# Surface ¶

- Title
- Surface Element
- Dependencies
- Matplotlib
- Backends
- Matplotlib

```
import numpy as np
import holoviews as hv
hv.extension('matplotlib')
```

```
Surface
```

is used for a set of gridded points whose associated value dimension represents samples from a continuous surface.
```
Surface
```

is equivalent to an
```
Image
```

type and supports all the same data formats, including simply NumPy arrays with associated
```
bounds
```

and other gridded data formats such as xarray.

Rendering a large can often be quite expensive, using
```
rstride
```

and
```
cstride
```

we can draw a coarser surface. We can also control the
```
azimuth
```

,
```
elevation
```

and
```
distance
```

as plot options to control the camera angle:

```
%%opts Surface [azimuth=30 elevation=30] (cmap='plasma' rstride=20, cstride=2)
hv.Surface(np.sin(np.linspace(0,100*np.pi*2,10000)).reshape(100,100))
```

In addition to a simple surface plots, the matplotlib surface plot also supports other related
```
plot_type
```

modes including
```
'wireframe'
```

and
```
'contour'
```

plots:

```
%%opts Surface [azimuth=60] (cmap='fire' linewidth=1 edgecolor='black') Layout [fig_size=150 hspace=0.1]
xs = np.arange(-4, 4, 0.25)
ys = np.arange(-4, 4, 0.25)
X, Y = np.meshgrid(xs, ys)
R = np.sqrt(X**2 + Y**2)
Z = np.sin(R)
surface = hv.Surface((xs, ys, Z))
surface + surface.opts(plot=dict(plot_type='wireframe')) + surface.opts(plot=dict(plot_type='contour'))
```

For full documentation and the available style and plot options, use
```
hv.help(hv.Surface).
```

Download this notebook from GitHub (right-click to download).