StorageFifoAcquisition.py

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import wx
from proc import *
from plotter import *
from libCatKernel import *
from matplotlib.path import Path
import matplotlib.patches as patches

class StorageFifoAcquisition(proc):
    def __init__(self, cat, obj, panel, path):
        proc.__init__(self,cat,obj,panel,path)
        self.loadxrc()

        self.s1=self.getControl("s1")
        self.s2=self.getControl("s2")
        self.s3=self.getControl("s3")
        self.s4=self.getControl("s4")
        self.update()

        self.panel.Bind(wx.EVT_BUTTON, self.onApply, id=xrc.XRCID("Apply"))

    def onApply(self, event):
        v1 = float(self.s1.GetValue())
        v2 = float(self.s2.GetValue())
        v3 = float(self.s3.GetValue())
        v4 = float(self.s4.GetValue())
        self.obj.setSigma(v1,v2,v3,v4)

    def update(self):
        v1=self.obj.sigma(0)
        v2=self.obj.sigma(1)
        v3=self.obj.sigma(2)
        v4=self.obj.sigma(3)

        self.s1.SetValue(str(v1))
        self.s2.SetValue(str(v2))
        self.s3.SetValue(str(v3))
        self.s4.SetValue(str(v4))        

#----------------------------------------------------------------------

def Edit (cat, obj, panel, path):
    return StorageFifoAcquisition(cat, obj, panel, path)

#----------------------------------------------------------------------

def Plot(cat, obj, parent, id):
    from mpl_toolkits.mplot3d import Axes3D
    import matplotlib.ticker as ticker
    from matplotlib import cm
    import matplotlib as mpl
    import matplotlib.pyplot as plt
    import numpy as np

    plot=plotter(parent,id)
    fig=plot.current()

    title = 'Acquisition Channel(s) '

    channels=obj.channels()
    nch=0
    for i in range(0,8): 
        if (channels>>i&1): 
            nch+=1
            title+=' '+str(i)

    fig.suptitle(title, fontsize=14, fontweight='bold')

    depth= obj.depth() 

    index=0
    for c in range(0,nch):
        for d in range(0,depth):
            pl=fig.add_subplot(depth+2,nch,c+d*nch+1)   
            h=h1d(pl,obj.hist1d(index), facecolor='red',linestyle='dashed')
            pl.xaxis.set_ticks([obj.hist1d(index).minX(),(obj.hist1d(index).maxX()-obj.hist1d(index).minX())/2.,obj.hist1d(index).maxX()])
#           formatter = ticker.FormatStrFormatter('%1.2f')
#           pl.xaxis.set_major_formatter(formatter)
            index+=1
            pl.grid(True)
        pl=fig.add_subplot(depth+2,nch,c+depth*nch+1)   
        h=h1d(pl,obj.hist1d(index), facecolor='blue',linestyle='dashed')
        index+=1
        pl.grid(False)
        pl=fig.add_subplot(depth+2,nch,c+(depth+1)*nch+1)   
        h=h1d(pl,obj.hist1d(index), facecolor='green',linestyle='dashed')
        index+=1
        pl.grid(False)

    return plot