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Commit ed5e2ce5 authored by jlaura's avatar jlaura Committed by GitHub
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Adds Socet GPF reads into plio (#18)

* Adds prototype socet gpf read from @thareUSGS

* Adds test to gpf reader

* Adds length assertion and logic for dynamic cols

* removed static struct arr
parent 597e0fba
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import math
import numpy as np
import pandas as pd
def read_gpf(input_data):
"""
Read a socet gpf file into a pandas data frame
Parameters
----------
input_file : str
path to the input data file
Returns
-------
df : pd.DataFrame
containing the gfp data with appropriate column names and indices
"""
# Check that the number of rows is matching the expected number
with open(input_data, 'r') as f:
for i, l in enumerate(f):
if i == 1:
cnt = int(l)
elif i == 2:
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)
#TODO: cols should be used to dynamically generate the column names
df = pd.DataFrame(d, columns=['point_id', 'stat', 'known',
'lat_y_North', 'long_X_East','ht',
'sigma0', 'sigma1', 'sigma2',
'res0', 'res1', 'res2'])
# 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
assert int(cnt) == len(df)
return df
import numpy as np
import pandas as pd
from pandas.util.testing import assert_frame_equal
from plio.io.io_gpf import read_gpf
from plio.examples import get_path
import pytest
@pytest.fixture
def insight_gpf():
return get_path('InSightE08_XW.gpf')
@pytest.fixture()
def insight_expected():
return pd.read_csv(get_path('InSightE08_XW.csv'))
@pytest.mark.parametrize('gpf, expected', [(insight_gpf(),insight_expected())])
def test_read_gfp(gpf, expected):
df = read_gpf(gpf)
assert_frame_equal(df, expected)
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