mpl_interactions.interactive_axhline¶
-
interactive_axhline
(y=0, xmin=0, xmax=1, ax=None, slider_formats=None, force_ipywidgets=False, play_buttons=False, controls=None, display_controls=True, **kwargs)[source]¶ Control an horizontal line using widgets.
- Parameters
y (float or function) – y position in data coordinates of the horizontal line.
xmin (float or function) – Should be between 0 and 1, 0 being the far left of the plot, 1 the far right of the plot.
xmax (float or function) – Should be between 0 and 1, 0 being the far left of the plot, 1 the far right of the plot.
ax (matplotlib axis, optional) – If None a new figure and axis will be created
slider_formats (None, string, or dict) – If None a default value of decimal points will be used. Uses the new {} style formatting
force_ipywidgets (boolean) – If True ipywidgets will always be used, even if not using the ipympl backend. If False the function will try to detect if it is ok to use ipywidgets If ipywidgets are not used the function will fall back on matplotlib widgets
play_buttons (bool or str or dict, optional) – Whether to attach an ipywidgets.Play widget to any sliders that get created. If a boolean it will apply to all kwargs, if a dictionary you choose which sliders you want to attach play buttons too.
None: no sliders
True: sliders on the lft
False: no sliders
‘left’: sliders on the left
‘right’: sliders on the right
controls (mpl_interactions.controller.Controls) – An existing controls object if you want to tie multiple plot elements to the same set of controls
display_controls (boolean) – Whether the controls should display themselve on creation. Ignored if controls is specified.
- Returns
controls