matplotlib/examples/pyplots/annotate_transform.py at main · quantfns/matplotlib · GitHub

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"""

==================

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((xdata, ydata))

bbox = dict(boxstyle="round", fc="0.8")

arrowprops = dict(

arrowstyle="->",

connectionstyle="angle,angleA=0,angleB=90,rad=10")

offset = 72

ax.annotate(

f'data = ({xdata:.1f}, {ydata:.1f})',

(xdata, ydata),

xytext=(-2*offset, offset), textcoords='offset points',

bbox=bbox, arrowprops=arrowprops)

ax.annotate(

f'display = ({xdisplay:.1f}, {ydisplay:.1f})',

xy=(xdisplay, ydisplay), xycoords='figure pixels',

xytext=(0.5*offset, -offset), textcoords='offset points',

bbox=bbox, arrowprops=arrowprops)

plt.show()

#############################################################################

# .. admonition:: References

# The use of the following functions, methods, classes and modules is shown

# in this example:

# - `matplotlib.transforms.Transform.transform`

# - `matplotlib.axes.Axes.annotate` / `matplotlib.pyplot.annotate`

matplotlib/examples/pyplots/annotate_transform.py at main · quantfns/matplotlib · GitHub

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