Python使用Slider组件实现调整曲线参数功能示例
人气:0本文实例讲述了Python使用Slider组件实现调整曲线参数功能。分享给大家供大家参考,具体如下:
一 代码
import numpy as np import matplotlib.pyplot as plt from matplotlib.widgets import Slider,Button,RadioButtons fig, ax = plt.subplots() plt.subplots_adjust(left=0.1, bottom=0.25) t = np.arange(0.0,1.0,0.001) #初始振幅与频率,并绘制初始图形 a0, f0=5,3 s = a0*np.sin(2*np.pi*f0*t) l,= plt.plot(t, s, lw=2, color='red') #设置坐标轴刻度范围 plt.axis([0,1,-10,10]) axColor ='lightgoldenrodyellow' #创建两个Slider组件,分别设置位置/尺寸、背景色和初始值 axfreq = plt.axes([0.1,0.1,0.75,0.03], axisbg=axColor) sfreq =Slider(axfreq,'Freq',0.1,30.0, valinit=f0) axamp = plt.axes([0.1,0.15,0.75,0.03], axisbg=axColor) samp =Slider(axamp,'Amp',0.1,10.0, valinit=a0) #为Slider组件设置事件处理函数 def update(event): #获取Slider组件的当前值,并以此来更新图形 amp = samp.val freq = sfreq.val l.set_ydata(amp*np.sin(2*np.pi*freq*t)) plt.draw() #fig.canvas.draw_idle() sfreq.on_changed(update) samp.on_changed(update) def adjustSliderValue(event): ampValue = samp.val +0.05 if ampValue >10: ampValue =0.1 samp.set_val(ampValue) freqValue = sfreq.val +0.05 if freqValue >30: freqValue =0.1 sfreq.set_val(freqValue) update(event) axAdjust = plt.axes([0.6,0.025,0.1,0.04]) buttonAdjust =Button(axAdjust,'Adjust', color=axColor, hovercolor='red') buttonAdjust.on_clicked(adjustSliderValue) #创建按钮组件,用来恢复初始值 resetax = plt.axes([0.8,0.025,0.1,0.04]) button =Button(resetax,'Reset', color=axColor, hovercolor='yellow') def reset(event): sfreq.reset() samp.reset() button.on_clicked(reset) ###用来控制图形颜色的 ##rax = plt.axes([0.025, 0.5, 0.15, 0.15], axisbg=axColor) ##radio = RadioButtons(rax, ('red', 'blue', 'green'), active=0) ##def colorfunc(label): ## l.set_color(label) ## fig.canvas.draw_idle() ##radio.on_clicked(colorfunc) plt.show()
二 运行结果
希望本文所述对大家Python程序设计有所帮助。
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