While there's nothing wrong with Ofri's answer, annotate
is intended especially for this purpose:
import matplotlib.pyplot as plt
import numpy as np
x = np.arange(61).astype(np.float)
y1 = np.exp(0.1 * x)
y2 = np.exp(0.09 * x)
plt.plot(x, y1)
plt.plot(x, y2)
for var in (y1, y2):
plt.annotate('%0.2f' % var.max(), xy=(1, var.max()), xytext=(8, 0),
xycoords=('axes fraction', 'data'), textcoords='offset points')
plt.show()
This places the text 8 points to the right of the right side of the axis, at the maximum y-value for each plot. You can also add in arrows, etc. See http://matplotlib.sourceforge.net/users/annotations_guide.html (You can also change the vertical alignment, if you want the text vertically centered on the given y-value. Just specify va='center'
.)
Also, this doesn't rely on tick locations, so it will work perfectly for log plots, etc. Giving the location of the text in terms of the positions of the axis boundaries and its offset in points has a lot of advantages if you start rescaling the plot, etc.
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