Python使用Slider组件实现调整曲线参数功能示例

Python  /  管理员 发布于 7年前   356

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 npimport matplotlib.pyplot as pltfrom matplotlib.widgets import Slider,Button,RadioButtonsfig, 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=5,3s = 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.valfreq = sfreq.vall.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 +0.05if ampValue >10:ampValue =0.1samp.set_val(ampValue)freqValue = sfreq.val +0.05if freqValue >30:freqValue =0.1sfreq.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

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希望本文所述对大家Python程序设计有所帮助。