`plotter.drawables.lines`¶

class `LinePlot(Drawable)`¶

Class for creating a line plot from raw (x, y) data to be drawn on a canvas.

Attributes:

Name	Type	Description
`x`	NArray1D[Any]	The values of the independent variable.
`y`	NArray1D[Any]	The values of the dependent variable.

Raises:

Type	Description
ValueError	If x and y do not have the same dimensions.

Defined attributes:

from_y(cls, y: NArray1D[Any], **kwargs) -> 'LinePlot'

Builds a LinePlot from just y-values, using an implicit index range for x.

Args:

Name	Type	Description
`y`	NArray1D[Any]	The values of the dependent variable.

Keyword Arguments:

Name	Type	Description
``	-	Any keyword argument accepted by `LinePlot`'s constructor other than `x`/`y`.

Returns:

Type	Description
-	A line plot with `x = numpy.arange(len(y))`.

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

Draws the plot on the canvas.

Args:

Name	Type	Description
`canvas`	Canvas \| ZoomInset	The canvas (or zoom-inset panel) to draw the plot on.
`plot_n`	int, optional	The index of the subplot. Defaults to 0.
`label`	str, optional	The label for the plot in the legend. Defaults to `None`.

Keyword Arguments:

Name	Type	Description
`color`	str	The Matplotlib color of the plot. Defaults to "darkgreen".
`lw`	float	The line width. Defaults to 1.5.
`style`	str	The line style. Defaults to `"-"`.
`alpha`	float	The opacity of the line. Defaults to 1.0.
`inverted`	bool	If `True`, plots the inverse function. Defaults to `False`.