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: text str. The text of the annotation. xy (float, float) The point (x, y) to annotate.

Bold text can be specified with .text or .annotate. matplotlib.pyplot.text. Use the weight or fontweight parameter. matplotlib.pyplot.annotate, which uses the same kwargs as .text. Note: If LaTex fonts, plt.rc('text', usetex=True), are used, weight='bold' may have no effect.

Apr 12, 2020 · The annotate() function in pyplot module of matplotlib library is used to annotate the point xy with text s. Syntax: angle_spectrum(x, Fs=2, Fc=0, window=mlab.window_hanning, pad_to=None, sides=’default’, **kwargs)

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 …

Annotations are graphical elements, often pieces of text, that explain, add context to, or otherwise highlight some portion of the visualized data. annotate supports a number of coordinate systems for flexibly positioning data and annotations relative to each other and a …

Easy solution here: (for jupyter notebooks) "add", lambda sel: sel.annotation.set_text( YOUR_ANOTATION_LIST[sel.target.index] Right click on a dot to show its anotation. Left click on an anotation to close it. Right click and drag on an anotation to move it. With a …

Feb 16, 2022 · In this post, we will focus on a more specific topic which is adding text on matplotlib plot. The following commands are used to create text in the matplotlib plot. This is used for adding text at an arbitrary location of the Axes. This is used for adding an annotation, with an optional arrow, at an arbitrary location of the Axes.

When drawing large and complex Plots in Matplotlib, we need a way of labelling certain portion or points of interest on the graph. To do so, Matplotlib provides us with the “Annotation” feature which allows us to plot arrows and text labels on the graphs to give them more meaning.

Add texts, annotations and arrows to matplotlib charts with the text, figtext and annotate functions. Learn how to customize the font size, color and other styles

You can annotate any point in your chart with text using the annotate() function. The function parameters used in the example below are: text: 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)