matplotlib中的點和線工具提示？

Question

我有一些線段（LineCollection）和一些點的圖形。這些線條和點有一些與它們不相關的值。我希望能夠添加鼠標懸停的工具提示或其他輕鬆找到點和線的關聯值的方法。這是可能的點或線段嗎？

Answer 1

對於分，我已經找到一種方法，但你必須使用WX後端

"""Example of how to use wx tooltips on a matplotlib figure window. 
Adapted from http://osdir.com/ml/python.matplotlib.devel/2006-09/msg00048.html""" 

import matplotlib as mpl 
mpl.use('WXAgg') 
mpl.interactive(False) 

import pylab as pl 
from pylab import get_current_fig_manager as gcfm 
import wx 
import numpy as np 
import random 


class wxToolTipExample(object): 
    def __init__(self): 
     self.figure = pl.figure() 
     self.axis = self.figure.add_subplot(111) 

     # create a long tooltip with newline to get around wx bug (in v2.6.3.3) 
     # where newlines aren't recognized on subsequent self.tooltip.SetTip() calls 
     self.tooltip = wx.ToolTip(tip='tip with a long %s line and a newline\n' % (' '*100)) 
     gcfm().canvas.SetToolTip(self.tooltip) 
     self.tooltip.Enable(False) 
     self.tooltip.SetDelay(0) 
     self.figure.canvas.mpl_connect('motion_notify_event', self._onMotion) 

     self.dataX = np.arange(0, 100) 
     self.dataY = [random.random()*100.0 for x in xrange(len(self.dataX))] 
     self.axis.plot(self.dataX, self.dataY, linestyle='-', marker='o', markersize=10, label='myplot') 

    def _onMotion(self, event): 
     collisionFound = False 
     if event.xdata != None and event.ydata != None: # mouse is inside the axes 
      for i in xrange(len(self.dataX)): 
       radius = 1 
       if abs(event.xdata - self.dataX[i]) < radius and abs(event.ydata - self.dataY[i]) < radius: 
        top = tip='x=%f\ny=%f' % (event.xdata, event.ydata) 
        self.tooltip.SetTip(tip) 
        self.tooltip.Enable(True) 
        collisionFound = True 
        break 
     if not collisionFound: 
      self.tooltip.Enable(False) 



example = wxToolTipExample() 
pl.show() 

Answer 2

也許在this recipe的變化會做你想要什麼點？至少它不限於wx後端。

Answer 3

這是一個古老的線程，但萬一有人正在尋找如何將工具提示添加到線，這工作：

import matplotlib.pyplot as plt 
import numpy as np 
import mpld3 

f, ax = plt.subplots() 
x1 = np.array([0,100], int) 
x2 = np.array([10,110], int) 
y = np.array([0,100], int) 

line = ax.plot(x1, y) 
mpld3.plugins.connect(f, mpld3.plugins.LineLabelTooltip(line[0], label='label 1')) 

line = ax.plot(x2, y) 
mpld3.plugins.connect(f, mpld3.plugins.LineLabelTooltip(line[0], label='label 2')) 

mpld3.show()