wxPython绘图模块wxPyPlot实现数据可视化

本文实例为大家分享了wxPython绘图模块wxPyPlot实现数据可视化的具体代码，供大家参考，具体内容如下

#-*- coding: utf-8 -*-

################################################################################
## 使用wxPython的绘图模块wxPyPlot,需要数据可视化的时候,无需再借用其他的库或模块了
################################################################################
import numpy
import wx
import wx.lib.plot as wxPyPlot #导入绘图模块,并命名为wxPyPlot

#---------------------------------------------------------------------------
# 需要把数据封装进入MyDataObject中
def MyDataObject():
# 50 个点的sin函数,用蓝色圆点表示
data1 = 2.*numpy.pi*numpy.arange(100)/100.
data1.shape = (50, 2)
data1[:,1] = numpy.sin(data1[:,0])
markers = wxPyPlot.PolyMarker(data1, legend='Green Markers', colour='blue', marker='circle',size=1)

# 50个点的cos函数,用红色表示
data2 = 2.*numpy.pi*numpy.arange(100)/100.
data2.shape = (50,2)
data2[:,1] = numpy.cos(data2[:,0])
lines = wxPyPlot.PolySpline(data2, legend= 'Red Line', colour='red')

GraphTitle="Plot Data(Sin and Cos)"

return wxPyPlot.PlotGraphics([markers, lines],GraphTitle, "X Axis", "Y Axis")
#-----------------------------------------------------------------------------
class TestFrame1(wx.Frame):
def __init__(self, parent=None, id=wx.ID_ANY, title="Using wxPyPlot"):
 wx.Frame.__init__(self, parent, id, title,size=(600, 400))

# 创建菜单栏
 self.mainmenu = wx.MenuBar()

menu = wx.Menu()
 menu.Append(100, 'Draw1', 'Draw plots1')
 self.Bind(wx.EVT_MENU,self.OnPlotDraw1, id=100)

self.mainmenu.Append(menu, '&Plot')

self.SetMenuBar(self.mainmenu)

# 创建状态栏,显示信息
 self.CreateStatusBar(2)

self.pc = wxPyPlot.PlotCanvas(self) #此处导入绘图面板

def OnPlotDraw1(self, event): #绘图函数
 self.pc.Draw(MyDataObject())

###########################################################################
## 测试wxPyPlot的代码
###########################################################################
if __name__=='__main__':
 app = wx.App()
 tf=TestFrame1(None)
 tf.Show()
 app.MainLoop()

来源：https://blog.csdn.net/rumswell/article/details/6568889