Encuentre aquí una solución completa sobre cómo mostrar una imagen en eventos de desplazamiento. Utiliza un 'motion_notify_event' para detectar cuando el mouse está sobre un punto de dispersión (flotando). Si este es el caso, muestra una anotación de imagen con una imagen correspondiente al lado del punto de dispersión flotante.

 import matplotlib.pyplot as plt from matplotlib.offsetbox import OffsetImage, AnnotationBbox import numpy as np; np.random.seed(42) # Generate data x, y for scatter and an array of images. x = np.arange(20) y = np.random.rand(len(x)) arr = np.empty((len(x),10,10)) for i in range(len(x)): f = np.random.rand(5,5) arr[i, 0:5,0:5] = f arr[i, 5:,0:5] =np.flipud(f) arr[i, 5:,5:] =np.fliplr(np.flipud(f)) arr[i, 0:5:,5:] = np.fliplr(f) # create figure and plot scatter fig = plt.figure() ax = fig.add_subplot(111) line, = ax.plot(x,y, ls="", marker="o") # create the annotations box im = OffsetImage(arr[0,:,:], zoom=5) xybox=(50., 50.) ab = AnnotationBbox(im, (0,0), xybox=xybox, xycoords='data', boxcoords="offset points", pad=0.3, arrowprops=dict(arrowstyle="->")) # add it to the axes and make it invisible ax.add_artist(ab) ab.set_visible(False) def hover(event): # if the mouse is over the scatter points if line.contains(event)[0]: # find out the index within the array from the event ind, = line.contains(event)[1]["ind"] # get the figure size w,h = fig.get_size_inches()*fig.dpi ws = (event.x > w/2.)*-1 + (event.x <= w/2.) hs = (event.y > h/2.)*-1 + (event.y <= h/2.) # if event occurs in the top or right quadrant of the figure, # change the annotation box position relative to mouse. ab.xybox = (xybox[0]*ws, xybox[1]*hs) # make annotation box visible ab.set_visible(True) # place it at the position of the hovered scatter point ab.xy =(x[ind], y[ind]) # set the image corresponding to that point im.set_data(arr[ind,:,:]) else: #if the mouse is not over a scatter point ab.set_visible(False) fig.canvas.draw_idle() # add callback for mouse moves fig.canvas.mpl_connect('motion_notify_event', hover) plt.show()

Si desea que sus imágenes se muestren en RGB, debe ajustar ligeramente el código. Para este ejemplo, las imágenes deben estar en su disco. En lugar de usar un 3darray para las imágenes donde la primera dimensión solo representa el índice, necesita leer la imagen con plt.imread y luego establecer_data en la posición correspondiente en su matriz que contiene los nombres de las imágenes.

 import matplotlib.pyplot as plt from matplotlib.offsetbox import OffsetImage, AnnotationBbox import numpy as np; np.random.seed(42) import os os.chdir('Path/to/your/images') # Generate data x, y for scatter and an array of images. x = np.arange(3) y = np.random.rand(len(x)) jpg_name_np = np.array(['904646.jpg', '903825.jpg', '905722.jpg']).astype('<U12') # names of your images files cmap = plt.cm.RdYlGn # create figure and plot scatter fig = plt.figure() ax = fig.add_subplot(111) #line, = ax.plot(x,y, ls="", marker="o") line = plt.scatter(x,y,c=heat, s=10, cmap=cmap) image_path = np.asarray(jpg_name_np) # create the annotations box image = plt.imread(image_path[0]) im = OffsetImage(image, zoom=0.1) xybox=(50., 50.) ab = AnnotationBbox(im, (0,0), xybox=xybox, xycoords='data', boxcoords="offset points", pad=0.3, arrowprops=dict(arrowstyle="->")) # add it to the axes and make it invisible ax.add_artist(ab) ab.set_visible(False) def hover(event): # if the mouse is over the scatter points if line.contains(event)[0]: # find out the index within the array from the event ind, = line.contains(event)[1]["ind"] # get the figure size w,h = fig.get_size_inches()*fig.dpi ws = (event.x > w/2.)*-1 + (event.x <= w/2.) hs = (event.y > h/2.)*-1 + (event.y <= h/2.) # if event occurs in the top or right quadrant of the figure, # change the annotation box position relative to mouse. ab.xybox = (xybox[0]*ws, xybox[1]*hs) # make annotation box visible ab.set_visible(True) # place it at the position of the hovered scatter point ab.xy =(x[ind], y[ind]) # set the image corresponding to that point im.set_data(plt.imread(image_path[ind])) else: #if the mouse is not over a scatter point ab.set_visible(False) fig.canvas.draw_idle() # add callback for mouse moves fig.canvas.mpl_connect('motion_notify_event', hover) fig = plt.gcf() fig.set_size_inches(10.5, 9.5) plt.show()

Trazar al pasar el cursor sobre el punto de dispersión