Bokeh plugin for H2O Nitro

This plugin lets you use Bokeh visualizations in Nitro apps.

Demo

Install

pip install h2o-nitro-bokeh

Usage

Import the plugin:

from h2o_nitro_bokeh import bokeh_plugin, bokeh_box

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

Use the plugin:

# 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

Metadata

Release files for h2o-nitro-bokeh 0.2.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for h2o-nitro-bokeh 0.2.2
File	Interpreter	ABI	Platform	Reset
h2o_nitro_bokeh-0.2.2-py3-none-any.whl 8.0 kB May 12, 2023	Python 3	none	any	Details

Release files / h2o_nitro_bokeh-0.2.2-py3-none-any.whl

Download URL	h2o_nitro_bokeh-0.2.2-py3-none-any.whl
Size	8.0 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`8898d048891a0ec37e499c6c9bb4034c8a1313882ea54c2cdef183816c542231`
BLAKE2b-256 checksum How to use checksums	`64baf006cfcaaa1ab4ec65fe1c3dc8b5535402dd17f37c0193daeff4bd16947b`
Upload date	May 12, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/4.0.2 CPython/3.7.13`