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Axes are added using methods on Figure objects, or via the pyplot interface. These methods are discussed in more detail in Creating Figures and Arranging multiple Axes in a Figure. However, for instance add_axes will manually position an Axes on the page.
List of Axes in the Figure. You can access and modify the Axes in the Figure through this list. Do not modify the list itself. Instead, use add_axes, add_subplot or delaxes to add or remove an Axes.
One can use plt.subplots() to make all their subplots at once and it returns the figure and axes (plural of axis) of the subplots as a tuple. A figure can be understood as a canvas where you paint your sketch.
The Axes class represents one (sub-)plot in a figure. It contains the plotted data, axis ticks, labels, title, legend, etc. Its methods are the main interface for manipulating the plot. Table of Contents.
A Figure object is the outermost container for a matplotlib graphic, which can contain multiple Axes objects. One source of confusion is the name: an Axes actually translates into what we think of as an individual plot or graph (rather than the plural of “axis,” as we might expect).
21 wrz 2020 · In-depth tutorial of how matplotlib's figure and axes objects work. Get the intuition behind `fig, ax = plt.subplots()` and its difference with `pyplot`
16 sty 2020 · In this post, I will summarise the differences of these functions (i.e. plt.subplot(), plt.subplots(), plt.axes(), fig.add_subplot(), fig.subplots(), and fig.add_axes()) and demonstrate how to use them accordingly.
