arpespythontools


Namearpespythontools JSON
Version 1.0.2 PyPI version JSON
download
home_pagehttps://pranabdas.github.io/arpespythontools/
SummaryExplore, analyze, visualize Angle Resolved Photoemission Spectroscopy (ARPES) data.
upload_time2024-10-06 10:39:23
maintainerNone
docs_urlNone
authorPranab Das
requires_python<4.0,>=3.8
licenseMIT
keywords python data-analysis matplotlib materials-science surface-science condensed-matter-physics photoelectron-spectroscopy arpes
VCS
bugtrack_url
requirements astropy matplotlib numpy psutil scipy
Travis-CI No Travis.
coveralls test coverage No coveralls.
            <h1 align="center">ARPES Python Tools</h1>

<p align="center">
  <a href="https://github.com/pranabdas/arpespythontools/actions/workflows/python-tests.yml"><img src="https://github.com/pranabdas/arpespythontools/actions/workflows/python-tests.yml/badge.svg" alt="Python tests status"></a>
  <a href="https://github.com/pranabdas/arpespythontools/actions/workflows/deploy-gh-pages.yml"><img src="https://github.com/pranabdas/arpespythontools/actions/workflows/deploy-gh-pages.yml/badge.svg" alt="Deploy gh-pages status"></a>
  <a href="https://github.com/pranabdas/arpespythontools/blob/master/LICENSE"><img src="https://img.shields.io/github/license/sourcerer-io/hall-of-fame.svg?colorB=A31F34"></a>
  <a href="https://github.com/pranabdas/arpespythontools/releases/latest"><img src="https://img.shields.io/github/v/release/pranabdas/arpespythontools.svg" alt="Latest Release"/></a>
</p>

This python library helps you load, analyze and visualize ARPES data.

## Quick start

Install latest stable version:
```console
pip install --upgrade arpespythontools
```

Import and start using:

```python
import arpespythontools as arp

data, energy, angle = arp.load_ses_spectra("sample_spectrum.txt")
data_k, e_bin, k = arp.k_conv(data, energy, angle, 16.67)
```

Please find the detailed documentation here:
<https://pranabdas.github.io/arpespythontools/>

## Development
Run tests locally:
```python
python3 -m unittest tests.py
```


            

