Annotate 2 1 4

1. Annotate 2 1 4 Commentary
2. Annotation 212 G 2 B

Annotating text with Matplotlib.

Table of Contents

Annotate figures including: i) ggplots, ii) arranged ggplots from ggarrange, grid.arrange and plotgrid. R Enterprise Training; R package.

• Annotations
  • Advanced Annotations
  • Advanced Topics

The uses of the basic text() will place textat an arbitrary position on the Axes. A common use case of text is toannotate some feature of the plot, and theannotate() method provides helper functionalityto make annotations easy. In an annotation, there are two points toconsider: the location being annotated represented by the argumentxy and the location of the text xytext. Both of thesearguments are (x,y) tuples.

In this example, both the xy (arrow tip) and xytext locations(text location) are in data coordinates. There are a variety of othercoordinate systems one can choose -- you can specify the coordinatesystem of xy and xytext with one of the following strings forxycoords and textcoords (default is 'data')

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For example to place the text coordinates in fractional axescoordinates, one could do:

For physical coordinate systems (points or pixels) the origin is thebottom-left of the figure or axes.

Optionally, you can enable drawing of an arrow from the text to the annotatedpoint by giving a dictionary of arrow properties in the optional keywordargument arrowprops.

In the example below, the xy point is in native coordinates(xycoords defaults to 'data'). For a polar axes, this is in(theta, radius) space. The text in this example is placed in thefractional figure coordinate system. matplotlib.text.Textkeyword arguments like horizontalalignment, verticalalignment andfontsize are passed from annotate to theText instance.

Annotation Polar¶

For more on all the wild and wonderful things you can do withannotations, including fancy arrows, see Advanced Annotationsand Annotating Plots.

Do not proceed unless you have already read Basic annotation,text() and annotate()!

Let's start with a simple example.

text takes a bbox keyword argument, which draws a box around thetext:

The patch object associated with the text can be accessed by:

The return value is a FancyBboxPatch; patch properties(facecolor, edgewidth, etc.) can be accessed and modified as usual.FancyBboxPatch.set_boxstyle sets the box shape:

The arguments are the name of the box style with its attributes askeyword arguments. Currently, following box styles are implemented.

Note that the attribute arguments can be specified within the stylename with separating comma (this form can be used as 'boxstyle' valueof bbox argument when initializing the text instance)

annotate draws an arrow connecting two points in an axes:

This annotates a point at xy in the given coordinate (xycoords)with the text at xytext given in textcoords. Often, theannotated point is specified in the data coordinate and the annotatingtext in offset points.See annotate for available coordinate systems.

An arrow connecting xy to xytext can be optionally drawn byspecifying the arrowprops argument. To draw only an arrow, useempty string as the first argument.

Annotate Simple01¶

The arrow is drawn as follows:

1. A path connecting the two points is created, as specified by theconnectionstyle parameter.
2. The path is clipped to avoid patches patchA and patchB, if these areset.
3. The path is further shrunk by shrinkA and shrinkB (in pixels).
4. The path is transmuted to an arrow patch, as specified by the arrowstyleparameter.

The creation of the connecting path between two points is controlled byconnectionstyle key and the following styles are available.

Note that '3' in angle3 and arc3 is meant to indicate that theresulting path is a quadratic spline segment (three controlpoints). As will be discussed below, some arrow style options can onlybe used when the connecting path is a quadratic spline.

The behavior of each connection style is (limitedly) demonstrated in theexample below. (Warning: The behavior of the bar style is currently notwell defined, it may be changed in the future).

The connecting path (after clipping and shrinking) is then mutated toan arrow patch, according to the given arrowstyle.

Some arrowstyles only work with connection styles that generate aquadratic-spline segment. They are fancy, simple, and wedge.For these arrow styles, you must use the 'angle3' or 'arc3' connectionstyle.

If the annotation string is given, the patchA is set to the bbox patchof the text by default.

Annotate Simple02¶

As with text, a box around the text can be drawn using the bboxargument.

By default, the starting point is set to the center of the textextent. This can be adjusted with relpos key value. The valuesare normalized to the extent of the text. For example, (0, 0) meanslower-left corner and (1, 1) means top-right.

Annotate Simple04¶

There are classes of artists that can be placed at an anchoredlocation in the Axes. A common example is the legend. This typeof artist can be created by using the OffsetBox class. A fewpredefined classes are available in matplotlib.offsetbox and inmpl_toolkits.axes_grid1.anchored_artists.

Anchored Box01¶

The loc keyword has same meaning as in the legend command.

