colour.plotting.plot_single_function#

colour.plotting.plot_single_function(function: Callable, samples: Optional[ArrayLike] = None, log_x: Optional[int] = None, log_y: Optional[int] = None, plot_kwargs: Optional[Union[dict, List[dict]]] = None, **kwargs: Any) → Tuple[Figure, Axes][source]#

Plot given function.

Parameters:

function (Callable) – Function to plot.
samples (Optional[ArrayLike]) – Samples to evaluate the functions with.
log_x (Optional[int]) – Log base to use for the x axis scale, if None, the x axis scale will be linear.
log_y (Optional[int]) – Log base to use for the y axis scale, if None, the y axis scale will be linear.
plot_kwargs (Optional[Union[dict, List[dict]]]) – Keyword arguments for the matplotlib.pyplot.plot() definition, used to control the style of the plotted function.
kwargs (Any) – {colour.plotting.artist(), colour.plotting.plot_multi_functions(), colour.plotting.render()}, See the documentation of the previously listed definitions.

Returns:

Current figure and axes.

Return type:

tuple

Examples

>>> from colour.models import gamma_function
>>> plot_single_function(partial(gamma_function, exponent=1 / 2.2))
... 
(<Figure size ... with 1 Axes>, <...AxesSubplot...>)