matplotlib.github.com/1.4.1/pyplots/annotate_transform.py at main · matplotlib/matplotlib.github.com · GitHub

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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 = plt.figure()

ax = fig.add_subplot(111)

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('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()

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