`PlotWidget`: Base class for plotting widgets¶

The PlotWidget is a Qt widget providing the plot API initially provided in PyMca. It is the basis of other plot widget, thus all plot widgets share the same API.

For an introduction and examples of the plot API, see Getting started with plot widgets.

Plot API¶

This is a choosen subset of the complete plot API, the full API is documented in silx.gui.plot.Plot.

class silx.gui.plot.PlotWidget.PlotWidget(parent=None, backend=None, legends=False, callback=None, **kw)[source]¶

Bases: PyQt5.QtWidgets.QMainWindow, silx.gui.plot.Plot.Plot

Qt Widget providing a 1D/2D plot.

This widget is a QMainWindow. It provides Qt signals for the Plot and add supports for panning with arrow keys.

Parameters:	parent – The parent of this widget or None. backend (str or `BackendBase.BackendBase`) – The backend to use for the plot (default: matplotlib). See `Plot` for the list of supported backend.

Plot data¶

Those methods allow to add and update plotted data:

PlotWidget.addCurve(x, y, legend=None, info=None, replace=False, replot=None, color=None, symbol=None, linewidth=None, linestyle=None, xlabel=None, ylabel=None, yaxis=None, xerror=None, yerror=None, z=None, selectable=None, fill=None, resetzoom=True, histogram=None, copy=True, **kw)¶

Add a 1D curve given by x an y to the graph.

Curves are uniquely identified by their legend. To add multiple curves, call addCurve() multiple times with different legend argument. To replace an existing curve, call addCurve() with the existing curve legend. If you want to display the curve values as an histogram see the histogram parameter or addHistogram().

When curve parameters are not provided, if a curve with the same legend is displayed in the plot, its parameters are used.

Parameters:

x (numpy.ndarray) – The data corresponding to the x coordinates. If you attempt to plot an histogram you can set edges values in x. In this case len(x) = len(y) + 1
y (numpy.ndarray) – The data corresponding to the y coordinates
legend (str) – The legend to be associated to the curve (or None)
info – User-defined information associated to the curve
replace (bool) – True (the default) to delete already existing curves
color (str ("#RRGGBB") or (npoints, 4) unsigned byte array or one of the predefined color names defined in Colors.py) – color(s) to be used

symbol (str) –

Symbol to be drawn at each (x, y) position:

- 'o' circle
- '.' point
- ',' pixel
- '+' cross
- 'x' x-cross
- 'd' diamond
- 's' square
- None (the default) to use default symbol

linewidth (float) – The width of the curve in pixels (Default: 1).

linestyle (str) –

Type of line:

- ' '  no line
- '-'  solid line
- '--' dashed line
- '-.' dash-dot line
- ':'  dotted line
- None (the default) to use default line style

xlabel (str) – Label to show on the X axis when the curve is active or None to keep default axis label.
ylabel (str) – Label to show on the Y axis when the curve is active or None to keep default axis label.
yaxis (str) – The Y axis this curve is attached to. Either ‘left’ (the default) or ‘right’
xerror (A float, or a numpy.ndarray of float32. If it is an array, it can either be a 1D array of same length as the data or a 2D array with 2 rows of same length as the data: row 0 for positive errors, row 1 for negative errors.) – Values with the uncertainties on the x values
yerror (A float, or a numpy.ndarray of float32. See xerror.) – Values with the uncertainties on the y values
z (int) – Layer on which to draw the curve (default: 1) This allows to control the overlay.
selectable (bool) – Indicate if the curve can be selected. (Default: True)
fill (bool) – True to fill the curve, False otherwise (default).
resetzoom (bool) – True (the default) to reset the zoom.
histogram (str) –
if not None then the curve will be draw as an histogram. The step for each values of the curve can be set to the left, center or right of the original x curve values. If histogram is not None and len(x) == len(y)+1 then x is directly take as edges of the histogram. Type of histogram:
```
- None (default)
- 'left'
- 'right'
- 'center'
```
copy (bool) – True make a copy of the data (default), False to use provided arrays.

Returns:

The key string identify this curve

PlotWidget.addImage(data, legend=None, info=None, replace=True, replot=None, xScale=None, yScale=None, z=None, selectable=None, draggable=None, colormap=None, pixmap=None, xlabel=None, ylabel=None, origin=None, scale=None, resetzoom=True, copy=True, **kw)¶

Add a 2D dataset or an image to the plot.

