages

- [SunPy](https://sunpy.org/): The community-developed, free and open-source solar data analysis environment for Python.
- [AstroPy](https://www.astropy.org/): The Astropy Project is a community effort to develop a single core package for Astronomy in Python.
- [gcs_python](https://github.com/johan12345/gcs_python/): An implementation of the Graduated Cylindrical Shell model in python.

## 📜 Acknowledging or Citing PyThea [![https://www.frontiersin.org/articles/10.3389/fspas.2022.974137/](https://img.shields.io/static/v1?label=Paper&message=Frontiers&color=red)](https://www.frontiersin.org/articles/10.3389/fspas.2022.974137/) [![https://doi.org/10.5281/zenodo.5713659](https://zenodo.org/badge/DOI/10.5281/zenodo.5713659.svg)](https://doi.org/10.5281/zenodo.5713659)

If you use _PyThea_ for scientific work or research presented in a publication, please mention it in the main text and cite _PyThea_ paper (see [Paper](https://www.frontiersin.org/articles/10.3389/fspas.2022.974137/) or ADS). Additionally, add in the methods or acknowledgements section the following: "This research has made use of PyThea v?.?.?, an open-source and free Python package to reconstruct the 3D structure of CMEs and shock waves (Zenodo: [https://doi.org/10.5281/zenodo.5713659](https://doi.org/10.5281/zenodo.5713659))." and changing the v?.?.? to the version you have used. To acknowledge _PyThea_ in posters or talks include the project [logo](https://github.com/AthKouloumvakos/PyThea/blob/master/docs/logo/pythea_logo.png) or [icon](https://github.com/AthKouloumvakos/PyThea/blob/master/docs/logo/pythea_icon.png). _PyThea_ has a strong dependency on SunPy and AstroPy Python packages, consider citing these packages as well.

## ⓘ The mythology of Thea:

In Greek mythology, Thea, also called Euryphaessa "wide-shining", is the Titaness of sight and the shining light of the clear blue sky. Her brother/consort is Hyperion, a Titan and god of the sun, and together they are the parents of Helios (the Sun), Selene (the Moon), and Eos (the Dawn).

