`plotter.scatter`¶

class `ScatterPlot(Drawable)`¶

Class for creating a scatter plot with error bars.

Attributes:

Name	Type	Description
`x`	NArray1D[Any]	The array containing the x values.
`y`	NArray1D[Any]	The array containing the y values.
`xerr`	NArray1D[Any] or float, optional	The array containing the errors of the x values. If a float is passed, all the errors are assumed identical.
`yerr`	NArray1D[Any] or float, optional	The array containing the errors of the y values. If a float is passed, all the errors are assumed identical.

Raises:

Type	Description
ValueError	If x and y values do not have the same dimensions.
ValueError	If x or y error values do not have the same dimensions as their corresponding data arrays.

Defined attributes:

draw(self, canvas: Canvas, plot_n: int=0, label: str | None=None, **kwargs) -> None

Draws the scatter plot on the canvas.

Args:

Name	Type	Description
`canvas`	Canvas	The canvas object to which the scatter plot is to be attached.
`plot_n`	int, optional	The index of the subplot. Defaults to 0.
`label`	str, optional	The label for the scatter plot in the legend. Defaults to `None`.

Keyword Arguments:

Name	Type	Description
`color`	str	The Matplotlib color of the points. Defaults to "firebrick".
`err_color`	str	The Matplotlib color of the error bars. Defaults to "firebrick".
`marker`	str	The kind of Matplotlib marker to use. Defaults to `"o"`.
`ms`	float	The dimensions of the markers. Defaults to 4.
`err_width`	float	The width of the error bars. Defaults to 1.
`ticks_size`	float	The size of the ticks on the error bars. Defaults to 2.