(the standard white box with black edges in the typical Matplotlib Which you can use to set the background color and transparency of theįigures. Rectangle exactly the size of the figure, show () Customizing your objects ¶Įvery element in the figure is represented by a MatplotlibĪrtist, and each has an extensive list of randn ( 1000 ), 50, facecolor = 'yellow', edgecolor = 'yellow' ) ax2. plot ( t, s, color = 'blue', lw = 2 ) # Fixing random state for reproducibility np. Import numpy as np import matplotlib.pyplot as plt fig = plt. If you want to createĪn Axes at an arbitrary location, simply use the Rows by columns grid of Subplot instances. Which is just a special case of an Axes that lives on a regular The relevant containers, and draw them when requested. Primitive Artist instances as needed (e.g., Line2D), add them to Will take your data (e.g., numpy arrays and strings) and create Which most of the objects go, and the Axes has many special helperĪxesImage, respectively). This is because the Axes is the plotting area into add_subplot ( 2, 1, 1 ) # two rows, one column, first plotĬlass in the Matplotlib API, and the one you will be working with most

Import matplotlib.pyplot as plt fig = plt. PDF Gtk+, or wxPython FigureCanvas instances, instantiate your Figuresĭirectly and connect them yourselves - but since we are focusing here on theĪrtist API we'll let pyplot handle some of those details

As we willĭiscuss below, this is not necessary - you can work directly with PostScript, With your user interface or drawing toolkit FigureCanvas. In the example below, we create aįigure instance using (), which is aĬonvenience method for instantiating Figure instances and connecting them Subplot instances, and use the Axes instance Standard use is to create a Figure instance, use The containers are places to put them ( Axis, Represent the standard graphical objects we want to paint onto our canvas:

There are two types of Artists: primitives and containers. Spend 95% of their time working with the Artists. The Artist handles all the high level constructs like representingĪnd laying out the figure, text, and lines.

Talking to user interface toolkits like wxPython or drawing languages like PostScript®, and The matplotlib.backend_bases.Renderer is the object which knows howĪnd the is the object that knows how to use The matplotlib.backend_bases.FigureCanvas is the area onto which There are three layers to the Matplotlib API. Using Artist objects to render on the canvas. To download the full example code Artist tutorial ¶

Vizrt artist documentation