matplotlib 3.5.1

ParametersReturnsBackRef
annotate(self, text, xy, *args, **kwargs)

In the simplest form, the text is placed at xy.

Optionally, the text can be displayed in another position xytext. An arrow pointing from the text to the annotated point xy can then be added by defining arrowprops.

Parameters

text : str

The text of the annotation.

xy : (float, float)

The point (x, y) to annotate. The coordinate system is determined by xycoords.

xytext : (float, float), default: *xy*

The position (x, y) to place the text at. The coordinate system is determined by textcoords.

xycoords : str or `.Artist` or `.Transform` or callable or (float, float), default: 'data'

The coordinate system that xy is given in. The following types of values are supported:

  • One of the following strings:

    ==================== ============================================ Value Description ==================== ============================================ 'figure points' Points from the lower left of the figure 'figure pixels' Pixels from the lower left of the figure 'figure fraction' Fraction of figure from lower left 'subfigure points' Points from the lower left of the subfigure 'subfigure pixels' Pixels from the lower left of the subfigure 'subfigure fraction' Fraction of subfigure from lower left 'axes points' Points from lower left corner of axes 'axes pixels' Pixels from lower left corner of axes 'axes fraction' Fraction of axes from lower left 'data' Use the coordinate system of the object being annotated (default) 'polar' (theta, r) if not native 'data' coordinates ==================== ============================================

    Note that 'subfigure pixels' and 'figure pixels' are the same for the parent figure, so users who want code that is usable in a subfigure can use 'subfigure pixels'.

  • An .Artist : xy is interpreted as a fraction of the artist's ~matplotlib.transforms.Bbox . E.g. (0, 0) would be the lower left corner of the bounding box and (0.5, 1) would be the center top of the bounding box.

  • A .Transform to transform xy to screen coordinates.

  • A function with one of the following signatures:

    def transform(renderer) -> Bbox
    def transform(renderer) -> Transform

    where renderer is a .RendererBase subclass.

    The result of the function is interpreted like the .Artist and .Transform cases above.

  • A tuple (xcoords, ycoords) specifying separate coordinate systems for x and y. xcoords and ycoords must each be of one of the above described types.

See plotting-guide-annotation for more details.

textcoords : str or `.Artist` or `.Transform` or callable or (float, float), default: value of *xycoords*

The coordinate system that xytext is given in.

All xycoords values are valid as well as the following strings:

================= ========================================= Value Description ================= ========================================= 'offset points' Offset (in points) from the xy value 'offset pixels' Offset (in pixels) from the xy value ================= =========================================

arrowprops : dict, optional

The properties used to draw a .FancyArrowPatch arrow between the positions xy and xytext. Defaults to None, i.e. no arrow is drawn.

For historical reasons there are two different ways to specify arrows, "simple" and "fancy":

Simple arrow:

If arrowprops does not contain the key 'arrowstyle' the allowed keys are:

========== ====================================================== Key Description ========== ====================================================== width The width of the arrow in points headwidth The width of the base of the arrow head in points headlength The length of the arrow head in points shrink Fraction of total length to shrink from both ends ? Any key to matplotlib.patches.FancyArrowPatch ========== ======================================================

The arrow is attached to the edge of the text box, the exact position (corners or centers) depending on where it's pointing to.

Fancy arrow:

This is used if 'arrowstyle' is provided in the arrowprops.

Valid keys are the following ~matplotlib.patches.FancyArrowPatch parameters:

=============== ================================================== Key Description =============== ================================================== arrowstyle the arrow style connectionstyle the connection style relpos see below; default is (0.5, 0.5) patchA default is bounding box of the text patchB default is None shrinkA default is 2 points shrinkB default is 2 points mutation_scale default is text size (in points) mutation_aspect default is 1. ? any key for matplotlib.patches.PathPatch =============== ==================================================

The exact starting point position of the arrow is defined by relpos. It's a tuple of relative coordinates of the text box, where (0, 0) is the lower left corner and (1, 1) is the upper right corner. Values <0 and >1 are supported and specify points outside the text box. By default (0.5, 0.5) the starting point is centered in the text box.

annotation_clip : bool or None, default: None

Whether to draw the annotation when the annotation point xy is outside the axes area.

  • If True, the annotation will only be drawn when xy is within the axes.

  • If False, the annotation will always be drawn.

  • If None, the annotation will only be drawn when xy is within the axes and xycoords is 'data'.

**kwargs :

Additional kwargs are passed to ~matplotlib.text.Text .

Returns

`.Annotation`

Annotate the point xy with text text.

See Also

plotting-guide-annotation

ref

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

matplotlib.pyplot.bar_label matplotlib.axes._axes.Axes.bar_label

Local connectivity graph

Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.

Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)

SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them


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