gsplot.legend#
- legend(target, *, handles=None, labels=None, handler_map=None, loc='best', frameon=False, fancybox=False, labelspacing=0.3, handlelength=None, reverse=False, replace=False, props=None, **kwargs)#
Create publication legends on one or more explicit Axes.
- Parameters:
target (Axes | _AxesBase | Sequence[Axes | _AxesBase] | Mapping[Any, Axes | _AxesBase] | ndarray[tuple[int, ...], dtype[Any]]) – One Axes or a deterministic same-Figure collection of Axes.
handles (Sequence[Artist] | Mapping[object, Sequence[Artist]] | None) – Optional matched entries. Multi-target explicit entries require exact target-key mappings; otherwise Matplotlib discovery is used.
labels (Sequence[str] | Mapping[object, Sequence[str]] | None) – Optional matched entries. Multi-target explicit entries require exact target-key mappings; otherwise Matplotlib discovery is used.
handler_map (Mapping[object, HandlerBase] | None) – Optional local handler mapping; it never changes Matplotlib defaults.
loc (str | int) – Direct publication controls. Defaults are
"best",False,False,0.3, andNonerespectively.frameon (bool) – Direct publication controls. Defaults are
"best",False,False,0.3, andNonerespectively.fancybox (bool) – Direct publication controls. Defaults are
"best",False,False,0.3, andNonerespectively.labelspacing (float) – Direct publication controls. Defaults are
"best",False,False,0.3, andNonerespectively.handlelength (float | None) – Direct publication controls. Defaults are
"best",False,False,0.3, andNonerespectively.reverse (bool) – Reverse each selected entry sequence before construction.
replace (bool) – Remove existing legends only when explicitly set to
True.props (Mapping[str, object] | None) – Finite Matplotlib Legend constructor properties.
**kwargs (Any) – Optional direct Matplotlib Legend constructor properties (e.g.
fontsize,title,framealpha). Direct keyword arguments are merged with and take precedence overprops.
- Returns:
Native Legends in normalized target order. Collection targets skip Axes that have no discovered entries.
- Return type:
matplotlib.legend.LegendortupleofLegend- Raises:
LayoutError – If entries, controls, target, handlers, or properties are invalid.
Examples
>>> import gsplot as gs >>> figure, ax = gs.subplots() >>> gs.line(ax, [0, 1], [0, 1], props={"label": "signal"}) [<matplotlib.lines.Line2D object ...>] >>> item = gs.legend(ax, handlelength=3) >>> item.axes is ax True >>> figure.clear()