vispy.plot.plotwidget module

class vispy.plot.plotwidget.PlotWidget(*args, **kwargs)

Bases: vispy.scene.widgets.widget.Widget

Widget to facilitate plotting

Parameters

*argsarguments

Arguments passed to the ViewBox super class.

**kwargskeywoard arguments

Keyword arguments passed to the ViewBox super class.

Notes

This class is typically instantiated implicitly by a Figure instance, e.g., by doing fig[0, 0].

colorbar(cmap, position='right', label='', clim=('', ''), border_width=0.0, border_color='black', **kwargs)

Show a ColorBar

Parameters

cmapstr | vispy.color.ColorMap

Either the name of the ColorMap to be used from the standard set of names (refer to vispy.color.get_colormap), or a custom ColorMap object. The ColorMap is used to apply a gradient on the colorbar.

position{‘left’, ‘right’, ‘top’, ‘bottom’}

The position of the colorbar with respect to the plot. ‘top’ and ‘bottom’ are placed horizontally, while ‘left’ and ‘right’ are placed vertically

labelstr

The label that is to be drawn with the colorbar that provides information about the colorbar.

climtuple (min, max)

the minimum and maximum values of the data that is given to the colorbar. This is used to draw the scale on the side of the colorbar.

border_widthfloat (in px)

The width of the border the colormap should have. This measurement is given in pixels

border_colorstr | vispy.color.Color

The color of the border of the colormap. This can either be a str as the color’s name or an actual instace of a vipy.color.Color

Returns

colorbarinstance of ColorBarWidget

See also

ColorBarWidget

histogram(data, bins=10, color='w', orientation='h')

Calculate and show a histogram of data

Parameters

dataarray-like

Data to histogram. Currently only 1D data is supported.

binsint | array-like

Number of bins, or bin edges.

colorinstance of Color

Color of the histogram.

orientation{‘h’, ‘v’}

Orientation of the histogram.

Returns

histinstance of Polygon

The histogram polygon.

image(data, cmap='cubehelix', clim='auto', fg_color=None)

Show an image

Parameters

datandarray

Should have shape (N, M), (N, M, 3) or (N, M, 4).

cmapstr

Colormap name.

climstr | tuple

Colormap limits. Should be 'auto' or a two-element tuple of min and max values.

fg_colorColor or None

Sets the plot foreground color if specified.

Returns

imageinstance of Image

The image.

Notes

The colormap is only used if the image pixels are scalars.

mesh(vertices=None, faces=None, vertex_colors=None, face_colors=None, color=(0.5, 0.5, 1.0), fname=None, meshdata=None, shading='auto')

Show a 3D mesh

Parameters

verticesarray

Vertices.

facesarray | None

Face definitions.

vertex_colorsarray | None

Vertex colors.

face_colorsarray | None

Face colors.

colorinstance of Color

Color to use.

fnamestr | None

Filename to load. If not None, then vertices, faces, and meshdata must be None.

meshdataMeshData | None

Meshdata to use. If not None, then vertices, faces, and fname must be None.

shadingstr

Shading to use, can be None, ‘smooth’, ‘flat’, or ‘auto’. Default (‘auto’) will use None if face_colors is set, and ‘smooth’ otherwise.

Returns

meshinstance of Mesh

The mesh.

plot(data, color='k', symbol=None, line_kind='-', width=1.0, marker_size=10.0, edge_color='k', face_color='b', edge_width=1.0, title=None, xlabel=None, ylabel=None, connect='strip')

Plot a series of data using lines and markers

Parameters

dataarray | two arrays

Arguments can be passed as (Y,), (X, Y) or np.array((X, Y)).

colorinstance of Color

Color of the line.

symbolstr

Marker symbol to use.

line_kindstr

Kind of line to draw. For now, only solid lines ('-') are supported.

widthfloat

Line width.

marker_sizefloat

Marker size. If size == 0 markers will not be shown.

edge_colorinstance of Color

Color of the marker edge.

face_colorinstance of Color

Color of the marker face.

edge_widthfloat

Edge width of the marker.

titlestr | None

The title string to be displayed above the plot

xlabelstr | None

The label to display along the bottom axis

ylabelstr | None

The label to display along the left axis.

connectstr | array

Determines which vertices are connected by lines.

Returns

lineinstance of LinePlot

The line plot.

See also

marker_types, LinePlot

spectrogram(x, n_fft=256, step=None, fs=1.0, window='hann', normalize=False, color_scale='log', cmap='cubehelix', clim='auto')

Calculate and show a spectrogram

Parameters

xarray-like

1D signal to operate on. If len(x) < n_fft, x will be zero-padded to length n_fft.

n_fftint

Number of FFT points. Much faster for powers of two.

stepint | None

Step size between calculations. If None, n_fft // 2 will be used.

fsfloat

The sample rate of the data.

windowstr | None

Window function to use. Can be 'hann' for Hann window, or None for no windowing.

normalizebool

Normalization of spectrogram values across frequencies.

color_scale{‘linear’, ‘log’}

Scale to apply to the result of the STFT. 'log' will use 10 * log10(power).

cmapstr

Colormap name.

climstr | tuple

Colormap limits. Should be 'auto' or a two-element tuple of min and max values.

Returns

specinstance of Spectrogram

The spectrogram.

See also

Image

surface(zdata, **kwargs)

Show a 3D surface plot.

Extra keyword arguments are passed to SurfacePlot().

Parameters

zdataarray-like

A 2D array of the surface Z values.

volume(vol, clim=None, method='mip', threshold=None, cmap='grays')

Show a 3D volume

Parameters

volndarray

Volume to render.

climtuple of two floats | None

The contrast limits. The values in the volume are mapped to black and white corresponding to these values. Default maps between min and max.

method{‘mip’, ‘iso’, ‘translucent’, ‘additive’}

The render style to use. See corresponding docs for details. Default ‘mip’.

thresholdfloat

The threshold to use for the isosurafce render style. By default the mean of the given volume is used.

cmapstr

The colormap to use.

Returns

volumeinstance of Volume

The volume visualization.

See also

Volume

vispy.plot.fig module vispy.scene package