I have this code:
from pylab import *
from mpl_toolkits.axes_grid.anchored_artists import AnchoredText
import numpy as np
import matplotlib.pylab as plt
fig = plt.figure()
ax = fig.add_subplot(111)
ann = AnchoredText('If you zoom in or out, i stay here\nbut can you update this text?',
prop=dict(size=8), frameon=True,
loc=2,
)
ann.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
ax.add_artist(ann)
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = (Z1 - Z2) * 10
plt.contourf(X, Y, Z)
plt.show()
Is there a way to anchor text to be always visible but to also be able to use a set_text
method like in text objects to update the containing text?
Here i used AnchoredText which is anchored perfectly but i cannot find a method to change the text it contains.
In AnchoredText Matplotlib documentation i cannot find such a method available.
If it cannot be done with AnchoredText can it be done with a simple text object?
EDIT
I accepted the solution from David Zwicker and here is a working example for anyone in need of it:
from pylab import *
from mpl_toolkits.axes_grid.anchored_artists import AnchoredText
import numpy as np
import matplotlib.pylab as plt
import random
fig = plt.figure()
ax = fig.add_subplot(111)
ann = AnchoredText('If you zoom in or out, i stay here\nbut can you update this text?$4.1f$ km s$^{-1}$',
prop=dict(size=15), frameon=True,
loc=2,
)
ann.patch.set_boxstyle("round,pad=0.,rounding_size=0.2")
ax.add_artist(ann)
delta = 0.025
x = np.arange(-3.0, 3.0, delta)
y = np.arange(-2.0, 2.0, delta)
X, Y = np.meshgrid(x, y)
Z1 = bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0)
Z2 = bivariate_normal(X, Y, 1.5, 0.5, 1, 1)
Z = (Z1 - Z2) * 10
plt.contourf(X, Y, Z)
a = ["hhhhh", "qqqqq", "aaaaaaa","ttttt","yyyyy","oooooooo"]
def setanntext(self):
ann.txt.set_text(random.choice(a))
plt.draw()
buttonax = plt.axes([0.7, 0.05, 0.1, 0.1])
button = Button(buttonax, 'set text',color='0.85', hovercolor='0.95')
button.on_clicked(setanntext)
plt.show()
You can access the attribute txt
. You can update the anchored text using
ann.txt.set_text('new text')
plt.draw()
The plt.draw()
is necessary to update the plot and show the new text.