Layout¶
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- Title
- Layout Container
- Dependencies
- Bokeh
- Backends
- Bokeh
- Matplotlib
- Plotly
import numpy as np
import holoviews as hv
hv.extension('bokeh')
A Layout is a collection of HoloViews objects that are related in some way, to be displayed side-by-side. Like Overlay
and unlike other containers such as HoloMap
, GridSpace
and NdLayout
a Layout
is not dictionary like: it holds potentially heterogeneous types without any dimensioned keys.
A Layout
cannot contain NdLayouts
but can otherwise contain any other HoloViews object. See Building Composite Objects for more details on how to compose containers. It is best to learn about Layout
and Overlay
together as they are very closely related objects that share many core concepts.
Layout
is a heterogeneous collection¶
You can build a Layout
between any two HoloViews objects (which can have different types) using the +
operator:
xvals = [0.1* i for i in range(100)]
curve = hv.Curve((xvals, [np.sin(x) for x in xvals]))
scatter = hv.Scatter((xvals[::5], np.linspace(0,1,20)))
curve + scatter
In this example, we have a Layout
composed of a Curve
element and a Scatter
element. The one restriction on what you can put in a Layout
is that you cannot combine an NdLayout
with a regular Layout
.
For more information about both Layout
and Overlay
, see the Composing_Elements user guide.
Download this notebook from GitHub (right-click to download).