blimpy/filterbank.py
def plot_kurtosis(self, f_start=None, f_stop=None, if_id=0, **kwargs):
        """ Plot kurtosis

         Args:
            f_start (float): start frequency, in MHz
            f_stop (float): stop frequency, in MHz
            kwargs: keyword args to be passed to matplotlib imshow()
        """
        ax = plt.gca()

        plot_f, plot_data = self.grab_data(f_start, f_stop, if_id)

        #Using accending frequency for all plots.
        if self.header[b'foff'] < 0:
            plot_data = plot_data[..., ::-1] # Reverse data
            plot_f = plot_f[::-1]

        try:
            plot_kurtosis = scipy.stats.kurtosis(plot_data, axis=0, nan_policy='omit')
        except:
            plot_kurtosis = plot_data*0.0

        plt.plot(plot_f, plot_kurtosis, **kwargs)
        plt.ylabel("Kurtosis")
        plt.xlabel("Frequency [MHz]")

        plt.xlim(plot_f[0], plot_f[-1])
def plot_kurtosis(self, f_start=None, f_stop=None, if_id=0, **kwargs):
        """ Plot kurtosis

         Args:
            f_start (float): start frequency, in MHz
            f_stop (float): stop frequency, in MHz
            kwargs: keyword args to be passed to matplotlib imshow()
        """
        ax = plt.gca()

        plot_f, plot_data = self.grab_data(f_start, f_stop, if_id)

        #Using accending frequency for all plots.
        if self.header[b'foff'] < 0:
            plot_data = plot_data[..., ::-1] # Reverse data
            plot_f = plot_f[::-1]

        try:
            plot_kurtosis = scipy.stats.kurtosis(plot_data, axis=0, nan_policy='omit')
        except:
            plot_kurtosis = plot_data*0.0

        plt.plot(plot_f, plot_kurtosis, **kwargs)
        plt.ylabel("Kurtosis")
        plt.xlabel("Frequency [MHz]")

        plt.xlim(plot_f[0], plot_f[-1])
def plot_kurtosis ( self , f_start = None , f_stop = None , if_id = 0 , * * kwargs ) : ax = plt . gca ( ) plot_f , plot_data = self . grab_data ( f_start , f_stop , if_id ) #Using accending frequency for all plots. if self . header [ b'foff' ] < 0 : plot_data = plot_data [ ... , : : - 1 ] # Reverse data plot_f = plot_f [ : : - 1 ] try : plot_kurtosis = scipy . stats . kurtosis ( plot_data , axis = 0 , nan_policy = 'omit' ) except : plot_kurtosis = plot_data * 0.0 plt . plot ( plot_f , plot_kurtosis , * * kwargs ) plt . ylabel ( "Kurtosis" ) plt . xlabel ( "Frequency [MHz]" ) plt . xlim ( plot_f [ 0 ] , plot_f [ - 1 ] )
Plot kurtosis

         Args:
            f_start (float): start frequency, in MHz
            f_stop (float): stop frequency, in MHz
            kwargs: keyword args to be passed to matplotlib imshow()
Plot kurtosis