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after allowing characters in the data section, df() function was retu… #249

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merged 1 commit into from Sep 14, 2018
Merged

after allowing characters in the data section, df() function was retu… #249

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7 changes: 7 additions & 0 deletions lasio/las.py
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Expand Up @@ -557,7 +557,14 @@ def header(self):
def df(self):
'''Return data as a :class:`pandas.DataFrame` structure.'''
import pandas as pd
from pandas.api.types import is_object_dtype
df = pd.DataFrame(self.data, columns=[c.mnemonic for c in self.curves])
for column in df.columns:
if is_object_dtype(df[column].dtype):
try:
df[column] = df[column].astype(np.float64)
except ValueError:
pass
if len(self.curves) > 0:
df = df.set_index(self.curves[0].mnemonic)
return df
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9 changes: 9 additions & 0 deletions tests/test_read.py
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Expand Up @@ -208,3 +208,12 @@ def test_data_characters():
las = lasio.read(egfn('data_characters.las'))
assert las['TIME'][0] == '00:00:00'
assert las['DATE'][0] == '01-Jan-20'

def test_data_characters_types():
from pandas.api.types import is_object_dtype
from pandas.api.types import is_float_dtype
las = lasio.read(egfn('data_characters.las'))
assert is_object_dtype(las.df().index.dtype)
assert is_object_dtype(las.df()['DATE'].dtype)
assert is_float_dtype(las.df()['DEPT'].dtype)
assert is_float_dtype(las.df()['ARC_GR_UNC_RT'].dtype)