Raw data

            {
    "_id": null,
    "home_page": "https://pranabdas.github.io/arpespythontools/",
    "name": "arpespythontools",
    "maintainer": null,
    "docs_url": null,
    "requires_python": "<4.0,>=3.8",
    "maintainer_email": null,
    "keywords": "python, data-analysis, matplotlib, materials-science, surface-science, condensed-matter-physics, photoelectron-spectroscopy, arpes",
    "author": "Pranab Das",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/0e/f0/424e2a22df90f2738baa87a84f960ad59acb02f218e737804b466130dba3/arpespythontools-1.0.2.tar.gz",
    "platform": null,
    "description": "<h1 align=\"center\">ARPES Python Tools</h1>\n\n<p align=\"center\">\n  <a href=\"https://github.com/pranabdas/arpespythontools/actions/workflows/python-tests.yml\"><img src=\"https://github.com/pranabdas/arpespythontools/actions/workflows/python-tests.yml/badge.svg\" alt=\"Python tests status\"></a>\n  <a href=\"https://github.com/pranabdas/arpespythontools/actions/workflows/deploy-gh-pages.yml\"><img src=\"https://github.com/pranabdas/arpespythontools/actions/workflows/deploy-gh-pages.yml/badge.svg\" alt=\"Deploy gh-pages status\"></a>\n  <a href=\"https://github.com/pranabdas/arpespythontools/blob/master/LICENSE\"><img src=\"https://img.shields.io/github/license/sourcerer-io/hall-of-fame.svg?colorB=A31F34\"></a>\n  <a href=\"https://github.com/pranabdas/arpespythontools/releases/latest\"><img src=\"https://img.shields.io/github/v/release/pranabdas/arpespythontools.svg\" alt=\"Latest Release\"/></a>\n</p>\n\nThis python library helps you load, analyze and visualize ARPES data.\n\n## Quick start\n\nInstall latest stable version:\n```console\npip install --upgrade arpespythontools\n```\n\nImport and start using:\n\n```python\nimport arpespythontools as arp\n\ndata, energy, angle = arp.load_ses_spectra(\"sample_spectrum.txt\")\ndata_k, e_bin, k = arp.k_conv(data, energy, angle, 16.67)\n```\n\nPlease find the detailed documentation here:\n<https://pranabdas.github.io/arpespythontools/>\n\n## Development\nRun tests locally:\n```python\npython3 -m unittest tests.py\n```\n\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Explore, analyze, visualize Angle Resolved Photoemission Spectroscopy (ARPES) data.",
    "version": "1.0.2",
    "project_urls": {
        "Documentation": "https://pranabdas.github.io/arpespythontools/docs/",
        "Homepage": "https://pranabdas.github.io/arpespythontools/",
        "Repository": "https://github.com/pranabdas/arpespythontools"
    },
    "split_keywords": [
        "python",
        " data-analysis",
        " matplotlib",
        " materials-science",
        " surface-science",
        " condensed-matter-physics",
        " photoelectron-spectroscopy",
        " arpes"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "1fed543251d3aa4483a9eaa89d5a57d69b030dd77a376930e44dee02c411699f",
                "md5": "c7085067fc1f43fa5a7028bf002f6ebd",
                "sha256": "b94c46a1fb876a0e34ef56545cd78c3d2e54125923e80e950174736f1e52ef76"
            },
            "downloads": -1,
            "filename": "arpespythontools-1.0.2-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "c7085067fc1f43fa5a7028bf002f6ebd",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": "<4.0,>=3.8",
            "size": 20216,
            "upload_time": "2024-10-06T10:39:21",
            "upload_time_iso_8601": "2024-10-06T10:39:21.961687Z",
            "url": "https://files.pythonhosted.org/packages/1f/ed/543251d3aa4483a9eaa89d5a57d69b030dd77a376930e44dee02c411699f/arpespythontools-1.0.2-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "0ef0424e2a22df90f2738baa87a84f960ad59acb02f218e737804b466130dba3",
                "md5": "fcb88d08ce9f5014d80102ec10e05546",
                "sha256": "75b9e2de9af7f4fc8ad2c8bea39599ec9a02f64645e4886d6a57116636cb3f85"
            },
            "downloads": -1,
            "filename": "arpespythontools-1.0.2.tar.gz",
            "has_sig": false,
            "md5_digest": "fcb88d08ce9f5014d80102ec10e05546",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": "<4.0,>=3.8",
            "size": 12167,
            "upload_time": "2024-10-06T10:39:23",
            "upload_time_iso_8601": "2024-10-06T10:39:23.492031Z",
            "url": "https://files.pythonhosted.org/packages/0e/f0/424e2a22df90f2738baa87a84f960ad59acb02f218e737804b466130dba3/arpespythontools-1.0.2.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-10-06 10:39:23",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "pranabdas",
    "github_project": "arpespythontools",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": true,
    "requirements": [
        {
            "name": "astropy",
            "specs": [
                [
                    ">=",
                    "5.2.2"
                ]
            ]
        },
        {
            "name": "matplotlib",
            "specs": [
                [
                    ">=",
                    "3.7.5"
                ]
            ]
        },
        {
            "name": "numpy",
            "specs": [
                [
                    ">=",
                    "1.24.4"
                ]
            ]
        },
        {
            "name": "psutil",
            "specs": [
                [
                    ">=",
                    "6.0.0"
                ]
            ]
        },
        {
            "name": "scipy",
            "specs": [
                [
                    ">=",
                    "1.9.3"
                ]
            ]
        }
    ],
    "lcname": "arpespythontools"
}
        
Elapsed time: 3.16095s