https://github.com/h2oai/nitro-bokeh

Bokeh plugin for H2O Nitro
https://github.com/h2oai/nitro-bokeh

apps bokeh bokeh-dashboard bokeh-plot charting-library charts data-visualization h2o-nitro plugin python visualization

Last synced: 2 months ago
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Bokeh plugin for H2O Nitro

• Host: GitHub
• URL: https://github.com/h2oai/nitro-bokeh
• Owner: h2oai
• License: apache-2.0
• Created: 2022-05-25T17:04:59.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-05-12T17:11:46.000Z (over 1 year ago)
• Last Synced: 2024-10-05T04:24:23.781Z (3 months ago)
• Topics: apps, bokeh, bokeh-dashboard, bokeh-plot, charting-library, charts, data-visualization, h2o-nitro, plugin, python, visualization
• Language: Python
• Homepage: https://nitro.h2o.ai/plugins/
• Size: 250 KB
• Stars: 2
• Watchers: 43
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Bokeh plugin for H2O Nitro

This plugin lets you use [Bokeh](https://docs.bokeh.org/en/latest/) visualizations in [Nitro](https://github.com/h2oai/nitro)

apps.

## Demo

![Demo](demo.gif)

[View source](examples/bokeh_basic.py).

## Install

```

pip install h2o-nitro-bokeh

```

## Usage

1. Import the plugin:

```py 

from h2o_nitro_bokeh import bokeh_plugin, bokeh_box

```

2. Register the plugin:

```py 

nitro = View(main, title='My App', caption='v1.0', plugins=[bokeh_plugin()])

```

3. Use the plugin:

```py 

# Make a plot

x = [1, 2, 3, 4, 5]

y = [6, 7, 2, 4, 5]

p = figure(title="Simple line example", x_axis_label="x", y_axis_label="y")

p.line(x, y, legend_label="Temp.", line_width=2)

# Display the plot

view(bokeh_box(p))

```

## Change Log

- v0.2.1 - Jun 09, 2022

    - Fixed

        - Don't return value from plots.

- v0.2.0 - May 39, 2022

    - Perf

        - Quicker loading

- v0.1.0 - May 25, 2022

    - Initial Version