Note that fig, ax = plt.subplots() adds a single Axes to a Figure. The pyplot version returns both the Figure object and an array ofĪxes. Pyplot.subplots and Figure.subplots: add a grid of Axes as in the exampleĪbove. fig.add_axes() makes an Axes that fills the whole figure. There are a number of other methods for adding Axes to a Figure:įigure.add_axes: manually position an Axes. In the example above subplots put a grid of subplots on the figure, and axs is a (2, 2) array of Axes, each of which can have data added to them. However, for instance add_axes will manually position an Axes on the page. These methods are discussed in more detail in Creating Figures and Arranging multiple Axes in a Figure. suptitle ( 'plt.subplots()' )Īxes are added using methods on Figure objects, or via the pyplot interface. transAxes, ha = 'center', va = 'center', fontsize = 18, color = 'darkgrey' ) fig. annotate ( f 'axs', ( 0.5, 0.5 ), transform = axs. for row in range ( 2 ): for col in range ( 2 ): axs. subplots ( ncols = 2, nrows = 2, figsize = ( 3.5, 2.5 ), layout = "constrained" ) # for each Axes, add an artist, in this case a nice label in the middle. Import matplotlib.pyplot as plt import numpy as np fig, axs = plt. Material here is duplicate of that in Quick start guide. Note that Axes are so fundamental to the operation of Matplotlib that a lot of Gateway to much of Matplotlib's functionality. Part of the Axes is the Figure itself, so the axes.Axes class is really the Indeed, in the figure above, the only Artist that is not If we want to change the label on the x-axis, weĬall ax.set_xlabel('New Label'), if we want to plot some data we callĪx.plot(x, y). In the picture above, the Axes object was created with ax = fig.subplots().Įverything else on the figure was created with methods on this ax object, An Axes typically has a pair of AxisĪrtists that define the data coordinate system, and include methods to addĪnnotations like x- and y-labels, titles, and legends. Once an Axes is placed on a figure there are many methods that can be used toĪdd data to the Axes. Matplotlib Axes are the gateway to creating your data visualizations.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |