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Annotating is any action that deliberately interacts with a text to enhance the reader's understanding of, recall of, and reaction to the text. Sometimes called "close reading," annotating usually involves highlighting or underlining key pieces of text and making notes in the margins of the text.

The annotate() function in the pyplot module (or annotate method of the Axes class) is used to draw an arrow connecting two points on the plot. This annotates a point at xy in the given coordinate ( xycoords ) with the text at xytext given in textcoords .

1. : a note added by way of comment or explanation. The bibliography was provided with helpful annotations. 2. : the act of annotating something.

Type annotations are used by code linters and if using an IDE will always highlight the arguments if these aren't of the correct type. There are third-party libraries like mypy which can be used for static type checking.

The annotate() function allows to add all kind of shape on a ggplot2 chart. The first argument will control what kind is used: rect or segment for rectangle, segment or arrow. # Add rectangles p + annotate("rect", xmin=c(2,4), xmax=c(3,5), ymin=c(20,10) , ymax=c(30,20), alpha=0.2, color="blue", fill="blue")

Line Annotation is frequently used to draw attention to important parts of a document or to show the process flow of a diagram. Line Annotation is used to focus on one or more pieces of information to provide further explanations.

__annotations__ is a dict that provides some annotations about global(?) variables, classes, class attributes, function parameters and return types.

Using '__annotations__' : The function annotations in the above code can be accessed by a special attribute '__annotations__'. It outputs the dictionary having a special key 'return' and other keys having name of the annotated arguments. The following code will print the annotations.

Annotating is any action that deliberately interacts with a text to enhance the reader's understanding of, recall of, and reaction to the text. Sometimes called "close reading," annotating usually involves highlighting or underlining key pieces of text and making notes in the margins of the text.

The annotate() function in the pyplot module (or annotate method of the Axes class) is used to draw an arrow connecting two points on the plot. This annotates a point at xy in the given coordinate ( xycoords ) with the text at xytext given in textcoords .

1. : a note added by way of comment or explanation. The bibliography was provided with helpful annotations. 2. : the act of annotating something.

Type annotations are used by code linters and if using an IDE will always highlight the arguments if these aren't of the correct type. There are third-party libraries like mypy which can be used for static type checking.

The annotate() function allows to add all kind of shape on a ggplot2 chart. The first argument will control what kind is used: rect or segment for rectangle, segment or arrow. # Add rectangles p + annotate("rect", xmin=c(2,4), xmax=c(3,5), ymin=c(20,10) , ymax=c(30,20), alpha=0.2, color="blue", fill="blue")

Line Annotation is frequently used to draw attention to important parts of a document or to show the process flow of a diagram. Line Annotation is used to focus on one or more pieces of information to provide further explanations.

__annotations__ is a dict that provides some annotations about global(?) variables, classes, class attributes, function parameters and return types.

Using '__annotations__' : The function annotations in the above code can be accessed by a special attribute '__annotations__'. It outputs the dictionary having a special key 'return' and other keys having name of the annotated arguments. The following code will print the annotations.