matplotlib.pyplot.annotate

matplotlib.pyplot.annotate(text, xy, *args, **kwargs)[source]

Annotate the point xy with text text.

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
textstr

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.

xycoordsstr 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 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 Advanced Annotations for more details.

textcoordsstr 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

arrowpropsdict, optional

The properties used to draw a FancyArrowPatch arrow between the positions xy and xytext. Note that the edge of the arrow pointing to xytext will be centered on the text itself and may not point directly to the coordinates given in xytext.

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

If arrowprops contains the key 'arrowstyle' the above keys are forbidden. The allowed values of 'arrowstyle' are:

Name

Attrs

'-'

None

'->'

head_length=0.4,head_width=0.2

'-['

widthB=1.0,lengthB=0.2,angleB=None

'|-|'

widthA=1.0,widthB=1.0

'-|>'

head_length=0.4,head_width=0.2

'<-'

head_length=0.4,head_width=0.2

'<->'

head_length=0.4,head_width=0.2

'<|-'

head_length=0.4,head_width=0.2

'<|-|>'

head_length=0.4,head_width=0.2

'fancy'

head_length=0.4,head_width=0.4,tail_width=0.4

'simple'

head_length=0.5,head_width=0.5,tail_width=0.2

'wedge'

tail_width=0.3,shrink_factor=0.5

Valid keys for FancyArrowPatch are:

Key

Description

arrowstyle

the arrow style

connectionstyle

the connection style

relpos

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

Defaults to None, i.e. no arrow is drawn.

annotation_clipbool 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 Text.

Returns
Annotation

Examples using matplotlib.pyplot.annotate