"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"import numpy as np\n",
"import holoviews as hv\n",
"hv.extension('plotly')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"A Layout is a collection of HoloViews objects that are related in some way, to be displayed side-by-side. Like [``Overlay``](./Overlay.ipynb) and unlike other containers such as [``HoloMap``](./HoloMap.ipynb) , [``GridSpace``](./GridSpace.ipynb) and [``NdLayout``](./NdLayout.ipynb) a ``Layout`` is *not* dictionary like: it holds potentially heterogeneous types without any dimensioned keys.\n",
"\n",
"\n",
"A ``Layout`` cannot contain ``NdLayouts`` but can otherwise contain *any* other HoloViews object. See [Building Composite Objects](../../../user_guide/06-Building_Composite_Objects.ipynb) for more details on how to compose containers. It is best to learn about ``Layout`` and [``Overlay``](./Overlay.ipynb) together as they are very closely related objects that share many core concepts."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### ``Layout`` is a heterogeneous collection"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You can build a ``Layout`` between any two HoloViews objects (which can have different types) using the ``+`` operator:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"xvals = [0.1* i for i in range(100)]\n",
"curve = hv.Curve((xvals, [np.sin(x) for x in xvals]))\n",
"scatter = hv.Scatter((xvals[::5], np.linspace(0,1,20)))\n",
"curve + scatter"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"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``](./NdLayout.ipynb) with a regular ``Layout``.\n",
"\n",
"For more information about both ``Layout`` and ``Overlay``, see the [Composing_Elements](../../../user_guide/02-Composing_Elements.ipynb) user guide."
]
}
],
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"language_info": {
"name": "python",
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