Arrow#
Download this notebook from GitHub (right-click to download).
- Title
- Arrow
- Dependencies
- Bokeh
- Backends
- Bokeh
- Matplotlib
import numpy as np
import holoviews as hv
hv.extension('bokeh')
The Arrow
element is a type of annotation that points to a position on a visualization with optional text. It allows specifying an x- and y-position along with a label and a direction which may be one of ‘<’, ‘>’, ‘v’ and ‘^’.
xs = np.linspace(-5,5,100)
ys = -(xs-2)**3
curve = hv.Curve((xs,ys)).opts(color='#D3D3D3')
curve * hv.Arrow(0,10, 'Inflection', 'v')
Additionally we can pick between a number of different arrow styles including ‘-[’, ‘->’ and ‘<->’:
np.random.seed(12)
points = hv.Points(np.random.randn(100, 2))
(points * hv.Arrow(2, points['y'].min(), 'Min', 'v', arrowstyle='-[') *
hv.Arrow(2, points['y'].max(), 'Max', '^', arrowstyle='-[')).redim.range(y=(-5, 5), x=(-3, 3))
For full documentation and the available style and plot options, use hv.help(hv.Arrow).
This web page was generated from a Jupyter notebook and not all interactivity will work on this website. Right click to download and run locally for full Python-backed interactivity.
Download this notebook from GitHub (right-click to download).