Created
April 5, 2018 12:12
-
-
Save Ogaday/e4bbc9cf2a6f16ab3f1713d4323ce082 to your computer and use it in GitHub Desktop.
Minimal bokeh-stitch example
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
FROM continuumio/miniconda3:latest | |
RUN conda update conda -y | |
WORKDIR /opt/example/ | |
COPY environment.yml /opt/example/ | |
COPY ex_bokeh.ipymd /opt/example/ | |
COPY run.sh /opt/example/ | |
RUN chmod +x run.sh | |
RUN conda env create -f environment.yml | |
CMD ["./run.sh"] |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
name: bokeh | |
dependencies: | |
- python=3.6.5=hc3d631a_0 | |
- bokeh=0.12.15=py36_0 | |
- pypandoc=1.4=py36_0 | |
- jupyter=1.0.0=py36_4 | |
- pip: | |
- knotr==0.4.1 |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
# Bokeh Integration | |
> [Bokeh](http://bokeh.pydata.org/en/latest/) is a Python interactive visualization library that targets modern web browsers for presentation. | |
This document can be compiled to HTML with | |
``` | |
stitch ex_bokeh.txt -o ex_bokeh.html --no-self-contained | |
``` | |
The easiest way to use stitch & Bokeh together is with the ``Bokeh.output_notebook`` | |
method. | |
```{python} | |
from bokeh.plotting import figure, show, output_notebook | |
# prepare some data | |
x = [0.1, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0] | |
y0 = [i**2 for i in x] | |
y1 = [10**i for i in x] | |
y2 = [10**(i**2) for i in x] | |
output_notebook() | |
``` | |
```{python} | |
# create a new plot | |
p = figure( | |
tools="pan,box_zoom,reset,save", | |
y_axis_type="log", y_range=[0.001, 10**11], title="log axis example", | |
x_axis_label='sections', y_axis_label='particles' | |
) | |
# add some renderers | |
p.line(x, x, legend="y=x") | |
p.circle(x, x, legend="y=x", fill_color="white", size=8) | |
p.line(x, y0, legend="y=x^2", line_width=3) | |
p.line(x, y1, legend="y=10^x", line_color="red") | |
p.circle(x, y1, legend="y=10^x", fill_color="red", line_color="red", size=6) | |
p.line(x, y2, legend="y=10^x^2", line_color="orange", line_dash="4 4") | |
# show the results | |
show(p) | |
``` | |
See also Bokeh's tools for [embedding](http://bokeh.pydata.org/en/latest/docs/user_guide/embed.html) | |
the HTML and javascript necessary to get a figure to show up in HTML output. |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
. /opt/conda/etc/profile.d/conda.sh; | |
conda activate bokeh; | |
stitch ex_bokeh.ipymd -o ex_bokeh.html --no-self-contained; |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment