colour.plotting.plot_multi_functions#

colour.plotting.plot_multi_functions(functions: Dict[str, Callable], samples: ArrayLike | None = None, log_x: int | None = None, log_y: int | None = None, plot_kwargs: dict | List[dict] | None = None, **kwargs: Any) → Tuple[plt.Figure, plt.Axes][source]#

Plot given functions.

Parameters:

  • functions (Dict[str, Callable]) – Functions to plot.

  • samples (ArrayLike | None) – Samples to evaluate the functions with.

  • log_x (int | None) – Log base to use for the x axis scale, if None, the x axis scale will be linear.

  • log_y (int | None) – Log base to use for the y axis scale, if None, the y axis scale will be linear.

  • plot_kwargs (dict | List[dict] | None) – Keyword arguments for the matplotlib.pyplot.plot() definition, used to control the style of the plotted functions. plot_kwargs can be either a single dictionary applied to all the plotted functions with the same settings or a sequence of dictionaries with different settings for each plotted function.

  • kwargs (Any) – {colour.plotting.artist(), colour.plotting.render()}, See the documentation of the previously listed definitions.

Returns:

Current figure and axes.

Return type:

tuple

Examples

>>> functions = {
...     "Gamma 2.2": lambda x: x ** (1 / 2.2),
...     "Gamma 2.4": lambda x: x ** (1 / 2.4),
...     "Gamma 2.6": lambda x: x ** (1 / 2.6),
... }
>>> plot_multi_functions(functions)
... 
(<Figure size ... with 1 Axes>, <...Axes...>)
plot_multi_functions