API

pyplot

Control the output of standard plotting functions such as plot and hist using sliders and other widgets. When using the ipympl backend these functions will leverage ipywidgets for the controls, otherwise they will use the built-in Matplotlib widgets.

interactive_plot

Control a plot using widgets

interactive_hist

Control the contents of a histogram using widgets.

interactive_scatter

Control a scatter plot using widgets.

interactive_imshow

Control an image using widgets.

interactive_axhline

Control an horizontal line using widgets.

interactive_axvline

Control a vertical line using widgets.

generic

Functions that will be useful irrespective of backend.

heatmap_slicer

Compare horizontal and/or vertical slices across multiple arrays.

zoom_factory

Add ability to zoom with the scroll wheel.

panhandler

Enable panning a plot with any mouse button.

image_segmenter

Manually segment an image with the lasso selector.

hyperslicer

View slices from a hyperstack of images selected by sliders.

utilities

Functions that make some features in Matplotlib a bit more convenient.

ioff

A context manager for turning interactive mode off.

figure

Matplotlib figure but a scalar figsize will multiply rcParams figsize.

nearest_idx

Return the index of the array that is closest to value.

indexer

Utility function for when you want to index an array as part of an interactive function.

widgets

Custom matplotlib widgets made for use in this library.

scatter_selector

A widget for selecting a point in a scatter plot.

scatter_selector_value

A widget for selecting a point in a scatter plot.

scatter_selector_index

A widget for selecting a point in a scatter plot.