#-*- 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 as np
import wx
import wx.lib.plot as wxPyPlot # 导入绘图模块,并命名为wxPyPlot
import wave
import pylab as pl

# 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.*np.pi*np.arange(100)/100.
    data1.shape = (50, 2)
    data1[:, 1] = np.sin(data1[:, 0])
    print ("debug:", data1.shape)
    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.*np.pi*np.arange(100)/100.
    data2.shape = (50, 2)
    print ("debug: data2", len(data2))
    data2[:, 1] = np.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")

# 解析wav数据
def MyWavData(wav_filename):
    print('working')
    # 打开wav文档
    file = wave.open(r"mic4.wav", "rb")

    # 读取格式信息
    # (nchannels, sampwidth,framerate, nframes, comptype, compname)
    params = file.getparams()
    nchannels, sampwidth, framerate, nframes = params[:4]
    print (nchannels, sampwidth, framerate, nframes)

    # 读取波形数据
    str_data = file.readframes(nframes)
    # 文件使用完毕,关闭文件
    file.close()

    # 将波形数据装换成数组
    wave_data = np.fromstring(str_data, dtype=np.short)
    wave_data.shape = (-1, 2)

    wave_data = wave_data.T  # 矩阵转置
    time = np.arange(0, nframes) * (1.0 / framerate)

    # print ("debug: time:", len(time))
    # print ("debug: wave_data:", len(wave_data[0][0:len(time)]))
    # print ("debug: time:", time)
    # print ("debug: wave:", wave_data)

    time_and_wav = np.asarray([time, wave_data[0][0:len(time)]]).T
    print ("debug: len of time and wav: ", len(time_and_wav))
    print ("debug: time and wav: ", time_and_wav.shape)

    lines = wxPyPlot.PolySpline(time_and_wav, legend='Blue Line', colour='blue')

    GraphTitle = "the freq of wav file"
    return wxPyPlot.PlotGraphics([lines, ], GraphTitle, "time/s", "fre/Hz")


class TestFrame1(wx.Frame):
    def __init__(self, parent=None, id=wx.ID_ANY, title="Using wxPyPlot"):
        wx.Frame.__init__(self, parent, id, title, size=(800, 600))

        # 创建菜单栏
        self.mainmenu = wx.MenuBar()

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

        menu.Append(200, 'Draw_wav', 'Draw wav')
        self.Bind(wx.EVT_MENU, self.OnPlotDraw_wav, id=200)

        # 添加菜单到菜单栏
        self.mainmenu.Append(menu, '&Plot')

        # 设置菜单Bar
        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
        self.pc.Draw(MyWavData())

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

    def OnPlotDraw_wav(self, event):
        self.pc.Draw(MyWavData())


def main():
    app = wx.App()

    MyWavData()

    tf = TestFrame1()
    tf.Show()

    app.MainLoop()


# 测试wxPyPlot的代码
if __name__ == '__main__':
    main()

费劲...奇葩的需求, 明明matplotlib就能画...非要用wxpython...诶, 实习生真的啥都得干...费劲...未完待续