It displays either an array of data using a colormap or a RGB(A) image.

Images are uniquely identified by their legend. To add multiple images, call addImage() multiple times with different legend argument. To replace/update an existing image, call addImage() with the existing image legend.

When image parameters are not provided, if an image with the same legend is displayed in the plot, its parameters are used.

Parameters:

data (numpy.ndarray) – (nrows, ncolumns) data or (nrows, ncolumns, RGBA) ubyte array
legend (str) – The legend to be associated to the image (or None)
info – User-defined information associated to the image
replace (bool) – True (default) to delete already existing images
z (int) – Layer on which to draw the image (default: 0) This allows to control the overlay.
selectable (bool) – Indicate if the image can be selected. (default: False)
draggable (bool) – Indicate if the image can be moved. (default: False)
colormap (dict) – Description of the colormap to use (or None) This is ignored if data is a RGB(A) image. See Plot for the documentation of the colormap dict.
pixmap ((nrows, ncolumns, RGBA) ubyte array or None (default)) – Pixmap representation of the data (if any)
xlabel (str) – X axis label to show when this curve is active, or None to keep default axis label.
ylabel (str) – Y axis label to show when this curve is active, or None to keep default axis label.
origin (float or 2-tuple of float) – (origin X, origin Y) of the data. It is possible to pass a single float if both coordinates are equal. Default: (0., 0.)
scale (float or 2-tuple of float) – (scale X, scale Y) of the data. It is possible to pass a single float if both coordinates are equal. Default: (1., 1.)
resetzoom (bool) – True (the default) to reset the zoom.
copy (bool) – True make a copy of the data (default), False to use provided arrays.

Returns:

The key string identify this image

PlotWidget.addScatter(x, y, value, legend=None, colormap=None, info=None, symbol=None, xerror=None, yerror=None, z=None, copy=True)¶

Add a (x, y, value) scatter to the graph.

Scatters are uniquely identified by their legend. To add multiple scatters, call addScatter() multiple times with different legend argument. To replace/update an existing scatter, call addScatter() with the existing scatter legend.

When scatter parameters are not provided, if a scatter with the same legend is displayed in the plot, its parameters are used.

Parameters:

x (numpy.ndarray) – The data corresponding to the x coordinates.
y (numpy.ndarray) – The data corresponding to the y coordinates
value (numpy.ndarray) – The data value associated with each point
legend (str) – The legend to be associated to the scatter (or None)
colormap (dict) – The colormap to be used for the scatter (or None) See Plot for the documentation of the colormap dict.
info – User-defined information associated to the curve

symbol (str) –

Symbol to be drawn at each (x, y) position:

- 'o' circle
- '.' point
- ',' pixel
- '+' cross
- 'x' x-cross
- 'd' diamond
- 's' square
- None (the default) to use default symbol

xerror (A float, or a numpy.ndarray of float32. If it is an array, it can either be a 1D array of same length as the data or a 2D array with 2 rows of same length as the data: row 0 for positive errors, row 1 for negative errors.) – Values with the uncertainties on the x values
yerror (A float, or a numpy.ndarray of float32. See xerror.) – Values with the uncertainties on the y values
z (int) – Layer on which to draw the scatter (default: 1) This allows to control the overlay.
copy (bool) – True make a copy of the data (default), False to use provided arrays.

Returns:

The key string identify this scatter

PlotWidget.addHistogram(histogram, edges, legend=None, color=None, fill=None, align='center', resetzoom=True, copy=True)¶

Add an histogram to the graph.

This is NOT computing the histogram, this method takes as parameter already computed histogram values.

Histogram are uniquely identified by their legend. To add multiple histograms, call addHistogram() multiple times with different legend argument.

When histogram parameters are not provided, if an histogram with the same legend is displayed in the plot, its parameters are used.

Parameters:

histogram (numpy.ndarray) – The values of the histogram.
edges (numpy.ndarray) – The bin edges of the histogram. If histogram and edges have the same length, the bin edges are computed according to the align parameter.
legend (str) – The legend to be associated to the histogram (or None)
color (str ("#RRGGBB") or RGB unsigned byte array or one of the predefined color names defined in Colors.py) – color to be used
fill (bool) – True to fill the curve, False otherwise (default).
align (str) – In case histogram values and edges have the same length N, the N+1 bin edges are computed according to the alignment in: ‘center’ (default), ‘left’, ‘right’.
resetzoom (bool) – True (the default) to reset the zoom.
copy (bool) – True make a copy of the data (default), False to use provided arrays.

