def txt_read_out(self):
        """Read out txt file.

        Takes the output of :class:`gwsnrcalc.genconutils.genprocess.GenProcess`
        and reads it out to a txt file.

        """

        header = '#Generated SNR Out\n'
        header += '#Generator by: Michael Katz\n'
        header += '#Date/Time: {}\n'.format(datetime.datetime.now())

        for which in ['x', 'y']:
            header += '#' + which + 'val_name: {}\n'.format(getattr(self, which + 'val_name'))
            header += '#num_' + which + '_pts: {}\n'.format(getattr(self, 'num_' + which))

        ecc = 'eccentricity' in self.__dict__
        if ecc:
            name_list = ['observation_time', 'start_frequency', 'start_separation'
                         'eccentricity']
        else:
            name_list = ['spin_1', 'spin_2', 'spin', 'end_time']

        name_list += ['total_mass', 'mass_ratio', 'start_time', 'luminosity_distance',
                      'comoving_distance', 'redshift']

        for name in name_list:
            if name != self.xval_name and name != self.yval_name:
                try:
                    getattr(self, name)
                    header += '#{}: {}\n'.format(name, getattr(self, name))
                except AttributeError:
                    pass

        if self.added_note != '':
            header += '#Added note: ' + self.added_note + '\n'
        else:
            header += '#Added note: None\n'

        header += '#--------------------\n'

        header += self.x_col_name + '\t'

        header += self.y_col_name + '\t'

        for key in self.output_dict.keys():
            header += key + '\t'

        # read out x,y and the data
        x_and_y = np.asarray([self.xvals, self.yvals])
        snr_out = np.asarray([self.output_dict[key] for key in self.output_dict.keys()]).T

        data_out = np.concatenate([x_and_y.T, snr_out], axis=1)

        np.savetxt(self.WORKING_DIRECTORY + '/' + self.output_file_name,
                   data_out, delimiter='\t', header=header, comments='')
        return
def txt_read_out ( self ) : header = '#Generated SNR Out\n' header += '#Generator by: Michael Katz\n' header += '#Date/Time: {}\n' . format ( datetime . datetime . now ( ) ) for which in [ 'x' , 'y' ] : header += '#' + which + 'val_name: {}\n' . format ( getattr ( self , which + 'val_name' ) ) header += '#num_' + which + '_pts: {}\n' . format ( getattr ( self , 'num_' + which ) ) ecc = 'eccentricity' in self . __dict__ if ecc : name_list = [ 'observation_time' , 'start_frequency' , 'start_separation' 'eccentricity' ] else : name_list = [ 'spin_1' , 'spin_2' , 'spin' , 'end_time' ] name_list += [ 'total_mass' , 'mass_ratio' , 'start_time' , 'luminosity_distance' , 'comoving_distance' , 'redshift' ] for name in name_list : if name != self . xval_name and name != self . yval_name : try : getattr ( self , name ) header += '#{}: {}\n' . format ( name , getattr ( self , name ) ) except AttributeError : pass if self . added_note != '' : header += '#Added note: ' + self . added_note + '\n' else : header += '#Added note: None\n' header += '#--------------------\n' header += self . x_col_name + '\t' header += self . y_col_name + '\t' for key in self . output_dict . keys ( ) : header += key + '\t' x_and_y = np . asarray ( [ self . xvals , self . yvals ] ) snr_out = np . asarray ( [ self . output_dict [ key ] for key in self . output_dict . keys ( ) ] ) . T data_out = np . concatenate ( [ x_and_y . T , snr_out ] , axis = 1 ) np . savetxt ( self . WORKING_DIRECTORY + '/' + self . output_file_name , data_out , delimiter = '\t' , header = header , comments = '' ) return
Read out txt file.

        Takes the output of :class:`gwsnrcalc.genconutils.genprocess.GenProcess`
        and reads it out to a txt file.