Annotate Line Title For Free

Basic annotation The uses of the basic text() will place text at an arbitrary position on the Axes. A common use case of text is to annotate some feature of the plot, and the annotate() method provides helper functionality to make annotations easy.

A label is a graphical control element which displays text on a form. It is usually a static control; having no interactivity. A label is generally used to identify a nearby text box or other widget.Unlike a standard label, a link label looks and acts like a hyperlink, and can be selected and activated.

Annotation is a process used in supervised machine learning for training data sets to help machines understand and recognize the input data and act accordingly. Labeling is used to identify key features present in the data while minimizing human involvement.

Titling the Graph The proper form for a graph title is "y-axis variable vs. x-axis variable." For example, if you were comparing the the amount of fertilizer to how much a plant grew, the amount of fertilizer would be the independent, or x-axis variable and the growth would be the dependent, or y-axis variable.

Figures should be:Labeled (under the figure) with the figure number and appropriate descriptive title (Figure can be spelled out Figure 1. or abbreviated Fig. 1. as long as you are consistent). Numbered in the order they appear in the text.

You can annotate any point in your chart with text using the annotate() function....Texttext : The text of the annotation.xy : The point (x,y) to annotate.xytext : The position (x,y) to place the text at (If None, defaults to xy)arrowprops : The properties used to draw an arrow between the positions xy and xytext.

First, annotations can be fully implemented as decorators. You can just define an @annotate decorator and have it take an argument name and a Python expression as arguments and then store them in the target function's annotations attribute. This can be done for Python 2 as well.