Returns:

The key string identify this histogram

Plot markers¶

It is also possible to add point or line markers to the plot:

PlotWidget.addMarker(x, y, legend=None, text=None, color=None, selectable=False, draggable=False, symbol='+', constraint=None, **kw)¶

Add a point marker to the plot.

Markers are uniquely identified by their legend. As opposed to curves, images and items, two calls to addMarker() without legend argument adds two markers with different identifying legends.

Parameters:

x (float) – Position of the marker on the X axis in data coordinates
y (float) – Position of the marker on the Y axis in data coordinates
legend (str) – Legend associated to the marker to identify it
text (str) – Text to display next to the marker
color (str) – Color of the marker, e.g., ‘blue’, ‘b’, ‘#FF0000’ (Default: ‘black’)
selectable (bool) – Indicate if the marker can be selected. (default: False)
draggable (bool) – Indicate if the marker can be moved. (default: False)

symbol (str) –

Symbol representing the marker in:

- 'o' circle
- '.' point
- ',' pixel
- '+' cross (the default)
- 'x' x-cross
- 'd' diamond
- 's' square

constraint (None or a callable that takes the coordinates of the current cursor position in the plot as input and that returns the filtered coordinates.) – A function filtering marker displacement by dragging operations or None for no filter. This function is called each time a marker is moved. This parameter is only used if draggable is True.

Returns:

The key string identify this marker

PlotWidget.addXMarker(x, legend=None, text=None, color=None, selectable=False, draggable=False, constraint=None, **kw)¶

Add a vertical line marker to the plot.

Markers are uniquely identified by their legend. As opposed to curves, images and items, two calls to addXMarker() without legend argument adds two markers with different identifying legends.

Parameters:

x (float) – Position of the marker on the X axis in data coordinates
legend (str) – Legend associated to the marker to identify it
text (str) – Text to display on the marker.
color (str) – Color of the marker, e.g., ‘blue’, ‘b’, ‘#FF0000’ (Default: ‘black’)
selectable (bool) – Indicate if the marker can be selected. (default: False)
draggable (bool) – Indicate if the marker can be moved. (default: False)
constraint (None or a callable that takes the coordinates of the current cursor position in the plot as input and that returns the filtered coordinates.) – A function filtering marker displacement by dragging operations or None for no filter. This function is called each time a marker is moved. This parameter is only used if draggable is True.

Returns:

The key string identify this marker

PlotWidget.addYMarker(y, legend=None, text=None, color=None, selectable=False, draggable=False, constraint=None, **kw)¶

Add a horizontal line marker to the plot.

Markers are uniquely identified by their legend. As opposed to curves, images and items, two calls to addYMarker() without legend argument adds two markers with different identifying legends.

Parameters:

y (float) – Position of the marker on the Y axis in data coordinates
legend (str) – Legend associated to the marker to identify it
text (str) – Text to display next to the marker.
color (str) – Color of the marker, e.g., ‘blue’, ‘b’, ‘#FF0000’ (Default: ‘black’)
selectable (bool) – Indicate if the marker can be selected. (default: False)
draggable (bool) – Indicate if the marker can be moved. (default: False)
constraint (None or a callable that takes the coordinates of the current cursor position in the plot as input and that returns the filtered coordinates.) – A function filtering marker displacement by dragging operations or None for no filter. This function is called each time a marker is moved. This parameter is only used if draggable is True.

Returns:

The key string identify this marker

Remove data from the plot¶

PlotWidget.clear()¶: Remove everything from the plot.

PlotWidget.remove(legend=None, kind=('curve', 'image', 'scatter', 'item', 'marker', 'histogram'))¶

Remove one or all element(s) of the given legend and kind.

Examples:

remove() clears the plot
remove(kind='curve') removes all curves from the plot
remove('myCurve', kind='curve') removes the curve with legend ‘myCurve’ from the plot.
remove('myImage, kind='image') removes the image with legend ‘myImage’ from the plot.
remove('myImage') removes elements (for instance curve, image, item and marker) with legend ‘myImage’.

