Matplotlib - Working With Text

Matplotlib has extensive text support, including support for mathematical expressions, TrueType support for raster and vector outputs, newline separated text with arbitrary rotations, and unicode support. Matplotlib includes its own matplotlib.font_manager which implements a cross platform, W3C compliant font finding algorithm.

The user has a great deal of control over text properties (font size, font weight, text location and color, etc.). Matplotlib implements a large number of TeX math symbols and commands.

The following list of commands are used to create text in the Pyplot interface −

text Add text at an arbitrary location of the Axes.
annotate Add an annotation, with an optional arrow, at an arbitrary location of theAxes.
xlabel Add a label to the Axes’s x-axis.
ylabel Add a label to the Axes’s y-axis.
title Add a title to the Axes.
figtext Add text at an arbitrary location of the Figure.
suptitle Add a title to the Figure.

All of these functions create and return a matplotlib.text.Text() instance.

Following scripts demonstrate the use of some of the above functions −

import matplotlib.pyplot as plt
fig = plt.figure()

ax = fig.add_axes([0,0,1,1])

ax.set_title('axes title')
ax.set_xlabel('xlabel')
ax.set_ylabel('ylabel')
ax.text(3, 8, 'boxed italics text in data coords', style='italic', 
bbox = {'facecolor': 'red'})
ax.text(2, 6, r'an equation: $E = mc^2$', fontsize = 15)
ax.text(4, 0.05, 'colored text in axes coords',
verticalalignment = 'bottom', color = 'green', fontsize = 15)
ax.plot([2], [1], 'o')
ax.annotate('annotate', xy = (2, 1), xytext = (3, 4),
arrowprops = dict(facecolor = 'black', shrink = 0.05))
ax.axis([0, 10, 0, 10])
plt.show()

The above line of code will generate the following output −

Working With Text
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