matplotlib绘制多子图共享鼠标光标的方法示例
程序员文章站
2022-06-25 14:59:29
matplotlib官方除了提供了鼠标十字光标的示例,还提供了同一图像内多子图共享光标的示例,其功能主要由widgets模块中的multicursor类提供支持。multicursor类与cursor...
matplotlib
官方除了提供了鼠标十字光标的示例,还提供了同一图像内多子图共享光标的示例,其功能主要由widgets
模块中的multicursor
类提供支持。
multicursor
类与cursor
类参数类似,差异主要在:
-
cursor
类参数只有一个ax
,即需要显示光标的子图;multicursor
类参数为canvas
和axes
,其中axes
为需要共享光标的子图列表。 -
cursor
类中,光标默认是十字线;multicursor
类中,光标默认为竖线。
官方示例
import numpy as np import matplotlib.pyplot as plt from matplotlib.widgets import multicursor t = np.arange(0.0, 2.0, 0.01) s1 = np.sin(2*np.pi*t) s2 = np.sin(4*np.pi*t) fig, (ax1, ax2) = plt.subplots(2, sharex=true) ax1.plot(t, s1) ax2.plot(t, s2) multi = multicursor(fig.canvas, (ax1, ax2), color='r', lw=1) plt.show()
简易修改版
multi = multicursor(fig.canvas, (ax1, ax2), color='r', lw=1, horizon=true, verton=true)
multicursor
类源码
class multicursor(widget): """ provide a vertical (default) and/or horizontal line cursor shared between multiple axes. for the cursor to remain responsive you must keep a reference to it. example usage:: from matplotlib.widgets import multicursor import matplotlib.pyplot as plt import numpy as np fig, (ax1, ax2) = plt.subplots(nrows=2, sharex=true) t = np.arange(0.0, 2.0, 0.01) ax1.plot(t, np.sin(2*np.pi*t)) ax2.plot(t, np.sin(4*np.pi*t)) multi = multicursor(fig.canvas, (ax1, ax2), color='r', lw=1, horizon=false, verton=true) plt.show() """ def __init__(self, canvas, axes, useblit=true, horizon=false, verton=true, **lineprops): self.canvas = canvas self.axes = axes self.horizon = horizon self.verton = verton xmin, xmax = axes[-1].get_xlim() ymin, ymax = axes[-1].get_ylim() xmid = 0.5 * (xmin + xmax) ymid = 0.5 * (ymin + ymax) self.visible = true self.useblit = useblit and self.canvas.supports_blit self.background = none self.needclear = false if self.useblit: lineprops['animated'] = true if verton: self.vlines = [ax.axvline(xmid, visible=false, **lineprops) for ax in axes] else: self.vlines = [] if horizon: self.hlines = [ax.axhline(ymid, visible=false, **lineprops) for ax in axes] else: self.hlines = [] self.connect() def connect(self): """connect events.""" self._cidmotion = self.canvas.mpl_connect('motion_notify_event', self.onmove) self._ciddraw = self.canvas.mpl_connect('draw_event', self.clear) def disconnect(self): """disconnect events.""" self.canvas.mpl_disconnect(self._cidmotion) self.canvas.mpl_disconnect(self._ciddraw) def clear(self, event): """clear the cursor.""" if self.ignore(event): return if self.useblit: self.background = ( self.canvas.copy_from_bbox(self.canvas.figure.bbox)) for line in self.vlines + self.hlines: line.set_visible(false) def onmove(self, event): if self.ignore(event): return if event.inaxes is none: return if not self.canvas.widgetlock.available(self): return self.needclear = true if not self.visible: return if self.verton: for line in self.vlines: line.set_xdata((event.xdata, event.xdata)) line.set_visible(self.visible) if self.horizon: for line in self.hlines: line.set_ydata((event.ydata, event.ydata)) line.set_visible(self.visible) self._update() def _update(self): if self.useblit: if self.background is not none: self.canvas.restore_region(self.background) if self.verton: for ax, line in zip(self.axes, self.vlines): ax.draw_artist(line) if self.horizon: for ax, line in zip(self.axes, self.hlines): ax.draw_artist(line) self.canvas.blit() else: self.canvas.draw_idle()
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