Parameters:	legend (str) – The legend associated to the element to remove, or None to remove kind (str or tuple of str to specify multiple kinds.) – The kind of elements to remove from the plot. In: ‘all’, ‘curve’, ‘image’, ‘item’, ‘marker’. By default, it removes all kind of elements.

Title and labels¶

Those methods handle the text labels of the axes and the plot title:

PlotWidget.getGraphTitle()¶: Return the plot main title as a str.

PlotWidget.setGraphTitle(title='')¶

Set the plot main title.

Parameters:	title (str) – Main title of the plot (default: ‘’)

PlotWidget.getGraphXLabel()¶: Return the current X axis label as a str.

PlotWidget.setGraphXLabel(label='X')¶

Set the plot X axis label.

The provided label can be temporarily replaced by the X label of the active curve if any.

Parameters:	label (str) – The X axis label (default: ‘X’)

PlotWidget.getGraphYLabel(axis='left')¶

Return the current Y axis label as a str.

Parameters:	axis (str) – The Y axis for which to get the label (left or right)

PlotWidget.setGraphYLabel(label='Y', axis='left')¶

Set the plot Y axis label.

The provided label can be temporarily replaced by the Y label of the active curve if any.

Parameters:	label (str) – The Y axis label (default: ‘Y’) axis (str) – The Y axis for which to set the label (left or right)

Axes limits¶

Those methods change the range of data values displayed on each axis.

PlotWidget.getGraphXLimits()¶

Get the graph X (bottom) limits.

Returns:	Minimum and maximum values of the X axis

PlotWidget.setGraphXLimits(xmin, xmax, replot=None)¶

Set the graph X (bottom) limits.

Parameters:	xmin (float) – minimum bottom axis value xmax (float) – maximum bottom axis value

PlotWidget.getGraphYLimits(axis='left')¶

Get the graph Y limits.

Parameters:	axis (str) – The axis for which to get the limits: Either ‘left’ or ‘right’
Returns:	Minimum and maximum values of the X axis

PlotWidget.setGraphYLimits(ymin, ymax, axis='left', replot=None)¶

Set the graph Y limits.

Parameters:	ymin (float) – minimum bottom axis value ymax (float) – maximum bottom axis value axis (str) – The axis for which to get the limits: Either ‘left’ or ‘right’

PlotWidget.setLimits(xmin, xmax, ymin, ymax, y2min=None, y2max=None)¶

Set the limits of the X and Y axes at once.

If y2min or y2max is None, the right Y axis limits are not updated.

Parameters:	xmin (float) – minimum bottom axis value xmax (float) – maximum bottom axis value ymin (float) – minimum left axis value ymax (float) – maximum left axis value y2min (float) – minimum right axis value or None (the default) y2max (float) – maximum right axis value or None (the default)

Axes¶

The following methods handle the display properties of the axes:

PlotWidget.isXAxisLogarithmic()¶: Return True if X axis scale is logarithmic, False if linear.

PlotWidget.setXAxisLogarithmic(flag)¶

Set the bottom X axis scale (either linear or logarithmic).

Parameters:	flag (bool) – True to use a logarithmic scale, False for linear.

PlotWidget.isYAxisLogarithmic()¶: Return True if Y axis scale is logarithmic, False if linear.

PlotWidget.setYAxisLogarithmic(flag)¶

Set the Y axes scale (either linear or logarithmic).

Parameters:	flag (bool) – True to use a logarithmic scale, False for linear.

PlotWidget.isYAxisInverted()¶: Return True if Y axis goes from top to bottom, False otherwise.

PlotWidget.setYAxisInverted(flag=True)¶

Set the Y axis orientation.

Parameters:	flag (bool) – True for Y axis going from top to bottom, False for Y axis going from bottom to top

PlotWidget.isKeepDataAspectRatio()¶: Returns whether the plot is keeping data aspect ratio or not.

PlotWidget.setKeepDataAspectRatio(flag=True)¶

Set whether the plot keeps data aspect ratio or not.

Parameters:	flag (bool) – True to respect data aspect ratio

PlotWidget.getGraphGrid()¶

Return the current grid mode, either None, ‘major’ or ‘both’.

See setGraphGrid().

PlotWidget.setGraphGrid(which=True)¶

Set the type of grid to display.

Parameters:	which (str of bool) – None or False to disable the grid, ‘major’ or True for grid on major ticks (the default), ‘both’ for grid on both major and minor ticks.

