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This example shows how to use different coordinate systems for annotations. For a complete overview of the annotation capabilities, also see the annotation tutorial.
==================
Annotate Transform
==================
This example shows how to use different coordinate systems for annotations.
For a complete overview of the annotation capabilities, also see the
:doc:`annotation tutorial</tutorials/text/annotations>`.
"""
import numpy as np
import matplotlib.pyplot as plt
x = np.arange(0, 10, 0.005)
y = np.exp(-x/2.) * np.sin(2*np.pi*x)
fig, ax = plt.subplots()
ax.plot(x, y)
ax.set_xlim(0, 10)
ax.set_ylim(-1, 1)
xdata, ydata = 5, 0
xdisplay, ydisplay = ax.transData.transform_point((xdata, ydata))
bbox = dict(boxstyle="round", fc="0.8")
arrowprops = dict(
arrowstyle = "->",
connectionstyle = "angle,angleA=0,angleB=90,rad=10")
offset = 72
ax.annotate('data = (%.1f, %.1f)'%(xdata, ydata),
(xdata, ydata), xytext=(-2*offset, offset), textcoords='offset points',
bbox=bbox, arrowprops=arrowprops)
disp = ax.annotate('display = (%.1f, %.1f)'%(xdisplay, ydisplay),
(xdisplay, ydisplay), xytext=(0.5*offset, -offset),
xycoords='figure pixels',
textcoords='offset points',
bbox=bbox, arrowprops=arrowprops)
plt.show()
Traceback (most recent call last):
File "/build/matplotlib-xz4j8t/matplotlib-3.1.2/examples/pyplots/annotate_transform.py", line 1
==================
^
SyntaxError: invalid syntax
The use of the following functions, methods, classes and modules is shown in this example:
import matplotlib
matplotlib.transforms.Transform.transform_point
matplotlib.axes.Axes.annotate
matplotlib.pyplot.annotate
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