DataViewer: Widget to display any kind of data

This module defines a widget designed to display data using to most adapted view from available ones from silx.

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

Widget to display any kind of data

The method setData() allows to set any data to the widget. Mostly numpy.array and h5py.Dataset are supported with adapted views. Other data types are displayed using a text viewer.

A default view is automatically selected when a data is set. The method setDisplayMode() allows to change the view. To have a graphical tool to select the view, prefer using the widget DataViewerFrame.

The dimension of the input data and the expected dimension of the selected view can differ. For example you can display an image (2D) from 4D data. In this case a NumpyAxesSelector is displayed to allow the user to select the axis mapping and the slicing of other axes.

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

displayedViewChanged

Emitted when the displayed view changes

dataChanged

Emitted when the data changes

currentAvailableViewsChanged

Emitted when the current available views (which support the current data) change

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]

clear()

Clear the widget

normalizeData(data)

Returns a normalized data if the embed a numpy or a dataset. Else returns the data.

setDisplayedView(view)

Set the displayed view.

Change the displayed view according to the view itself.

Parameters:view (silx.gui.data.DataViews.DataView) – The DataView to use to display the data

getViewFromModeId(modeId)

Returns the first available view which have the requested modeId.

Parameters:modeId (int) – Requested mode id Return type:silx.gui.data.DataViews.DataView

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
• PLOT3D_MODE: display the data as an isosurface
• RAW_MODE: display the data as a table
• STACK_MODE: display the data as a stack of images
• HDF5_MODE: display the data as a table

displayedView()

Returns the current displayed view.

Return type: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

getSafeViewFromAvailableViews(data, available)

Returns a view which is sure to display something without failing on rendering.

Parameters:

• data (object) – data which will be displayed
• available (list[view]) – List of available views, from highest priority to lowest.

Return type:

DataView

getDefaultViewFromAvailableViews(data, available)

Returns the default view which will be used according to available views.

Parameters:

• data (object) – data which will be displayed
• available (list[view]) – List of available views, from highest priority to lowest.

Return type:

DataView

currentAvailableViews()

Returns the list of available views for the current data

Return type:List[DataView]

availableViews()

Returns the list of registered views

Return type:List[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

displayMode()

Returns the current display mode