To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. For example: A list of Artists (lines, patches) to be added to the legend. Use this together with labels, if you need full control on what is shown in the legend and the automatic mechanism described above is not sufficient.

matplotlib.pyplot. annotate (text, xy, xytext = None, xycoords = 'data', textcoords = None, arrowprops = None, annotation_clip = None, ** kwargs) [source] # Annotate the point xy with text text . In the simplest form, the text is placed at xy .

Mar 24, 2022 · We can easily annotate points inside the axis or on the graph with the annotate method of an axes object. In an annotation, there are two points to consider: the location being annotated represented by the argument xy and the location of the text xytext. Both of these arguments are (x,y) tuples.

The following examples show ways to annotate plots in Matplotlib. This includes highlighting specific points of interest and using various visual tools to call attention to this point. For a more complete and in-depth description of the annotation and …

Feb 7, 2013 · I wish to display some text in a Matplotlib plot using annotate(), aligned beneath a legend box. I have examined the solution proposed in How to place a text box directly below legend in matplotlib...

Jul 2, 2017 · The space between the legend and the axes border is dertermined by a parameter borderaxespad, which can be set to zero. To have the legend itself left aligned in the legend box, you may set the legend's _legend_box.align to "left".

Aug 31, 2018 · I am "annotating" many arrows of a certain color to add data to the graph (where events occurred). (example code). Is there a way to add it to the legend? One answer might be to add them manually as I show in the code below, but I guess it is always the last resort. What is the "right" way to do it?

Aug 1, 2024 · In this article, we are going to add a legend to the depicted images using matplotlib module. We will use the matplotlib.pyplot.legend() method to describe and label the elements of the graph and distinguishing different plots from the …

Jul 14, 2017 · To fully document your MatPlotLib graph, you usually have to resort to labels, annotations, and legends. Each of these elements has a different purpose, as follows: Label: Provides positive identification of a particular data element or grouping.

There are classes of artists that can be placed at an anchored location in the Axes. A common example is the legend. This type of artist can be created by using the OffsetBox class. A few predefined classes are available in matplotlib.offsetbox and in mpl_toolkits.axes_grid1.anchored_artists.