A simple application is when the size of the artist (or collection ofartists) is known in pixel size during the time of creation. Forexample, If you want to draw a circle with fixed size of 20 pixel x 20pixel (radius = 10 pixel), you can utilizeAnchoredDrawingArea. The instance is created with a size of thedrawing area (in pixels), and arbitrary artists can added to thedrawing area. Note that the extents of the artists that are added tothe drawing area are not related to the placement of the drawingarea itself. Only the initial size matters.

The artists that are added to the drawing area should not have atransform set (it will be overridden) and the dimensions of thoseartists are interpreted as a pixel coordinate, i.e., the radius of thecircles in above example are 10 pixels and 5 pixels, respectively.

Anchored Box02¶

Sometimes, you want your artists to scale with the data coordinate (orcoordinates other than canvas pixels). You can useAnchoredAuxTransformBox class. This is similar toAnchoredDrawingArea except that the extent of the artist isdetermined during the drawing time respecting the specified transform.

The ellipse in the above example will have width and heightcorresponding to 0.1 and 0.4 in data coordinates and will beautomatically scaled when the view limits of the axes change.

Anchored Box03¶ Davinci resolve studio 14 3 – professional color correction pen.

As in the legend, the bbox_to_anchor argument can be set. Using theHPacker and VPacker, you can have an arrangement(?) of artist as in thelegend (as a matter of fact, this is how the legend is created).

Note that unlike the legend, the bbox_transform is setto IdentityTransform by default.

The Annotation in matplotlib supports several types of coordinates asdescribed in Basic annotation. For an advanced user who wantsmore control, it supports a few other options.

1. A Transform instance. For example,

   is identical to

   This allows annotating a point in another axes:

2. An Artist instance. The xy value (or xytext) is interpreted as afractional coordinate of the bbox (return value of get_window_extent) ofthe artist:

   Annotation with Simple Coordinates¶

   Note that you must ensure that the extent of the coordinate artist (an1 inabove example) is determined before an2 gets drawn. Usually, this meansthat an2 needs to be drawn after an1.

3. A callable object that takes the renderer instance as single argument, andreturns either a Transform or a BboxBase. The return value is thenhandled as in (1), for transforms, or in (2), for bboxes. For example,

   is identical to:

4. A pair of coordinate specifications -- the first for the x-coordinate, andthe second is for the y-coordinate; e.g.

   Coreldraw graphics suite 2019. Here, 0.5 is in data coordinates, and 1 is in normalized axes coordinates.Each of the coordinate specifications can also be an artist or a transform.For example,

   Annotation with Simple Coordinates 2¶

5. Sometimes, you want your annotation with some 'offset points', not from theannotated point but from some other point. text.OffsetFrom is a helperfor such cases.

   You may take a look at this exampleAnnotating Plots.

ConnectionPatch is like an annotation without text. While annotateis sufficient in most situations, ConnectionPatch is useful when you want toconnect points in different axes.

The above code connects point xy in the data coordinates of ax1 topoint xy in the data coordinates of ax2. Here is a simple example.

Connect Simple01¶

Here, we added the ConnectionPatch to the figure (with add_artist)rather than to either axes: this ensures that it is drawn on top of both axes,and is also necessary if using constrained_layout for positioning the axes.

mpl_toolkits.axes_grid1.inset_locator defines some patch classes useful forinterconnecting two axes. Understanding the code requires some knowledge ofMatplotlib's transform system.

You can use a custom box style. The value for the boxstyle can be acallable object in the following forms.:

Here is a complete example.

Custom Boxstyle01¶

Similarly, you can define a custom ConnectionStyle and a custom ArrowStyle.See the source code of lib/matplotlib/patches.py and checkhow each style class is defined.

Keywords: matplotlib code example, codex, python plot, pyplotGallery generated by Sphinx-Gallery

You can annotate several things in your Webex meetings, for example, you can share your screen and annotate whatever is visible on it. You can also upload a document or add a whiteboard to the meeting to annotate with your meeting participants. Learn more about sharing content here: Share Content in Cisco Webex Meetings.

Annotate 2 1 4 Commentary

Before you can start annotating, you need to enable the Annotate toolbar. Choose one of the options below to enable your Annotate toolbar:

• If you're sharing your screen, go to the Controls panel at the top of your screen and click Annotate.

• If you're sharing a document or a whiteboard, but not your screen, click Annotate on the Controls panel on the left.

Annotation 212 G 2 B

The Annotate toolbar appears on the left side of your Webex meeting. See the Annotate toolbar table below for a detailed list of your annotate options.