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@ -19,7 +19,7 @@ sys.path.insert(0, '../lidar/')
from nielsen import Gridder # noqa
MGA55 = 28355 # GDA94, MGA Zone 55
BEACH = 'Roches Beach'
BEACH = 'Roches'
# Load profile data
xlsx_path = '../lidar/Profiles 1 to 12 2019 DEM.xlsx'
@ -67,7 +67,7 @@ for f in file_list:
east, north = g.from_chainage(ch)
row['easting'] = east.round(3)
row['northing'] = north.round(3)
df = df.append(row, ignore_index=True)
df = pd.concat([df, pd.DataFrame([row])])
# Convert floats to int
for col in ['block', 'profile', 'year']:

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