def cb_active_plot(self,start_ms,stop_ms,line_color='b'):
        """
        Plot timing information of time spent in the callback. This is similar
        to what a logic analyzer provides when probing an interrupt.

        cb_active_plot( start_ms,stop_ms,line_color='b')
        
        """
        # Find bounding k values that contain the [start_ms,stop_ms]
        k_min_idx = np.nonzero(np.ravel(np.array(self.DSP_tic)*1000 < start_ms))[0]
        if len(k_min_idx) < 1:
            k_min = 0
        else:
            k_min = k_min_idx[-1]
        k_max_idx = np.nonzero(np.ravel(np.array(self.DSP_tic)*1000 > stop_ms))[0]
        if len(k_min_idx) < 1:
            k_max= len(self.DSP_tic)
        else:
            k_max = k_max_idx[0]
        for k in range(k_min,k_max):
            if k == 0:
                plt.plot([0,self.DSP_tic[k]*1000,self.DSP_tic[k]*1000,
                         self.DSP_toc[k]*1000,self.DSP_toc[k]*1000],
                        [0,0,1,1,0],'b')
            else:
                plt.plot([self.DSP_toc[k-1]*1000,self.DSP_tic[k]*1000,self.DSP_tic[k]*1000,
                          self.DSP_toc[k]*1000,self.DSP_toc[k]*1000],[0,0,1,1,0],'b')
        plt.plot([self.DSP_toc[k_max-1]*1000,stop_ms],[0,0],'b')
        
        plt.xlim([start_ms,stop_ms])
        plt.title(r'Time Spent in the callback')
        plt.ylabel(r'Timing')
        plt.xlabel(r'Time (ms)')
        plt.grid();
def cb_active_plot(self,start_ms,stop_ms,line_color='b'):
        
        
        k_min_idx = np.nonzero(np.ravel(np.array(self.DSP_tic)*1000 < start_ms))[0]
        if len(k_min_idx) < 1:
            k_min = 0
        else:
            k_min = k_min_idx[-1]
        k_max_idx = np.nonzero(np.ravel(np.array(self.DSP_tic)*1000 > stop_ms))[0]
        if len(k_min_idx) < 1:
            k_max= len(self.DSP_tic)
        else:
            k_max = k_max_idx[0]
        for k in range(k_min,k_max):
            if k == 0:
                plt.plot([0,self.DSP_tic[k]*1000,self.DSP_tic[k]*1000,
                         self.DSP_toc[k]*1000,self.DSP_toc[k]*1000],
                        [0,0,1,1,0],'b')
            else:
                plt.plot([self.DSP_toc[k-1]*1000,self.DSP_tic[k]*1000,self.DSP_tic[k]*1000,
                          self.DSP_toc[k]*1000,self.DSP_toc[k]*1000],[0,0,1,1,0],'b')
        plt.plot([self.DSP_toc[k_max-1]*1000,stop_ms],[0,0],'b')
        
        plt.xlim([start_ms,stop_ms])
        plt.title(r'Time Spent in the callback')
        plt.ylabel(r'Timing')
        plt.xlabel(r'Time (ms)')
        plt.grid();
def cb_active_plot ( self , start_ms , stop_ms , line_color = 'b' ) : # Find bounding k values that contain the [start_ms,stop_ms]
 k_min_idx = np . nonzero ( np . ravel ( np . array ( self . DSP_tic ) * 1000 < start_ms ) ) [ 0 ] if len ( k_min_idx ) < 1 : k_min = 0 else : k_min = k_min_idx [ - 1 ] k_max_idx = np . nonzero ( np . ravel ( np . array ( self . DSP_tic ) * 1000 > stop_ms ) ) [ 0 ] if len ( k_min_idx ) < 1 : k_max = len ( self . DSP_tic ) else : k_max = k_max_idx [ 0 ] for k in range ( k_min , k_max ) : if k == 0 : plt . plot ( [ 0 , self . DSP_tic [ k ] * 1000 , self . DSP_tic [ k ] * 1000 , self . DSP_toc [ k ] * 1000 , self . DSP_toc [ k ] * 1000 ] , [ 0 , 0 , 1 , 1 , 0 ] , 'b' ) else : plt . plot ( [ self . DSP_toc [ k - 1 ] * 1000 , self . DSP_tic [ k ] * 1000 , self . DSP_tic [ k ] * 1000 , self . DSP_toc [ k ] * 1000 , self . DSP_toc [ k ] * 1000 ] , [ 0 , 0 , 1 , 1 , 0 ] , 'b' ) plt . plot ( [ self . DSP_toc [ k_max - 1 ] * 1000 , stop_ms ] , [ 0 , 0 ] , 'b' ) plt . xlim ( [ start_ms , stop_ms ] ) plt . title ( r'Time Spent in the callback' ) plt . ylabel ( r'Timing' ) plt . xlabel ( r'Time (ms)' ) plt . grid ( )
Plot timing information of time spent in the callback. This is similar
        to what a logic analyzer provides when probing an interrupt.

        cb_active_plot( start_ms,stop_ms,line_color='b')
Plot timing information of time spent in the callback . This is similar to what a logic analyzer provides when probing an interrupt . cb_active_plot ( start_ms stop_ms line_color = b )