Metadata-Version: 2.1
Name: Flask-Plots
Version: 0.0.1
Summary: Implementation of Matplotlib in Flask
Home-page: https://github.com/juniors90/Flask-Plots
Author: Ferreira Juan David
Author-email: juandavid9a0@gmail.com
License: The MIT License
Project-URL: Source, https://github.com/juniors90/Flask-Plots
Project-URL: Tracker, https://github.com/juniors90/Flask-Plots/issues
Project-URL: Donate, https://www.paypal.com/donate?hosted_button_id=LFAQ7E7TJ4HSY
Project-URL: Funding, https://paypal.me/juniors90
Keywords: Flask,Matplotlib,Data Visualisation
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: Flask (>=2.0.2)
Requires-Dist: matplotlib (>=3.5.0)

# Flask-Plots

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[![black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![https://github.com/leliel12/diseno_sci_sfw](https://img.shields.io/badge/DiSoftCompCi-FAMAF-ffda00)](https://github.com/leliel12/diseno_sci_sfw)

Flask-Plots is a library for creating and rendering static visualizations using [Matplotlib](https://matplotlib.org/stable/index.html) in Python.


## Requirements

Python 3.8+

## Dependecies for this project.

- [matplotlib(>=3.4.0)](https://matplotlib.org/) for plots management
- [Flask(>=2.0.2)](https://flask.palletsprojects.com/en/2.0.x/) for build the backend.

## intallation

You can install via pip:

```cmd
    $> pip install Flask-Plots
```
   
For development, clone the [official github repository](https://github.com/juniors90/Flask-Plots) instead and use:

```cmd
    $ git clone git@github.com:juniors90/Flask-Plots.git
    $ cd Flask-Plots
    $ python3 -m venv venv
    $ source venv/bin/activate
    (venv) $ pip install -r requirements/dev.txt
```

## Quick start

With Flask-Plots you can instance the ``Plots`` object and document your endpoints.


```python
    from flask import Flask, render_template_string
    from flask_plots import Plots
    import matplotlib
    from matplotlib.figure import Figure
    import numpy as np
    
    app = Flask(__name__)
    plots = Plots(app)

    # routes
    @app.route("/")
    def bar():
        # Make data:
        countries = ["Argentina", "Brasil", "Colombia", "Chile"]
        peoples = [14, 40, 16, 24]
        # Plot:
        fig = Figure()
        ax = fig.subplots()
        ax = plots.bar(fig, countries, peoples)
        ax.set_title("Bar Chart")
        data = plots.get_data(fig)
        return render_template_string(
                """
                {% from 'plots/utils.html' import render_img %}
                {{ render_img(data=data, alt_img='my_img') }}
                """,
                data=data
            )

    if __name__ == "__main__":
        app.run(port=5000, debug=True)
```

## Links

- [Documentation](https://flask-plots.readthedocs.io)
- [Example Application](https://github.com/juniors90/Flask-Plots/tree/main/sample_app)
- [PyPI Releases](https://pypi.org/project/Flask-Plots/)
- [Changelog](https://github.com/juniors90/Flask-Plots/blob/main/CHANGELOG.rst)


## Authors

- Ferreira, Juan David

Please submit bug reports, suggestions for improvements and patches via
the (E-mail: juandavid9a0@gmail.com).

## Official repository and Issues

- https://github.com/juniors90/flask-Plots

## Acknowledgment

Thank you to Juan B. Cabral, and Martin Chalela for his teachings during [Curso doctoral FAMAF: Diseño de software para cómputo científico](https://github.com/leliel12/diseno_sci_sfw),
from which this library is based.

## License

`Flask-Plots` is free software you can redistribute it and/or modify it
under the terms of the MIT License. For more information, you can see the
[LICENSE](https://github.com/juniors90/Flask-Plots/blob/main/LICENSE) file
for details.


