graphinglib.Contour#

class graphinglib.Contour(x_mesh: ArrayLike, y_mesh: ArrayLike, z_data: ArrayLike, 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')[source]#

This class implements contour plots.

Parameters:
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 the figure_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.

Methods

__init__(x_mesh, y_mesh, z_data[, ...])

This class implements contour plots.

copy()

Returns a deep copy of the Contour.

from_function(func, x_axis_range, y_axis_range)

Creates a Contour object from a function.