Metadata-Version: 2.1
Name: h2o-nitro-bokeh
Version: 0.2.2
Summary: Bokeh plugin for H2O Nitro
Home-page: https://github.com/h2oai/nitro-bokeh
Author: Prithvi Prabhu
Author-email: prithvi.prabhu@gmail.com
License: UNKNOWN
Project-URL: Documentation, https://github.com/h2oai/nitro-bokeh
Project-URL: Source, https://github.com/h2oai/nitro-bokeh
Project-URL: Issues, https://github.com/h2oai/nitro-bokeh/issues
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Topic :: Internet :: WWW/HTTP :: Dynamic Content
Classifier: Topic :: Communications :: Chat
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Software Development :: Libraries :: Application Frameworks
Classifier: Topic :: Software Development :: Widget Sets
Classifier: Topic :: System :: Distributed Computing
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: bokeh
Requires-Dist: h2o-nitro (>=0.9.2)

# 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



