koaning/fh-matplotlib - Githubissues

fh-matplotlib

Making it easier to show matplotlib charts in FastHTML.

Usage

You can install this tool by running:

python -m pip install fh-matplotlib

After this step, it is ready for use! At the moment this package merely contains a decorator. You can use it to wrap any function that generates a matplotlib chart in order for it to return an Img for FastHTML to render. In, short you would typically use it like this:

import numpy as np
import matplotlib.pylab as plt
from fh_matplotlib import matplotlib2fasthtml

# This function will return a proper Img that can be rendered
@matplotlib2fasthtml
def matplotlib_function():
    plt.plot(np.arange(25), np.random.exponential(1, size=25))

Want to see a full example that you could copy and paste directly?

```python from fh_matplotlib import matplotlib2fasthtml from fasthtml.common import * import numpy as np import matplotlib.pylab as plt app, rt = fast_app() count = 0 plotdata = [] @matplotlib2fasthtml def generate_chart(): global plotdata plt.plot(range(len(plotdata)), plotdata) @app.get("/") def home(): return Title("Matplotlib Demo"), Main( H1("Matplotlib Demo"), P("Nothing too fancy, but still kind of fancy."), Div(f"You have pressed the button {count} times.", id="chart"), Button("Increment", hx_get="/increment", hx_target="#chart", hx_swap="innerHTML"), style="margin: 20px" ) @app.get("/increment/") def increment(): global plotdata, count count += 1 plotdata.append(np.random.exponential(1)) return Div( generate_chart(), P(f"You have pressed the button {count} times."), ) serve() ```

Roadmap

This repository is originally meant to be simple helper, but if there are more advanced use-cases to consider I will gladly consider them. Please start a conversation by opening up an issue before starting a PR though.