graphinglib.Contour.from_function#
- classmethod Contour.from_function(func: Callable[[ArrayLike, ArrayLike], ArrayLike], x_axis_range: tuple[float, float], y_axis_range: tuple[float, float], number_of_levels: int | Literal['default'] = 'default', color_map: str | Colormap | Literal['default'] = 'default', show_color_bar: bool | Literal['default'] = 'default', filled: bool | Literal['default'] = 'default', alpha: float | Literal['default'] = 'default', number_of_points: tuple[int, int] = (500, 500)) Self [source]#
Creates a Contour object from a function.
- Parameters:
- funcCallable[[ArrayLike, ArrayLike], ArrayLike]
Function to be plotted. Works with regular functions and lambda functions.
- x_mesh, y_meshArrayLike
x and y coordinates of the mesh grid.
- z_dataArrayLike
Data for each point of the mesh.
- number_of_levelsint
Number of distinct levels of contour plot. Default depends on the
figure_style
configuration.- color_mapstr or Colormap
The color map to use for the
Heatmap
. Can either be specified as a string (named colormap from Matplotlib) or a Colormap object. Default depends on thefigure_style
configuration.- show_color_barbool
Whether or not to display the color bar next to the plot. Default depends on the
figure_style
configuration.- filledbool
Wheter or not to fill the contour with color. Default depends on the
figure_style
configuration.- alphafloat
Opacity of the filled contour. Default depends on the
figure_style
configuration.
- Returns:
- A
Contour
object from a function.
- A