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Description
Hi there,
I don't know how to get the SpanSelector working when the plot is created within a class definition. The plot is created but loses it's interactive capabilities. To illustrate this issue I simply put a standard example into a class definition. Has anybody any ideas?
Thanks in advance!!
Working example:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import SpanSelector
# Fixing random state for reproducibility
np.random.seed(19680801)
fig, (ax1, ax2) = plt.subplots(2, figsize=(8, 6))
ax1.set(facecolor='#FFFFCC')
x = np.arange(0.0, 5.0, 0.01)
y = np.sin(2*np.pi*x) + 0.5*np.random.randn(len(x))
ax1.plot(x, y, '-')
ax1.set_ylim(-2, 2)
ax1.set_title('Press left mouse button and drag to test')
ax2.set(facecolor='#FFFFCC')
line2, = ax2.plot(x, y, '-')
def onselect(xmin, xmax):
indmin, indmax = np.searchsorted(x, (xmin, xmax))
indmax = min(len(x) - 1, indmax)
thisx = x[indmin:indmax]
thisy = y[indmin:indmax]
line2.set_data(thisx, thisy)
ax2.set_xlim(thisx[0], thisx[-1])
ax2.set_ylim(thisy.min(), thisy.max())
fig.canvas.draw()
# Set useblit=True on most backends for enhanced performance.
span = SpanSelector(ax1, onselect, 'horizontal', useblit=True,
rectprops=dict(alpha=0.5, facecolor='red'))
plt.show()My code:
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import SpanSelector
# Fixing random state for reproducibility
np.random.seed(19680801)
class SpanTest():
def plot(self):
fig, (ax1, ax2) = plt.subplots(2, figsize=(8, 6))
ax1.set(facecolor='#FFFFCC')
x = np.arange(0.0, 5.0, 0.01)
y = np.sin(2*np.pi*x) + 0.5*np.random.randn(len(x))
ax1.plot(x, y, '-')
ax1.set_ylim(-2, 2)
ax1.set_title('Press left mouse button and drag to test')
ax2.set(facecolor='#FFFFCC')
line2, = ax2.plot(x, y, '-')
def onselect(xmin, xmax):
indmin, indmax = np.searchsorted(x, (xmin, xmax))
indmax = min(len(x) - 1, indmax)
thisx = x[indmin:indmax]
thisy = y[indmin:indmax]
line2.set_data(thisx, thisy)
ax2.set_xlim(thisx[0], thisx[-1])
ax2.set_ylim(thisy.min(), thisy.max())
fig.canvas.draw()
# Set useblit=True on most backends for enhanced performance.
span = SpanSelector(ax1, onselect, 'horizontal', useblit=True,
rectprops=dict(alpha=0.5, facecolor='red'))
plt.show()
st = SpanTest()
st.plot()Matplotlib version
- Operating system: Ubuntu 18.04
- Matplotlib version: 3.0.3
- Matplotlib backend (
print(matplotlib.get_backend())): TkAgg - Python version: 3.6
- Jupyter version (if applicable):
- Other libraries: numpy-version -> 1.16.3
I installed matplotlib via pip. I'm not using conda.
Thank you very much!
Have a great one!
Christian