当我点击底图Matplotlib图中的一个点时,我正在使用此代码在地图上弹出注释。
dcc = DataCursor(self.figure.gca())
self.figure.canvas.mpl_connect('pick_event',dcc)
plot_handle.set_picker(5)
self.figure.canvas.draw()
class DataCursor(object):
import matplotlib.pyplot as plt
text_template = 'x: %0.2f\ny: %0.2f'
x, y = 0.0, 0.0
xoffset, yoffset = -20 , 20
text_template = 'A: %s\nB: %s\nC: %s'
def __init__(self, ax):
self.ax = ax
self.annotation = ax.annotate(self.text_template,
xy=(self.x, self.y), xytext=(0,0),
textcoords='axes fraction', ha='left', va='bottom', fontsize=10,
bbox=dict(boxstyle='round,pad=0.5', fc='yellow', alpha=1),
arrowprops=dict(arrowstyle='->', connectionstyle='arc3,rad=0')
)
self.annotation.set_visible(False)
self.annotation.draggable()
def __call__(self, event):
self.event = event
self.x, self.y = event.mouseevent.xdata, event.mouseevent.ydata
if self.x is not None:
glim = pickle.load(open("ListA.py","rb"))
tlim = pickle.load(open("ListB.py","rb"))
vlim = pickle.load(open("ListC.py","rb"))
a = glim[event.ind[0]] # ['Name'][event.ind[0]]
b = tlim[event.ind[0]]
c = vlim[event.ind[0]]
temp_temp=self.text_template % (a, b, c)
if temp_temp == self.annotation.get_text() and self.annotation.get_visible():
self.annotation.set_visible(False)
event.canvas.draw()
return
self.annotation.xy = self.x, self.y
self.annotation.set_text(self.text_template % (a, b, c))
self.annotation.set_visible(True)
event.canvas.draw()
我想知道的是,如何使用鼠标悬停而不是单击某个点来显示注释?
我看过“motion_notify_event”,但是当我在绘图区域移动鼠标时,代码似乎会出错。有什么想法?
答案 0 :(得分:8)
from matplotlib.pyplot import figure, show
import numpy as npy
from numpy.random import rand
if 1: # picking on a scatter plot (matplotlib.collections.RegularPolyCollection)
x, y, c, s = rand(4, 100)
def onpick3(event):
ind = event.ind
print 'onpick3 scatter:', ind, npy.take(x, ind), npy.take(y, ind)
fig = figure()
ax1 = fig.add_subplot(111)
col = ax1.scatter(x, y, 100*s, c, picker=True)
#fig.savefig('pscoll.eps')
fig.canvas.mpl_connect('pick_event', onpick3)
show()
答案 1 :(得分:0)
from mpl_toolkits.basemap import Basemap
import matplotlib.pyplot as plt
lat = 20.5937
lon = 78.9629
points_with_annotation = list()
#Event is set for any movement and annotations are set to visible when on points with anotation
def on_move(event):
visibility_changed = False
for point, annotation in points_with_annotation:
should_be_visible = (point.contains(event)[0] == True)
if should_be_visible != annotation.get_visible():
visibility_changed = True
annotation.set_visible(should_be_visible)
if visibility_changed:
plt.draw()
fig = plt.figure()
ax = plt.axes()
m = Basemap(projection='mill', llcrnrlat=-90, llcrnrlon=-180, urcrnrlat=90, urcrnrlon=180, resolution='c')
m.fillcontinents(color='white', lake_color='white')
m.drawcoastlines(linewidth=0.5, color='k')
m.drawcountries(linewidth=0.5, color='k')
m.drawmapboundary(fill_color='white')
xpt, ypt = m(lon,lat)
point, = m.plot(xpt, ypt, marker='o', markersize=5, alpha=0.85, visible=True)
annotation = ax.annotate("Lat: %s Lon: %s" % (lat,lon),
xy=(xpt, ypt), xycoords='data',
xytext=(xpt + 1, ypt), textcoords='data',
horizontalalignment="left",
arrowprops=dict(arrowstyle="simple",
connectionstyle="arc3,rad=-0.2"),
bbox=dict(boxstyle="round", facecolor="w",
edgecolor="0.5", alpha=0.9)
)
annotation.set_visible(False)
points_with_annotation.append([point, annotation])
on_move_id = fig.canvas.mpl_connect('motion_notify_event', on_move)
plt.show()
以下是在地图上绘制坐标并在悬停期间启用弹出窗口的代码。我从这个问题的答案中得到了on_move
事件的代码:Matplotlib basemap: Popup box
希望这会有所帮助。