![]() optionally turn on a connecting line and mark the point with a marker. # annotate is a method that belongs to axesĪx.set_xlim(min(x)-offset, max(x)+ offset)Īx.set_ylim(min(y)-offset, max(y)+ offset)Ĭorr = -0.05 # adds a little correction to put annotation in marker's centrumĪx. The following examples show how it is possible to annotate plots in Matplotlib. ![]() ![]() Here an offset is define to let you control the marginal space. Matplotlib supports multiple categories of markers which are selected using the marker parameter of plot commands: Unfilled markers Filled markers Markers created from TeX symbols Markers created from Paths For a list of all markers see also the matplotlib.markers documentation. To override the default x- and y-limits you can use set_xlim and set_ylim. fig, axs plt.subplots(ncols2) fig.suptitleFilled markers, fontsize14) for ax, markers in zip(axs, splitlist(Line2D.filledmarkers)): for y, marker in enumerate(markers): ax.text(-0.5, y, repr(marker), textstyle) ax. You want to position text in the plot but your plot also uses string tick labels, so you can't just use annotate ('some-text', ('a', 4)) because you need actual integer x,y coordinates. Something like textstr 'This is the square marker: ' ax.text (0.05, 0. It results in your outer markers having their centers on the very edge of the figure, and only half of the markers are visible. Hi: I want to use the symbol corresponding to a marker in a text annotation. The function's xy-argument let you position the text so that you can place it on the marker's position.Ībout your "zoom" problem, matplotlib will by default stretch the frame between the smallest and largest values you are plotting. As jkalden suggested, annotate would solve your problem.
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