h2o-nitro-matplotlib

matplotlib plugin for H2O Nitro


Keywords
apps, charting-library, charts, data-visualization, h2o-nitro, matplotlib, plugin, python, visualization
License
Apache-2.0
Install
pip install h2o-nitro-matplotlib==0.2.2

Documentation

Matplotlib plugin for H2O Nitro

This plugin lets you use Matplotlib and Seaborn visualizations in Nitro apps.

Warning: Try to avoid pyplot in web apps! pyplot maintains references to the opened figures to make show() work, but this will cause memory leaks unless the figures are properly closed1.

Demo

Matplotlib

Matplotlib

View source.

Seaborn

Seaborn

View source.

Install

pip install h2o-nitro-matplotlib

Usage

  1. Import the plugin:
from h2o_nitro_matplotlib import matplotlib_plugin, matplotlib_box
  1. Register the plugin:
nitro = View(main, title='My App', caption='v1.0', plugins=[matplotlib_plugin()])
  1. Use the plugin:
# Make a figure:
x = np.linspace(0, 2, 100)  # Sample data.
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.

# Display the figure:
view(matplotlib_box(fig))

Change Log

  • v0.2.1 - Jun 09, 2022
    • Fixed
      • Don't return value from plots.
  • v0.2.0 - May 30, 2022
    • Added
      • Use global pyplot if a figure is not passed (for Seaborn support).
  • v0.1.0 - May 29, 2022
    • Initial Version

Footnotes

  1. See Matplotlib docs on embedding ↩