BoxPlotWidget

class pandas_visual_analysis.widgets.boxplot.BoxPlotWidget(data_source, row, index, relative_size, max_height)

Bases: pandas_visual_analysis.widgets.base_widget.BaseWidget

The BoxPlotWidget displays a box plot for a single column with additional information of mean and standard deviation as a diamond. Per default the plot shows all the points side-by-side in order to select points. This behaviour can be changed to show only the outliers as points or no points at all.

Parameters

• data_source (DataSource) – pandas_visual_analysis.data_source.DataSource for the widget.

• row (int) – The row the widget is in.

• index (int) – Index of the row the widget is in.

• relative_size (float) – The space the widget has in a row which is then converted to the width. (e.g. 0.33 => 33%)

• max_height (int) – height in pixels the plot has to have

apply_size_constraints(widget)

Adds styling to a widget to control the height, width, margin, padding and border. Sets min and max_width to conform to the relative size of the widget, minus the margin. Sets min and max_width to conform to the max_height parameter. Adds a margin to the widget and also a padding with the same size.

Parameters

widget – An IPython widget to which the layout should be applied.

Returns

The same widget with updated layout.

build()

This method returns an IPython Widget root node containing all the children for this widget.

Return type

Widget

observe_brush_indices_change(sender)

This method observes the changes in the brush selection. In order to actually observe changes it has to be registered in set_observers().

Parameters

sender – The instance that sent the signal.

on_deselection(trace, points)

This method implements the behaviour of changes in the deselection of this plot. Should reset the brushed selection of pandas_visual_analysis.data_source.DataSource in order to propagate the change.

Parameters

• trace – The trace object which triggered the deselection.

• points – The object containing the points in the ‘point_inds’ field.

on_selection(trace, points, state)

This method implements the behaviour of changes in the selection of this plot. Should set the brushed indices property of pandas_visual_analysis.data_source.DataSource in order to propagate the change.

Parameters

• trace – The trace object which triggered the selection.

• points – The object containing the points in the ‘point_inds’ field.

• state – State of the input device.