removed static struct arr

import numpy as np

import pandas as pd

GPF_DATA_DTYPE = np.dtype([('point_id', np.int), ('stat', np.int), ('known', np.int),

                  ('lat_Y_North', np.float), ('long_X_East', np.float), ('ht', np.float),

                  ('sigma0', np.float), ('sigma1', np.float), ('sigma2', np.float),

                  ('res0', np.float), ('res1', np.float), ('res2', np.float)])

def read_gpf(input_data):

    """

    Read a socet gpf file into a pandas data frame

                col = l

                break

    # Mixed types requires read as unicode - let pandas soft convert

    d = np.genfromtxt(input_data, skip_header=3, dtype='unicode')

    d = d.reshape(-1, 12)

                              'lat_y_North', 'long_X_East','ht',

                              'sigma0', 'sigma1', 'sigma2',

                              'res0', 'res1', 'res2'])

    # Soft conversion of numeric types to numerics

    # Soft conversion of numeric types to numerics, allows str in first col for point_id

    df = df.apply(pd.to_numeric, errors='ignore')

    # Validate the read data with the header point count