colour.plotting.plot_single_function#
- colour.plotting.plot_single_function(function: 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 function.
- Parameters:
function (Callable) – Function 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 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:
Examples
>>> from colour.models import gamma_function >>> plot_single_function(partial(gamma_function, exponent=1 / 2.2)) ... (<Figure size ... with 1 Axes>, <...Axes...>)