Posted in Python onJanuary 06, 2021
相对于echarts
等基于JavaScript
的图表库,matplotlib
的交互能力相对较差。
在实际应用中,我们经常想使用十字光标来定位数据坐标,matplotlib
内置提供支持。
官方示例
matplotlib
提供了官方示例https://matplotlib.org/gallery/widgets/cursor.html
from matplotlib.widgets import Cursor import numpy as np import matplotlib.pyplot as plt # Fixing random state for reproducibility np.random.seed(19680801) fig = plt.figure(figsize=(8, 6)) ax = fig.add_subplot(111, facecolor='#FFFFCC') x, y = 4*(np.random.rand(2, 100) - .5) ax.plot(x, y, 'o') ax.set_xlim(-2, 2) ax.set_ylim(-2, 2) # Set useblit=True on most backends for enhanced performance. cursor = Cursor(ax, useblit=True, color='red', linewidth=2) plt.show()
原理
由源码可知,实现十字光标的关键在于widgets
模块中的Cursor
类。class matplotlib.widgets.Cursor(ax, horizOn=True, vertOn=True, useblit=False, **lineprops)
-
ax
:参数类型matplotlib.axes.Axes
,即需要添加十字光标的子图。 -
horizOn
:布尔值,是否显示十字光标中的横线,默认值为显示。 -
vertOn
:布尔值,是否显示十字光标中的竖线,默认值为显示。 -
useblit
:布尔值,是否使用优化模式,默认值为否,优化模式需要后端支持。 -
**lineprops
:十字光标线形属性, 参见axhline
函数支持的属性,https://matplotlib.org/api/_as_gen/matplotlib.axes.Axes.axhline.html#matplotlib.axes.Axes.axhline
。
简化案例
光标改为灰色竖虚线,线宽为1。
from matplotlib.widgets import Cursor import matplotlib.pyplot as plt ax = plt.gca() cursor = Cursor(ax, horizOn=False, vertOn= True, useblit=False, color='grey', linewidth=1,linestyle='--') plt.show()
## Cursor
类源码
class Cursor(AxesWidget): """ A crosshair cursor that spans the axes and moves with mouse cursor. For the cursor to remain responsive you must keep a reference to it. Parameters ---------- ax : `matplotlib.axes.Axes` The `~.axes.Axes` to attach the cursor to. horizOn : bool, default: True Whether to draw the horizontal line. vertOn : bool, default: True Whether to draw the vertical line. useblit : bool, default: False Use blitting for faster drawing if supported by the backend. Other Parameters ---------------- **lineprops `.Line2D` properties that control the appearance of the lines. See also `~.Axes.axhline`. Examples -------- See :doc:`/gallery/widgets/cursor`. """ def __init__(self, ax, horizOn=True, vertOn=True, useblit=False, **lineprops): AxesWidget.__init__(self, ax) self.connect_event('motion_notify_event', self.onmove) self.connect_event('draw_event', self.clear) self.visible = True self.horizOn = horizOn self.vertOn = vertOn self.useblit = useblit and self.canvas.supports_blit if self.useblit: lineprops['animated'] = True self.lineh = ax.axhline(ax.get_ybound()[0], visible=False, **lineprops) self.linev = ax.axvline(ax.get_xbound()[0], visible=False, **lineprops) self.background = None self.needclear = False def clear(self, event): """Internal event handler to clear the cursor.""" if self.ignore(event): return if self.useblit: self.background = self.canvas.copy_from_bbox(self.ax.bbox) self.linev.set_visible(False) self.lineh.set_visible(False) def onmove(self, event): """Internal event handler to draw the cursor when the mouse moves.""" if self.ignore(event): return if not self.canvas.widgetlock.available(self): return if event.inaxes != self.ax: self.linev.set_visible(False) self.lineh.set_visible(False) if self.needclear: self.canvas.draw() self.needclear = False return self.needclear = True if not self.visible: return self.linev.set_xdata((event.xdata, event.xdata)) self.lineh.set_ydata((event.ydata, event.ydata)) self.linev.set_visible(self.visible and self.vertOn) self.lineh.set_visible(self.visible and self.horizOn) self._update() def _update(self): if self.useblit: if self.background is not None: self.canvas.restore_region(self.background) self.ax.draw_artist(self.linev) self.ax.draw_artist(self.lineh) self.canvas.blit(self.ax.bbox) else: self.canvas.draw_idle() return False
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matplotlib绘制鼠标的十字光标的实现(内置方式)
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