Created
November 4, 2015 19:07
-
-
Save rothnic/8afce7eafb30d97d6d35 to your computer and use it in GitHub Desktop.
bokeh line with custom palette
This file contains hidden or 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 bokeh.charts import Line, show, output_file, color | |
# build a dataset where multiple columns measure the same thing | |
data = dict(python=[2, 3, 7, 5, 26, 221, 44, 233, 254, 265, 266, 267, 120, 111], | |
pypy=[12, 33, 47, 15, 126, 121, 144, 233, 254, 225, 226, 267, 110, 130], | |
jython=[22, 43, 10, 25, 26, 101, 114, 203, 194, 215, 201, 227, 139, 160], | |
test=['foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'bar', 'foo', 'bar', | |
'foo', 'bar', 'foo', 'bar'] | |
) | |
# create a line chart where each column of measures receives a unique color and dash style | |
line = Line(data, y=['python', 'pypy', 'jython'], | |
dash=['python', 'pypy', 'jython'], | |
color=color(['python', 'pypy', 'jython'], palette=['red', 'yellow']), | |
title="Interpreter Sample Data", ylabel='Duration', legend=True) | |
output_file("line_single.html") | |
show(line) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment