| Name | itfit JSON |
| Version |
0.0.19
JSON |
| download |
| home_page | |
| Summary | Simple, intuitive and interactive application to help fitting common functions to your data |
| upload_time | 2023-02-11 22:34:15 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | >=3.8 |
| license | Apache License 2.0 |
| keywords |
fit
data
visual
analysis
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
<!-- Copyright 2023 Unai Lería Fortea & Pablo Vizcaíno García
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. -->
[](https://pypi.org/project/itfit/)
[](https://pypi.org/project/itfit/)
[](LICENSE)
[](https://github.com/QuanticPony/itfit/actions)
[](https://pypi.org/project/itfit/)
[](https://pypi.org/project/itfit/)
<br></br>
<h1 align="center">
Itfit
</h1>
<h2 align="center">
Interactive Fitter
</h2><br></br>
<h3 align="center">
Simple, intuitive and interactive application to help fitting common functions to your data.
</h3><br></br>
<div align="center">
<a href="https://quanticpony.github.io/itfit/">
<img src=https://img.shields.io/github/deployments/QuanticPony/itfit/github-pages?label=documentation>
</a>
<br></br>
</div>
<br></br>
```py
import matplotlib.pyplot as plt
import itfit
fitter = itfit.Fitter(xdata, ydata)
fitter()
plt.show()
```
<h3 align="center">
<img src="https://raw.githubusercontent.com/QuanticPony/itfit/master/docs/images/sample.gif" width="400" height="320" />
</h3>
```py
plot = fitter.default_plot_last_fit("x value", r"$\phi$ [s$^{-1}$]", "Itfit default plot")
plot.save_fig("figure.png")
```
<h3 align="center">
<img src="https://raw.githubusercontent.com/QuanticPony/itfit/master/docs/images/readme_figure.png" width="400" height="320" />
</h3>
# Instalation
Itfit releases are available as wheel packages on [PyPI](https://pypi.org/project/itfit/). You can install the last version using `pip`:
```
pip install itfit
```
# Documentation
Documentations is automatically generated from code on master push and hosted in github-pages [here](https://quanticpony.github.io/itfit/).
# Help
Just open an issue with the `question` tag ([or clic here](https://github.com/QuanticPony/itfit/issues/new?assignees=QuanticPony&labels=question&template=question.md&title=)) and we would love to help!
# Contributing
You can contribute with:
* Examples
* Documentation
* [Bug report/fix](https://github.com/QuanticPony/itfit/issues/new?assignees=QuanticPony&labels=bug&template=bug_report.md&title=)
* New fit functions
* [Features](https://github.com/QuanticPony/itfit/issues/new?assignees=QuanticPony&labels=new-feature&template=feature_request.md&title=)
* Code
Even only feedback is greatly apreciated.
Just create an issue and let us know you want to help!
# Licensing
**Itfit** is released under the **Apache License Version 2.0**.
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