Note
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Span Selector#
The SpanSelector
is a mouse widget that enables selecting a range on an
axis.
Here, an x-range can be selected on the upper axis; a detailed view of the selected range is then plotted on the lower axis.
Note
If the SpanSelector object is garbage collected you will lose the interactivity. You must keep a hard reference to it to prevent this.
import matplotlib.pyplot as plt
import numpy as np
from matplotlib.widgets import SpanSelector
# Fixing random state for reproducibility
np.random.seed(19680801)
fig, (ax1, ax2) = plt.subplots(2, figsize=(8, 6))
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 select a region in the top graph')
line2, = ax2.plot([], [])
def onselect(xmin, xmax):
indmin, indmax = np.searchsorted(x, (xmin, xmax))
indmax = min(len(x) - 1, indmax)
region_x = x[indmin:indmax]
region_y = y[indmin:indmax]
if len(region_x) >= 2:
line2.set_data(region_x, region_y)
ax2.set_xlim(region_x[0], region_x[-1])
ax2.set_ylim(region_y.min(), region_y.max())
fig.canvas.draw_idle()
span = SpanSelector(
ax1,
onselect,
"horizontal",
useblit=True,
props=dict(alpha=0.5, facecolor="tab:blue"),
interactive=True,
drag_from_anywhere=True
)
# Set useblit=True on most backends for enhanced performance.
plt.show()
References
The use of the following functions, methods, classes and modules is shown in this example:
Total running time of the script: (0 minutes 1.164 seconds)