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/AthKouloumvakos/PyThea",
    "name": "PyThea",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<3.11,>=3.8",
    "maintainer_email": null,
    "keywords": "science, solar physics, solar, sun, shock waves",
    "author": "Athanasios Kouloumvakos",
    "author_email": "athkouloumvakos@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/0b/61/2ea8dde3d4f1542e81672255c504f64330c34e968941a20e597808ad67cd/PyThea-0.14.0.tar.gz",
    "platform": "any",
    "description": "# PyThea: A software package to reconstruct the 3D structure of CMEs and shock waves\n\n[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/)\n[![Version](https://img.shields.io/github/v/release/AthKouloumvakos/PyThea)](https://github.com/AthKouloumvakos/PyThea/releases)\n[![Release Date](https://img.shields.io/github/release-date/AthKouloumvakos/PyThea)](https://github.com/AthKouloumvakos/PyThea/releases)\n[![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)\n![flake8](https://github.com/AthKouloumvakos/PyThea/actions/workflows/flake8.yml/badge.svg)\n![pytest](https://github.com/AthKouloumvakos/PyThea/actions/workflows/pytest.yml/badge.svg)\n\n_PyThea_ is an open-source software package that can be used to reconstruct the 3D structure of Coronal Mass Ejections (CMEs) and shock waves and determine their kinematics using remote-sensing observations. The tool implements the Graduated Cylindrical Shell (GCS) model that can be used to reconstruct CMEs and two geometrical models, namely a spheroid and ellipsoid model to reconstruct shock waves. It also implements remote-sensing observations from multiple viewpoints such as the Solar and Heliospheric Observatory (SoHO) and Solar Terrestrial Relations Observatory (STEREO).\n\n## \ud83d\udcbe Installation\n\nWe recommend, creating a virtual environment for _PyThea_ and installing the package from PyPI using ```pip```.\n\nIf you use Anaconda or Miniconda (which we also recommend) you can create a virtual environment using ```conda``` and then install _PyThea_ using from PyPI using ```pip```. In the terminal do the following:\n\n```python\n# Create a virtual environment. Use python>3.9\nconda create --name PyThea python=3.10\n\n# Activate the environment\nconda activate PyThea\n\n# install the required packages using pip3\npip3 install PyThea\n\n# Run locally the application with streamlit (see also the section \"Run locally the PyThea application\" )\nPyThea streamlit\n\n# When you are done you can deactivate the virtual environment\nconda deactivate\n```\n\nIf ```conda``` is not your favorite way of creating a virtual environment in python, then you can manually create it and install _PyThea_ with ```pip``` as previously shown. For example, you can do the following:\n\n```python\n# Create a virtual environment.\npython3 -m venv PyThea\n\n# Activate the environment\nsource PyThea/bin/activate\n\n# install the required packages using pip3\npip3 install PyThea\n\n# Run locally the application with streamlit (see also the section \"Run locally the PyThea application\" )\nPyThea streamlit\n\n# When you are done you can deactivate the virtual environment\ndeactivate\n```\n\nAt the directory where the terminal is open, this method will create a folder named ```/PyThea``` and install _PyThea_ and all the required packages inside.\n\n### \u2b06\ufe0f Update\n\nTo update the package to the latest version activate the environment first and then:\n\n```python\n# Update _PyThea_ using pip3\npip3 install PyThea -U\n```\n\nOne way to see witch version is installed in your environment is to open a python session and do:\n```python\nimport PyThea\nPyThea.__version__\n```\nYou can also see the verion used and the latest version on the main page of the application.\n\n## \ud83d\udc3e Run locally the _PyThea_ application\n\nAfter installing _PyThea_ software package you can run the application using the terminal.\n\nIf the environment is not active then use ```conda activate PyThea``` or ```source PyThea/bin/activate``` to activate this and then run _PyThea_ with\n\n```\nPyThea streamlit\n```\n\nThe application should now open in the default browser!\n\nDeactivate the environment when you finish.\n\nIf there is an error when running ```PyThea streamlit``` then you can manually run PyThea following these steps:\n\n1) Locate where PyThea_app.py have been instaled. This is usually inside the anaconda3 enviroment folder. For example here ```~/opt/anaconda3/envs/PyThea/lib/python3.9/site-packages/PyThea```\n\n2) Then run the PyThea_app.py using: ```streamlit run <PyTheaRootDir>/PyThea_app.py``` replacing  \\<PyTheaRootDir\\> with your path first.\n\n## \ud83d\udcd9 Usage\n\nComplete documentation of the _PyThea_ can be found in [https://www.pythea.org/](https://www.pythea.org/).\n\n## \ud83d\udce6 Useful Python packages\n\n- [SunPy](https://sunpy.org/): The community-developed, free and open-source solar data analysis environment for Python.\n- [AstroPy](https://www.astropy.org/): The Astropy Project is a community effort to develop a single core package for Astronomy in Python.\n- [gcs_python](https://github.com/johan12345/gcs_python/): An implementation of the Graduated Cylindrical Shell model in python.