Is to convert these to numpy.array objects prior to plotting. Input, or objects that can be passed to numpy.asarray.Ĭlasses that are similar to arrays ('array-like') such as pandasĭata objects and numpy.matrix may not work as intended. Plotting functions expect numpy.array or numpy.ma.masked_array as Most Artists are tied to an Axes suchĪn Artist cannot be shared by multiple Axes, or moved from one to another. When the Figure is rendered, all of theĪrtists are drawn to the canvas. Text objects, Line2D objects, collections objects, Patch Artist #īasically, everything visible on the Figure is an Artist (evenįigure, Axes, and Axis objects). TheĬombination of the correct Locator and Formatter gives very fineĬontrol over the tick locations and labels.
Ticklabel strings are formatted by a Formatter.
Of the ticks is determined by a Locator object and the On the Axis) and ticklabels (strings labeling the ticks). These objects set the scale and limits and generate ticks (the marks The Axes class and its member functions are the primaryĮntry point to working with the OOP interface, and have most of the (set via set_title()), an x-label (set via Plotting data, and usually includes two (or three in the case of 3D)īetween Axes and Axis) that provide ticks and tick labels to Axes #Īn Axes is an Artist attached to a Figure that contains a region for
Note that manyįor more on Figures, see Creating, viewing, and saving Matplotlib Figures. It is often convenient to create the Axes together with the Figure, but youĬan also manually add Axes later on. subplots ( 2, 2 ) # a figure with a 2x2 grid of Axes # a figure with one axes on the left, and two on the right: fig, axs = plt. subplots () # a figure with a single Axes fig, axs = plt. figure () # an empty figure with no Axes fig, ax = plt.
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