| Name | danatools JSON |
| Version |
0.1.1
JSON |
| download |
| home_page | None |
| Summary | A bunch of convenient tools to analyze data |
| upload_time | 2024-03-31 02:21:07 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | MIT License Copyright (c) 2024 Diego Ravignani Guerrero Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
statistics
data
analysis
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# danatools
A bunch of convenient tools to analyze data. It provides some handy functions on top of NumPy, SciPy and Matplotlib to perform some frequent tasks.
## Install
```sh
python -m pip install danatools
```
## Features
* Calculate the root of the mean of the squares of an array
* Compute a profile histogram
* Save a figure to multiple formats and print their names
* Calculate the fit errors by propagating the parameter errors
* Calculate the coordinates of a confidence ellipse
* Estimate the bias of a parameter estimator
* Estimate the coverage of the confidence intervals
* Estimate the p-value of a chi-squared test
## How to use
```py
import danatools
```
## Contributing
If you'd like to contribute, please fork the repository and use a feature
branch. Pull requests are warmly welcome.
## Links
- Repository: https://github.com/ravignad/danatools/
## Licensing
The code in this project is licensed under MIT license.
Raw data
{
"_id": null,
"home_page": null,
"name": "danatools",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "statistics, data, analysis",
"author": null,
"author_email": "Diego Ravignani <diego.ravignani@gmail.com>",
"download_url": "https://files.pythonhosted.org/packages/80/a2/dd6ef10f0524446ec6d2c947198ff1951ef99133f60c63c5159369460129/danatools-0.1.1.tar.gz",
"platform": null,
"description": "# danatools\n\nA bunch of convenient tools to analyze data. It provides some handy functions on top of NumPy, SciPy and Matplotlib to perform some frequent tasks. \n\n## Install\n\n```sh\npython -m pip install danatools\n```\n\n## Features\n * Calculate the root of the mean of the squares of an array\n * Compute a profile histogram\n * Save a figure to multiple formats and print their names\n * Calculate the fit errors by propagating the parameter errors\n * Calculate the coordinates of a confidence ellipse\n * Estimate the bias of a parameter estimator\n * Estimate the coverage of the confidence intervals\n * Estimate the p-value of a chi-squared test\n\n## How to use\n\n```py\nimport danatools\n```\n\n## Contributing\nIf you'd like to contribute, please fork the repository and use a feature\nbranch. Pull requests are warmly welcome.\n\n## Links\n- Repository: https://github.com/ravignad/danatools/\n\n## Licensing\nThe code in this project is licensed under MIT license.\n\n",
"bugtrack_url": null,
"license": "MIT License Copyright (c) 2024 Diego Ravignani Guerrero Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the \"Software\"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED \"AS IS\", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ",
"summary": "A bunch of convenient tools to analyze data",
"version": "0.1.1",
"project_urls": {
"Homepage": "https://github.com/ravignad/danatools"
},
"split_keywords": [
"statistics",
" data",
" analysis"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "3abb6caccf388a6669fa98eaf54700444f22c82c4b54d306406bcc69eee4cda5",
"md5": "562e0028ff71807b487ca15844ede176",
"sha256": "a7c60aa0b0878bc0535be5b22246d7ae04e454cc9bbc563eeed7707f6cc2d601"
},
"downloads": -1,
"filename": "danatools-0.1.1-py3-none-any.whl",
"has_sig": false,
"md5_digest": "562e0028ff71807b487ca15844ede176",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.8",
"size": 5923,
"upload_time": "2024-03-31T02:21:06",
"upload_time_iso_8601": "2024-03-31T02:21:06.187793Z",
"url": "https://files.pythonhosted.org/packages/3a/bb/6caccf388a6669fa98eaf54700444f22c82c4b54d306406bcc69eee4cda5/danatools-0.1.1-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "80a2dd6ef10f0524446ec6d2c947198ff1951ef99133f60c63c5159369460129",
"md5": "299cf3bce6b03ec8526bdeaf55a43f31",
"sha256": "97d8e18b4eb7ef4ecde056e52d35e649f8dcf4c6a70307425b85e4519b51a628"
},
"downloads": -1,
"filename": "danatools-0.1.1.tar.gz",
"has_sig": false,
"md5_digest": "299cf3bce6b03ec8526bdeaf55a43f31",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.8",
"size": 5386,
"upload_time": "2024-03-31T02:21:07",
"upload_time_iso_8601": "2024-03-31T02:21:07.727555Z",
"url": "https://files.pythonhosted.org/packages/80/a2/dd6ef10f0524446ec6d2c947198ff1951ef99133f60c63c5159369460129/danatools-0.1.1.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-03-31 02:21:07",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "ravignad",
"github_project": "danatools",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "danatools"
}