Reset zoom¶

PlotWidget.resetZoom(dataMargins=None)¶

Reset the plot limits to the bounds of the data and redraw the plot.

It automatically scale limits of axes that are in autoscale mode (See setXAxisAutoScale(), setYAxisAutoScale()). It keeps current limits on axes that are not in autoscale mode.

Extra margins can be added around the data inside the plot area. Margins are given as one ratio of the data range per limit of the data (xMin, xMax, yMin and yMax limits). For log scale, extra margins are applied in log10 of the data.

Parameters:	dataMargins (A 4-tuple of float as (xMin, xMax, yMin, yMax).) – Ratios of margins to add around the data inside the plot area for each side (Default: no margins).

Those methods change the behavior of PlotWidget.resetZoom().

PlotWidget.getDataMargins()¶

Get the default data margin ratios, see setDataMargins().

Returns:	The margin ratios for each side (xMin, xMax, yMin, yMax).
Return type:	A 4-tuple of floats.

PlotWidget.setDataMargins(xMinMargin=0.0, xMaxMargin=0.0, yMinMargin=0.0, yMaxMargin=0.0)¶

Set the default data margins to use in resetZoom().

Set the default ratios of margins (as floats) to add around the data inside the plot area for each side.

PlotWidget.isXAxisAutoScale()¶: Return True if X axis is automatically adjusting its limits.

PlotWidget.setXAxisAutoScale(flag=True)¶

Set the X axis limits adjusting behavior of resetZoom().

Parameters:	flag (bool) – True to resize limits automatically, False to disable it.

PlotWidget.isYAxisAutoScale()¶: Return True if Y axes are automatically adjusting its limits.

PlotWidget.setYAxisAutoScale(flag=True)¶

Set the Y axis limits adjusting behavior of resetZoom().

Parameters:	flag (bool) – True to resize limits automatically, False to disable it.

Defaults¶

Those methods set-up default values for PlotWidget.addCurve() and PlotWidget.addImage():

PlotWidget.getDefaultColormap()¶

Return the default colormap used by addImage() as a dict.

See Plot for the documentation of the colormap dict.

PlotWidget.setDefaultColormap(colormap=None)¶

Set the default colormap used by addImage().

Setting the default colormap do not change any currently displayed image. It only affects future calls to addImage() without the colormap parameter.

Parameters:	colormap (dict) – The description of the default colormap, or None to set the colormap to a linear autoscale gray colormap. See `Plot` for the documentation of the colormap dict.

PlotWidget.getSupportedColormaps()¶

Get the supported colormap names as a tuple of str.

The list should at least contain and start by: (‘gray’, ‘reversed gray’, ‘temperature’, ‘red’, ‘green’, ‘blue’)

PlotWidget.setDefaultPlotPoints(flag)¶

Set the default symbol of all curves.

When called, this reset the symbol of all existing curves.

Parameters:	flag (bool) – True to use ‘o’ as the default curve symbol, False to use no symbol.

PlotWidget.setDefaultPlotLines(flag)¶

Toggle the use of lines as the default curve line style.

Parameters:	flag (bool) – True to use a line as the default line style, False to use no line as the default line style.

Interaction¶

Those methods allow to change the interaction mode (e.g., drawing mode) of the plot and to toggle the use of a crosshair cursor:

PlotWidget.getInteractiveMode()¶

Returns the current interactive mode as a dict.

The returned dict contains at least the key ‘mode’. Mode can be: ‘draw’, ‘pan’, ‘select’, ‘zoom’. It can also contains extra keys (e.g., ‘color’) specific to a mode as provided to setInteractiveMode().

PlotWidget.setInteractiveMode(mode, color='black', shape='polygon', label=None, zoomOnWheel=True, source=None, width=None)¶

Switch the interactive mode.

Parameters:

mode (str) – The name of the interactive mode. In ‘draw’, ‘pan’, ‘select’, ‘zoom’.
color (Color description: The name as a str or a tuple of 4 floats.) – Only for ‘draw’ and ‘zoom’ modes. Color to use for drawing selection area. Default black.
shape (str) – Only for ‘draw’ mode. The kind of shape to draw. In ‘polygon’, ‘rectangle’, ‘line’, ‘vline’, ‘hline’, ‘freeline’. Default is ‘polygon’.
label (str) – Only for ‘draw’ mode, sent in drawing events.
zoomOnWheel (bool) – Toggle zoom on wheel support
source – A user-defined object (typically the caller object) that will be send in the interactiveModeChanged event, to identify which object required a mode change. Default: None
width (float) – Width of the pencil. Only for draw pencil mode.

