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游标演示¶
此示例演示如何使用Matplotlib提供数据游标。它使用Matplotlib来绘制光标,而且速度可能很慢,因为每次鼠标移动都需要重新绘制图形。
使用本机GUI绘图可以更快地进行光标绘制,如 Wx游标演示 .
这个 mpldatacursor 和 mplcursors 第三方软件包也可以达到类似的效果。
import matplotlib.pyplot as plt
import numpy as np
class Cursor:
def __init__(self, ax):
self.ax = ax
self.lx = ax.axhline(color='k') # the horiz line
self.ly = ax.axvline(color='k') # the vert line
# text location in axes coords
self.txt = ax.text(0.7, 0.9, '', transform=ax.transAxes)
def mouse_move(self, event):
if not event.inaxes:
return
x, y = event.xdata, event.ydata
# update the line positions
self.lx.set_ydata(y)
self.ly.set_xdata(x)
self.txt.set_text('x=%1.2f, y=%1.2f' % (x, y))
self.ax.figure.canvas.draw()
class SnaptoCursor:
"""
Like Cursor but the crosshair snaps to the nearest x, y point.
For simplicity, this assumes that *x* is sorted.
"""
def __init__(self, ax, x, y):
self.ax = ax
self.lx = ax.axhline(color='k') # the horiz line
self.ly = ax.axvline(color='k') # the vert line
self.x = x
self.y = y
# text location in axes coords
self.txt = ax.text(0.7, 0.9, '', transform=ax.transAxes)
def mouse_move(self, event):
if not event.inaxes:
return
x, y = event.xdata, event.ydata
indx = min(np.searchsorted(self.x, x), len(self.x) - 1)
x = self.x[indx]
y = self.y[indx]
# update the line positions
self.lx.set_ydata(y)
self.ly.set_xdata(x)
self.txt.set_text('x=%1.2f, y=%1.2f' % (x, y))
print('x=%1.2f, y=%1.2f' % (x, y))
self.ax.figure.canvas.draw()
t = np.arange(0.0, 1.0, 0.01)
s = np.sin(2 * 2 * np.pi * t)
fig, ax = plt.subplots()
ax.plot(t, s, 'o')
cursor = Cursor(ax)
fig.canvas.mpl_connect('motion_notify_event', cursor.mouse_move)
fig, ax = plt.subplots()
ax.plot(t, s, 'o')
snap_cursor = SnaptoCursor(ax, t, s)
fig.canvas.mpl_connect('motion_notify_event', snap_cursor.mouse_move)
plt.show()
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