DataViewerFrame: Widget to display any kind of data

This module contains a DataViewer with a view selector.

class silx.gui.data.DataViewerFrame.DataViewerFrame(parent=None)

A DataViewer with a view selector.

This widget provides the same API as DataViewer. Therefore, for more documentation, take a look at the documentation of the class DataViewer.

import numpy
data = numpy.random.rand(500,500)
viewer = DataViewerFrame()
viewer.setData(data)
viewer.setVisible(True)

displayedViewChanged

Emitted when the displayed view changes

dataChanged

Emitted when the data changes

availableViews()

Returns the list of registered views

Return type:List[DataView]

currentAvailableViews()

Returns the list of available views for the current data

Return type:List[DataView]

createDefaultViews(parent=None)

Create and returns available views which can be displayed by default by the data viewer. It is called internally by the widget. It can be overwriten to provide a different set of viewers.

Parameters:parent (QWidget) – QWidget parent of the views Return type:list[silx.gui.data.DataViews.DataView]

addView(view)

Allow to add a view to the dataview.

If the current data support this view, it will be displayed.

Parameters:view (DataView) – A dataview

removeView(view)

Allow to remove a view which was available from the dataview.

If the view was displayed, the widget will be updated.

Parameters:view (DataView) – A dataview

setData(data)

Set the data to view.

It mostly can be a h5py.Dataset or a numpy.ndarray. Other kind of objects will be displayed as text rendering.

Parameters:data (numpy.ndarray) – The data.

data()

Returns the data

setDisplayMode(modeId)

Set the displayed view using display mode.

Change the displayed view according to the requested mode.

Parameters:modeId (int) –

Display mode, one of

• EMPTY_MODE: display nothing
• PLOT1D_MODE: display the data as a curve
• PLOT2D_MODE: display the data as an image
• TEXT_MODE: display the data as a text
• ARRAY_MODE: display the data as a table