h2o-nitro-matplotlib 0.1.0

matplotlib plugin for H2O Nitro

Matplotlib plugin for H2O Nitro

This plugin lets you use Matplotlib visualizations in Nitro apps.

Warning: Do not use pyplot! pyplot maintains references to the opened figures to make show() work, but this will cause memory leaks unless the figures are properly closed[1].

Demo

View source.

Install

pip install h2o-nitro-matplotlib

Usage

1. Import matplotlib_plugin and matplotlib_box from h2o_nitro_matplotlib.
2. Add matplotlib_plugin() to your Nitro app.
3. Use matplotlib_box(model) to render Matplotlib models (figures, widgets, and so on).

from matplotlib.figure import Figure
from h2o_nitro import View, web_directory
from h2o_nitro_matplotlib import matplotlib_plugin, matplotlib_box


def main(view: View):
    view(matplotlib_box(make_plot()))


nitro = View(
    main,
    title='Nitro + Matplotlib',
    caption='A minimal example',
    plugins=[matplotlib_plugin()],  # Include the Matplotlib plugin
)

def make_plot():
    x = np.linspace(0, 2, 100)  # Sample data.

    # Important: Generate the figure **without using pyplot**.
    fig = Figure()

    ax = fig.subplots()
    ax.plot(x, x, label='linear')  # Plot some data on the axes.
    ax.plot(x, x ** 2, label='quadratic')  # Plot more data on the axes...
    ax.plot(x, x ** 3, label='cubic')  # ... and some more.
    ax.set_xlabel('x label')  # Add an x-label to the axes.
    ax.set_ylabel('y label')  # Add a y-label to the axes.
    ax.legend()  # Add a legend.

    return fig

[^1]: See Matplotlib docs on embedding .