Violin#
import hvplot.pandas # noqa
violin
plots are similar to box plots, but provide a better sense of the distribution of data. Note that violin
plots depend on the scipy
library.
from bokeh.sampledata.sprint import sprint as df
df.head()
Name | Country | Medal | Time | Year | |
---|---|---|---|---|---|
0 | Usain Bolt | JAM | GOLD | 9.63 | 2012 |
1 | Yohan Blake | JAM | SILVER | 9.75 | 2012 |
2 | Justin Gatlin | USA | BRONZE | 9.79 | 2012 |
3 | Usain Bolt | JAM | GOLD | 9.69 | 2008 |
4 | Richard Thompson | TRI | SILVER | 9.89 | 2008 |
df.hvplot.violin(y='Time', by='Medal', c='Medal', ylabel='Sprint Time',
cmap=['gold', 'silver', 'brown'], legend=False,
width=500, height=500, padding=0.4)
This web page was generated from a Jupyter notebook and not all
interactivity will work on this website.