https://github.com/advestis/adadjust

Package allowing to fit any mathematical function to (for now 1-D only) data.
https://github.com/advestis/adadjust

data-analysis fit python

Last synced: about 1 month ago
JSON representation

Package allowing to fit any mathematical function to (for now 1-D only) data.

• Host: GitHub
• URL: https://github.com/advestis/adadjust
• Owner: Advestis
• License: gpl-3.0
• Created: 2021-12-07T09:24:33.000Z (about 3 years ago)
• Default Branch: master
• Last Pushed: 2022-07-18T15:04:42.000Z (over 2 years ago)
• Last Synced: 2024-12-20T15:19:15.689Z (2 months ago)
• Topics: data-analysis, fit, python
• Language: Python
• Homepage: https://advestis.github.io/adadjust/
• Size: 362 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
[![doc](https://img.shields.io/badge/-Documentation-blue)](https://advestis.github.io/adadjust)

[![License: GPL v3](https://img.shields.io/badge/License-GPL%20v3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)

#### Status

[![pytests](https://github.com/Advestis/adadjust/actions/workflows/pull-request.yml/badge.svg)](https://github.com/Advestis/adadjust/actions/workflows/pull-request.yml)

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#### Compatibilities

![ubuntu](https://img.shields.io/badge/Ubuntu-supported--tested-success)

![unix](https://img.shields.io/badge/Other%20Unix-supported--untested-yellow)

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##### Contact

[![linkedin](https://img.shields.io/badge/LinkedIn-Advestis-blue)](https://www.linkedin.com/company/advestis/)

[![website](https://img.shields.io/badge/website-Advestis.com-blue)](https://www.advestis.com/)

[![mail](https://img.shields.io/badge/mail-maintainers-blue)](mailto:[email protected])

# AdAdjust

Package allowing to fit any mathematical function to (for now 1-D only) data.

## Installation

```bash

pip install adadjust

```

## Usage

```python

from adadjust import Function

import numpy as np

import matplotlib.pyplot as plt

plt.rcParams.update({"text.usetex": True})  # Needs texlive installed

nsamples = 1000

a = 0.3

b = -10

xstart = 0

xend = 1

noise = 0.01

x = np.linspace(xstart, xend, nsamples)

y = a * x ** 2 + b + np.random.normal(0, noise, nsamples)

def linfunc(xx, p):

    return xx * p[0] + p[1]

def square(xx, p):

    return xx ** 2 * p[0] + p[1]

func = Function(linfunc, "$a \\times p[0] + p[1]$")

func2 = Function(square, "$a^2 \\times p[0] + p[1]$")

params = func.fit(x, y, np.array([0, 0]))[0]

rr = func.compute_rsquared(x, y, params)

params2 = func2.fit(x, y, np.array([0, 0]))[0]

rr2 = func2.compute_rsquared(x, y, params2)

table = Function.make_table(

    [func, func2], [params, params2], [rr, rr2], caption="Linear and Square fit", path_output="table.pdf"

)

table.compile()

Function.plot(x, [func, func2], [params, params2], y=y, rsquared=[rr, rr2])

plt.gcf().savefig("plot.pdf")

```

**NOTE** : to have pretty gaphs, put the line `plt.rcParams.update({"text.usetex": True})` just after you imported adadjust.

This requiers that you have TexLive full installed on your computer.

The result will be :

![Alt text](tests/data/plot.png)