Commit 304a94ba authored by Sigurd M. Albrektsen's avatar Sigurd M. Albrektsen
Browse files

Added support for rtklib2avg min_sat

parent 5f55af0d

converters/rtklib2avg.py

+22 −7
Changes for converters/rtklib2avg.py: 22 added lines, 7 removed lines.
Original line number Diff line number Diff line
@@ -33,13 +33,18 @@ if __name__ == '__main__': 
        print('')

        print_usage()



    if len(sys.argv) == 3:

    if len(sys.argv) >= 3:

        min_quality = int(sys.argv[2])

    else:

        min_quality = 1



    if len(sys.argv) >= 4:

        min_sat = int(sys.argv[3])

    else:

        min_sat = 6



    infile = sys.argv[1]

    print('Extracting average from %s with Q <= %d' % (infile, min_quality))

    print('Extracting average from %s with Q <= %d, n_sat >= %d' % (infile, min_quality, min_sat))



    names = ['week', 'tow', 'ecef_x', 'ecef_y', 'ecef_z', 'Q', 'ns', 'sdx', 'sdy',

     'sdz', 'sdxy', 'sdyz', 'sdzx', 'age', 'ratio']
@@ -55,21 +60,23 @@ if __name__ == '__main__': 
            n_lines += 1

        f.seek(0)



        arr = np.zeros((4, n_lines))

        arr = np.zeros((5, n_lines))

        arr_ix=0

        for line in f:

            if line.startswith('%'):

                continue

            data_line = parseline(line, names)

            for key, val in data_line.items():

                if key in ['x_ecef', 'lat']:

                if key in ['x_ecef', 'lat', 'latitude']:

                    arr[0, arr_ix] = val

                elif key in ['y_ecef', 'lon']:

                elif key in ['y_ecef', 'lon', 'longitude']:

                    arr[1, arr_ix] = val

                elif key in ['z_ecef', 'alt']:

                elif key in ['z_ecef', 'alt', 'height']:

                    arr[2, arr_ix] = val

                elif key == 'q':

                    arr[3, arr_ix] = val

                elif key == 'ns':

                    arr[4, arr_ix] = val

            arr_ix += 1



    print('')
@@ -77,8 +84,16 @@ if __name__ == '__main__': 


    legal_arr = arr[:, arr[3,:] > 0]

    valid_arr = legal_arr[:, legal_arr[3,:] <= min_quality]

    valid_arr = valid_arr[:, valid_arr[4,:] >= min_sat]



    print('Found %d quality points.' % valid_arr.shape[1])



    for ix, key in enumerate(names):

        if key in ['x_ecef', 'lat', 'latitude']:

            name_start_ix = ix

            break

    print('')

    print('Mean: %s' % np.mean(valid_arr, axis=1)[:3])
 
    print('Mean:')

    print('\t'.join(names[name_start_ix:name_start_ix+3]))

    llh = np.mean(valid_arr, axis=1)[:3]

    print('%.12f\t%.12f\t%.12f' % (llh[0], llh[1], llh[2]))