I am trying to create a interactive plot containing 4 subplots. Ideally clicking on one of the subplots would result the same (mirror click) in the rest of them.
Until now I was only able to individually click on them and get the specific data using mpldatacursor.
Here in this plot one click event would result in all 4 graphs displaying the corresponding data for x,y,z:
import matplotlib.pyplot as plt
import numpy as np
from mpldatacursor import datacursor
fig, ((ax1,ax2),(ax3,ax4)) = plt.subplots(nrows=2,
ncols=2,sharex=True, sharey=True, figsize=(60, 20))
plt.subplots_adjust(wspace=0.08, hspace=0.08)
ax1.imshow(np.random.random((10,10)))
ax2.imshow(np.random.random((10,10)))
ax3.imshow(np.random.random((10,10)))
ax4.imshow(np.random.random((10,10)))
datacursor(display='multiple',formatter='x:{x:.0f}\n y:{y:.0f}\n z:
{z}'.format,draggable=True,fontsize=10)
plt.show()
Annotating several images at once is not possible with the mpldatacursor
package you use. But you may write your own "datacursor", which annotates the images.
This could then look as follows.
import matplotlib.pyplot as plt
import numpy as np
fig, ((ax1,ax2),(ax3,ax4)) = plt.subplots(nrows=2,
ncols=2,sharex=True, sharey=True)
plt.subplots_adjust(wspace=0.08, hspace=0.08)
ax1.imshow(np.random.random((10,10)))
ax2.imshow(np.random.random((10,10)))
ax3.imshow(np.random.random((10,10)))
ax4.imshow(np.random.random((10,10)))
class ImageCursor():
def __init__(self, axes, fmt='x:{x}\ny:{y}\nz:{z:.3f}'):
self.fmt = fmt
self.axes = axes
self.fig = self.axes[0].figure
self.ims = []
self.annot = []
for ax in self.axes:
ax.images[0].set_picker(True)
self.ims.append(ax.images[0])
annot = ax.annotate("",xy=(0,0), xytext=(-30,30),
textcoords="offset points",
arrowprops=dict(arrowstyle="->",color="w",
connectionstyle="arc3"),
va="bottom", ha="left", fontsize=10,
bbox=dict(boxstyle="round", fc="w"),)
annot.set_visible(False)
self.annot.append(annot)
self.cid = self.fig.canvas.mpl_connect("pick_event", self.pick)
def pick(self,event):
e = event.mouseevent
if e.inaxes:
x,y = int(np.round(e.xdata)), int(np.round(e.ydata))
self.annotate((x,y))
def annotate(self,X):
for annot, im in zip(self.annot, self.ims):
z = im.get_array()[X[0],X[1]]
annot.set_visible(True)
annot.set_text(self.fmt.format(x=X[0],y=X[1],z=z))
annot.xy = X
self.fig.canvas.draw_idle()
ic = ImageCursor([ax1,ax2,ax3,ax4])
plt.show()
来源:https://stackoverflow.com/questions/48423236/reflect-event-handling-on-multiple-subplots