PlotWidget.getGraphCursor()¶

Returns the state of the crosshair cursor.

See setGraphCursor().

Returns:	None if the crosshair cursor is not active, else a tuple (color, linewidth, linestyle).

PlotWidget.setGraphCursor(flag=False, color='black', linewidth=1, linestyle='-')¶

Toggle the display of a crosshair cursor and set its attributes.

Parameters:

flag (bool) – Toggle the display of a crosshair cursor. The crosshair cursor is hidden by default.
color (A string (either a predefined color name in Colors.py or "#RRGGBB")) or a 4 columns unsigned byte array (Default: black).) – The color to use for the crosshair.
linewidth (int) – The width of the lines of the crosshair (Default: 1).

linestyle (str) –

Type of line:

- ' ' no line
- '-' solid line (the default)
- '--' dashed line
- '-.' dash-dot line
- ':' dotted line

Misc.¶

PlotWidget.saveGraph(filename, fileFormat=None, dpi=None, **kw)¶

Save a snapshot of the plot.

Supported file formats: “png”, “svg”, “pdf”, “ps”, “eps”, “tif”, “tiff”, “jpeg”, “jpg”.

Parameters:	filename (str, StringIO or BytesIO) – Destination fileFormat (str) – String specifying the format
Returns:	False if cannot save the plot, True otherwise

Signals¶

The PlotWidget provides the following Qt signals:

PlotWidget.sigPlotSignal¶

Signal for all events of the plot.

The signal information is provided as a dict. See Plot for documentation of the content of the dict.

PlotWidget.sigSetYAxisInverted¶: Signal emitted when Y axis orientation has changed

PlotWidget.sigSetXAxisLogarithmic¶: Signal emitted when X axis scale has changed

PlotWidget.sigSetYAxisLogarithmic¶: Signal emitted when Y axis scale has changed

PlotWidget.sigSetXAxisAutoScale¶: Signal emitted when X axis autoscale has changed

PlotWidget.sigSetYAxisAutoScale¶: Signal emitted when Y axis autoscale has changed

PlotWidget.sigSetKeepDataAspectRatio¶: Signal emitted when plot keep aspect ratio has changed

PlotWidget.sigSetGraphGrid¶: Signal emitted when plot grid has changed

PlotWidget.sigSetGraphCursor¶: Signal emitted when plot crosshair cursor has changed

PlotWidget.sigSetPanWithArrowKeys¶: Signal emitted when pan with arrow keys has changed

PlotWidget.sigContentChanged¶

Signal emitted when the content of the plot is changed.

It provides 3 informations:

action: The change of the plot: ‘add’ or ‘remove’
kind: The kind of primitive changed: ‘curve’, ‘image’, ‘scatter’, ‘histogram’, ‘item’ or ‘marker’
legend: The legend of the primitive changed.

PlotWidget.sigActiveCurveChanged¶

Signal emitted when the active curve has changed.

It provides 2 informations:

previous: The legend of the previous active curve or None
legend: The legend of the new active curve or None if no curve is active

PlotWidget.sigActiveImageChanged¶

Signal emitted when the active image has changed.

It provides 2 informations:

previous: The legend of the previous active image or None
legend: The legend of the new active image or None if no image is active

PlotWidget.sigInteractiveModeChanged¶

Signal emitted when the interactive mode has changed

It provides the source as passed to setInteractiveMode().

`PlotWidget`: Base class for plotting widgets¶

Plot API¶

Plot data¶

Plot markers¶

Remove data from the plot¶

Title and labels¶

Axes limits¶

Axes¶

Reset zoom¶

Defaults¶

Interaction¶

Misc.¶

Signals¶

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PlotWidget: Base class for plotting widgets¶

Plot API¶

Plot data¶

Plot markers¶

Remove data from the plot¶

Title and labels¶

Axes limits¶

Axes¶

Reset zoom¶

Defaults¶

Interaction¶

Misc.¶

Signals¶

`PlotWidget`: Base class for plotting widgets¶