colour.plotting.common.KwargsRender#

class colour.plotting.common.KwargsRender[source]#

Define the keyword argument types for the colour.plotting.render() definition.

Parameters:

figure (matplotlib.figure.Figure) – Figure to apply the render elements onto.
axes (matplotlib.axes._axes.Axes) – Axes to apply the render elements onto.
filename (str) – Figure will be saved using given filename argument.
show (bool) – Whether to show the figure and call matplotlib.pyplot.show() definition.
aspect (Literal['auto', 'equal'] | float) – Matplotlib axes aspect.
axes_visible (bool) – Whether the axes are visible. Default is True.
bounding_box (ArrayLike) – Array defining current axes limits such bounding_box = (x min, x max, y min, y max).
tight_layout (bool) – Whether to invoke the matplotlib.pyplot.tight_layout() definition.
legend (bool) – Whether to display the legend. Default is False.
legend_columns (int) – Number of columns in the legend. Default is 1.
transparent_background (bool) – Whether to turn off the background patch. Default is True.
title (str) – Figure title.
wrap_title (bool) – Whether to wrap the figure title. Default is True.
x_label (str) – X axis label.
y_label (str) – Y axis label.
x_ticker (bool) – Whether to display the X axis ticker. Default is True.
y_ticker (bool) – Whether to display the Y axis ticker. Default is True.

Methods

`__init__`(args, *kwargs)
`clear`()
`copy`()
`fromkeys`([value])	Create a new dictionary with keys from iterable and values set to value.
`get`(key[, default])	Return the value for key if key is in the dictionary, else default.
`items`()
`keys`()
`pop`(k[,d])	If the key is not found, return the default if given; otherwise, raise a KeyError.
`popitem`()	Remove and return a (key, value) pair as a 2-tuple.
`setdefault`(key[, default])	Insert key with a value of default if key is not in the dictionary.
`update`([E, ]**F)	If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
`values`()

Attributes