cytoflow.utility.matplotlib_widgets

Additional widgets to be used with matplotlib

class cytoflow.utility.matplotlib_widgets.PolygonSelector(ax, callback=None, useblit=True)[source]

Bases: matplotlib.widgets.AxesWidget

Selection polygon.

The selected path can be used in conjunction with contains_point() to select data points from an image.

Parameters:
  • ax (Axes) – The parent axes for the widget.
  • callback (callable) – When the user double-clicks, the polygon closes and the callback function is called and passed the vertices of the selected path.
onpress(event)[source]
onmove(event)[source]
class cytoflow.utility.matplotlib_widgets.SpanSelector(ax, onselect, minspan=None, useblit=False, onmove_callback=None, span_stays=False, button=None)[source]

Bases: matplotlib.widgets._SelectorWidget

Adapted from https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/widgets.py

Visually select a min/max range on a single axis and call a function with those values.

To guarantee that the selector remains responsive, keep a reference to it. In order to turn off the SpanSelector, set span_selector.active=False. To turn it back on, set span_selector.active=True.

Parameters:
  • ax (matplotlib.axes.Axes object)

  • onselect (func(min, max), min/max are floats)

  • direction (“horizontal” or “vertical”) – The axis along which to draw the span selector

  • minspan (float, default is None) – If selection is less than minspan, do not call onselect

  • useblit (bool, default is False) – If True, use the backend-dependent blitting features for faster canvas updates.

  • onmove_callback (func(min, max), min/max are floats, default is None) – Called on mouse move while the span is being selected

  • span_stays (bool, default is False) – If True, the span stays visible after the mouse is released

  • button (int or list of ints) –

    Determines which mouse buttons activate the span selector

    1 = left mouse button

    2 = center mouse button (scroll wheel)

    3 = right mouse button

Examples

>>> import matplotlib.pyplot as plt
>>> import matplotlib.widgets as mwidgets
>>> fig, ax = plt.subplots()
>>> ax.plot([1, 2, 3], [10, 50, 100])
>>> def onselect(vmin, vmax):
        print(vmin, vmax)
>>> span = mwidgets.SpanSelector(ax, onselect, 'horizontal')
>>> fig.show()
See also: :ref:`sphx_glr_gallery_widgets_span_selector.py`
new_axes(ax)[source]

Set SpanSelector to operate on a new Axes

ignore(event)[source]

return True if event should be ignored

class cytoflow.utility.matplotlib_widgets.Cursor(ax, horizOn=True, vertOn=True, useblit=False, **lineprops)[source]

Bases: matplotlib.widgets.AxesWidget

A horizontal and vertical line that spans the axes and moves with the pointer. You can turn off the hline or vline respectively with the following attributes:

horizOn
Controls the visibility of the horizontal line
vertOn
Controls the visibility of the horizontal line

and the visibility of the cursor itself with the visible attribute.

For the cursor to remain responsive you must keep a reference to it.

Adapted from https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/widgets.py

clear(event)[source]

clear the cursor

onmove(event)[source]

on mouse motion draw the cursor if visible