Flask-Plots is a library for creating and rendering static visualizations using Matplotlib in Python.
Python 3.8+
- matplotlib(>=3.4.0) for plots management
- Flask(>=2.0.2) for build the backend.
You can install via pip:
$> pip install Flask-PlotsFor development, clone the official github repository instead and use:
$ 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.txtWith Flask-Plots you can instance the Plots object and document your endpoints.
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)- Ferreira, Juan David
Please submit bug reports, suggestions for improvements and patches via the (E-mail: juandavid9a0@gmail.com).
Thank you to Juan B. Cabral, and Martin Chalela for his teachings during Curso doctoral FAMAF: Diseño de software para cómputo científico, from which this library is based.
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 file
for details.