\n\n## \ud83d\udcdc Acknowledging or Citing PyThea [![https://www.frontiersin.org/articles/10.3389/fspas.2022.974137/](https://img.shields.io/static/v1?label=Paper&message=Frontiers&color=red)](https://www.frontiersin.org/articles/10.3389/fspas.2022.974137/) [![https://doi.org/10.5281/zenodo.5713659](https://zenodo.org/badge/DOI/10.5281/zenodo.5713659.svg)](https://doi.org/10.5281/zenodo.5713659)\n\nIf you use _PyThea_ for scientific work or research presented in a publication, please mention it in the main text and cite _PyThea_ paper (see [Paper](https://www.frontiersin.org/articles/10.3389/fspas.2022.974137/) or ADS). Additionally, add in the methods or acknowledgements section the following: \"This research has made use of PyThea v?.?.?, an open-source and free Python package to reconstruct the 3D structure of CMEs and shock waves (Zenodo: [https://doi.org/10.5281/zenodo.5713659](https://doi.org/10.5281/zenodo.5713659)).\" and changing the v?.?.? to the version you have used. To acknowledge _PyThea_ in posters or talks include the project [logo](https://github.com/AthKouloumvakos/PyThea/blob/master/docs/logo/pythea_logo.png) or [icon](https://github.com/AthKouloumvakos/PyThea/blob/master/docs/logo/pythea_icon.png). _PyThea_ has a strong dependency on SunPy and AstroPy Python packages, consider citing these packages as well.\n\n## \u24d8 The mythology of Thea:\n\nIn Greek mythology, Thea, also called Euryphaessa \"wide-shining\", is the Titaness of sight and the shining light of the clear blue sky. Her brother/consort is Hyperion, a Titan and god of the sun, and together they are the parents of Helios (the Sun), Selene (the Moon), and Eos (the Dawn).\n",
    "bugtrack_url": null,
    "license": "GPL-3.0",
    "summary": "PyThea: A software package to reconstruct the 3D structure of CMEs and shock waves",
    "version": "0.14.0",
    "project_urls": {
        "Homepage": "https://github.com/AthKouloumvakos/PyThea"
    },
    "split_keywords": [
        "science",
        " solar physics",
        " solar",
        " sun",
        " shock waves"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "0b612ea8dde3d4f1542e81672255c504f64330c34e968941a20e597808ad67cd",
                "md5": "de4bac1fb941edf0dd1bd220825878f7",
                "sha256": "7ae2152fc855bab14519c6909a2e2c6af99dc12d3c2672b6ef7fdb7daf73f374"
            },
            "downloads": -1,
            "filename": "PyThea-0.14.0.tar.gz",
            "has_sig": false,
            "md5_digest": "de4bac1fb941edf0dd1bd220825878f7",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<3.11,>=3.8",
            "size": 73964,
            "upload_time": "2024-10-21T18:14:58",
            "upload_time_iso_8601": "2024-10-21T18:14:58.210522Z",
            "url": "https://files.pythonhosted.org/packages/0b/61/2ea8dde3d4f1542e81672255c504f64330c34e968941a20e597808ad67cd/PyThea-0.14.0.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-10-21 18:14:58",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "AthKouloumvakos",
    "github_project": "PyThea",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [
        {
            "name": "numpy",
            "specs": [
                [
                    "==",
                    "1.26.4"
                ]
            ]
        },
        {
            "name": "pandas",
            "specs": []
        },
        {
            "name": "scipy",
            "specs": []
        },
        {
            "name": "aiapy",
            "specs": []
        },
        {
            "name": "astropy",
            "specs": [
                [
                    "==",
                    "6.0.0"
                ]
            ]
        },
        {
            "name": "astroquery",
            "specs": []
        },
        {
            "name": "jplephem",
            "specs": []
        },
        {
            "name": "numexpr",
            "specs": []
        },
        {
            "name": "sunpy",
            "specs": [
                [
                    "==",
                    "5.1.2"
                ]
            ]
        },
        {
            "name": "sunpy_soar",
            "specs": []
        },
        {
            "name": "parfive",
            "specs": [
                [
                    "==",
                    "2.1.0"
                ]
            ]
        },
        {
            "name": "pooch",
            "specs": []
        },
        {
            "name": "matplotlib",
            "specs": []
        },
        {
            "name": "seaborn",
            "specs": []
        },
        {
            "name": "streamlit",
            "specs": []
        },
        {
            "name": "Pillow",
            "specs": []
        },
        {
            "name": "lxml",
            "specs": []
        },
        {
            "name": "zeep",
            "specs": []
        },
        {
            "name": "drms",
            "specs": []
        },
        {
            "name": "tqdm",
            "specs": []
        },
        {
            "name": "pyvista",
            "specs": []
        },
        {
            "name": "pytest-astropy",
            "specs": []
        },
        {
            "name": "pytest-sugar",
            "specs": []
        },
        {
            "name": "pytest-mpl",
            "specs": []
        }
    ],
    "lcname": "pythea"
}
        
Elapsed time: 0.54401s