FRBSignalGeneration.py
def PlotTimeSeries(self,offSet=0):
        """
        Plots the absolute values of the time series
        offSet is a scalar offSet of each channel plot. 
        Increasing channels get shifted higher and higher 
        """
        plt.figure()
        timePoints = np.arange(0,self.timeSeries.shape[0])*self.sampTime
        #timePoints = (np.meshgrid(np.arange(0,self.shape[1]),
        #                          np.arange(0,self.shape[0]))[0])*self.sampTime

        offSets = np.outer(offSet*np.ones((self.shape[0],1)),np.arange(self.shape[1]))

        plt.plot(timePoints,np.abs(self.timeSeries)+offSets)
        plt.xlabel('Time (sec)')
        plt.ylabel('Power')
        plt.show()

        Plots the absolute values of the time series
        offSet is a scalar offSet of each channel plot. 
        Increasing channels get shifted higher and higher 
        
Plots the absolute values of the time series
offSet is a scalar offSet of each channel plot.
Increasing channels get shifted higher and higher
Plots the absolute values of the time series offSet is a scalar offSet of each channel plot . Increasing channels get shifted higher and higher
def PlotTimeSeries(self,offSet=0):
        plt.figure()
        timePoints = np.arange(0,self.timeSeries.shape[0])*self.sampTime
        offSets = np.outer(offSet*np.ones((self.shape[0],1)),np.arange(self.shape[1]))
        plt.plot(timePoints,np.abs(self.timeSeries)+offSets)
        plt.xlabel('Time (sec)')
        plt.ylabel('Power')
        plt.show()
def PlotTimeSeries ( self , offSet = 0 ) : plt . figure ( ) timePoints = np . arange ( 0 , self . timeSeries . shape [ 0 ] ) * self . sampTime offSets = np . outer ( offSet * np . ones ( ( self . shape [ 0 ] , 1 ) ) , np . arange ( self . shape [ 1 ] ) ) plt . plot ( timePoints , np . abs ( self . timeSeries ) + offSets ) plt . xlabel ( 'Time (sec)' ) plt . ylabel ( 'Power' ) plt . show ( )
Plots the absolute values of the time series
offSet is a scalar offSet of each channel plot.
Plots the absolute values of the time series offSet is a scalar offSet of each channel plot .
"""
        Plots the absolute values of the time series
        offSet is a scalar offSet of each channel plot. 
        Increasing channels get shifted higher and higher 
        """ #timePoints = (np.meshgrid(np.arange(0,self.shape[1]), #                          np.arange(0,self.shape[0]))[0])*self.sampTime
self
offSet