matplotlib 仪表动态更新

matplotlib gauge update dynamically

我尝试在 matplotlib 中创建这样的 Gauge:

http://www.highcharts.com/demo/gauge-solid

差不多可以了。这是到目前为止的代码:

    import numpy as np
    import matplotlib.pyplot as plt
    import matplotlib.animation as animation
    from matplotlib.patches import Wedge
    from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as                 FigureCanvas

    from matplotlib.figure import Figure
    import sys,os
    from PyQt4 import QtGui,QtCore

    class MyMplCanvas(FigureCanvas):
        """Ultimately, this is a QWidget (as well as a FigureCanvasAgg, etc.)."""
        def __init__(self, parent=None):
            self.fig = Figure(facecolor='#DBE0E4')
            self.axes = self.fig.add_subplot(111,axisbg='#DBE0E4')
            self.axes.axis('off')
            #here I create the contour of the gauge
            #the two horizontal lines
            x1=[-1,-0.6]
            x2=[0.6,1.0]
            y=[0.004,0.004]
            self.axes.plot(x1,y,color='#646464')
            self.axes.plot(x2,y,color='#646464')
            #and the 2 circles(inner and outer)
            circle1=plt.Circle((0,0),radius=1,fill=False)
            circle1.set_edgecolor('#646464')
            circle1.set_facecolor(None)

            circle2=plt.Circle((0,0),radius=0.6,fill=False)
            circle2.set_edgecolor('#646464')
            circle2.set_facecolor(None)
            self.axes.add_patch(circle1)
            self.axes.add_patch(circle2)

            #Scaling of the figure
            self.axes.axis('scaled')
            self.axes.set_xlim(-1.1,1.1)
            self.axes.set_ylim(0,1.1)

            FigureCanvas.__init__(self, self.fig)
            self.setParent(parent)

            FigureCanvas.updateGeometry(self)


    class Gauge(MyMplCanvas):
        def __init__(self,meter,parent=None):
            MyMplCanvas.__init__(self)


            self.patches=[]
            #here I create the wedge to start
            self.wedge=Wedge((0,0),0.99,1,179,width=0.38,facecolor='#FF0000')
            self.patches.append(self.wedge)
            self.timeClear=0
            self.update_figure()
            #self.Online_meter=meter
            #here starts the update
            timer=QtCore.QTimer(self)
            timer.timeout.connect(self.update_figure)
            timer.start(5000)

        def update_figure(self):
            #here is the update command
            #every 5 sec, I call value from a measurement instrument
            #here I let the program generate random values
            self.timeClear=self.timeClear+1
            #new_data=self.Online_meter.__call__()
            self.wedge.set_theta1(180-np.random.random(1)*10/10*179)
            self.axes.add_patch(self.wedge)    
            self.draw()

到现在为止都有效。编写代码的目的是将其添加为 PyQt 4 程序中的小部件。他们只剩下一个问题:当值更新时,仪表突然变化但我希望看到仪表更新(所以我想看到楔形的角度变化,所以移动缓慢)我希望你们能帮我。 或者也许他们已经是一个很好的库,可以在 pyqt4 GUI 中插入漂亮的仪表?

感谢您提前帮助我!

我自己解决了。在上面的代码中,程序本身会生成一个介于 0-10 之间的数字(在 update_figure 方法中)。假设数字是四。

这意味着在楔形上:

    theta1 = 180-number/10*179  
    #as always theta2:
    theta2 =180 

程序在 5 秒后生成另一个数字(例如:6.5)

这意味着楔形的属性必须改变。

通过在对象 Gauge 的 update_figure 方法中添加 for 循环:

    def update_figure(self):

            self.timeClear=self.timeClear+1
            #the old value becomes temp
            temp=self.new_data
            self.number=np.random.random(1)*10
            self.new_data=180-self.number/10*179

            step=(self.new_data-temp)/10
            for x in range(10):

                self.wedge.set_theta1(temp+step*x)
                self.axes.add_patch(self.wedge)    
                time.sleep(1/10)
                self.draw()

通过将旧数和新数之差除以 10。您可以通过添加此 for 循环轻松地动态缓慢地更改量规,并让楔形自身绘制 1O 次(随着 theta1 的变化从旧号码到新号码的 10 个步骤)休眠时间为 100 毫秒。如果这个解释不清楚可以问我,我会再解释一遍。