with self.assertRaises(ValueError):
frame = case.pandas_frame(column_keys=[])
with self.assertRaises(ValueError):
frame = case.pandas_frame(column_keys=["NO_KEY"])
frame = case.pandas_frame()
rows, columns = frame.shape
self.assertEqual(len(case.keys()), columns)
self.assertEqual(len(case), rows)
def test_csv_load(self):
case = create_case2()
frame = case.pandas_frame()
ecl_sum = EclSum.from_pandas("PANDAS", frame, dims=[20, 10, 5])
for key in frame.columns:
self.assertTrue(key in ecl_sum)
df = ecl_sum.pandas_frame()
assert_frame_equal(frame, df)
ecl_sum_less = EclSum.from_pandas(
"PANDAS",
frame,
dims=[20, 10, 5],
headers=["BPR:10", "RPR:3,1,1", "COPR:OPX:1,2,3"],
)
del frame["WOPT:OPX"]
del frame["FOPR"]
with self.assertRaises(ValueError):
frame = case.pandas_frame(column_keys=[])
with self.assertRaises(ValueError):
frame = case.pandas_frame(column_keys=["NO_KEY"])
frame = case.pandas_frame( )
rows, columns = frame.shape
self.assertEqual(len(case.keys()), columns)
self.assertEqual(len(case), rows)
def test_csv_load(self):
case = create_case2()
frame = case.pandas_frame()
ecl_sum = EclSum.from_pandas("PANDAS", frame, dims=[20,10,5])
for key in frame.columns:
self.assertTrue(key in ecl_sum)
df = ecl_sum.pandas_frame()
assert_frame_equal(frame, df)
ecl_sum_less = EclSum.from_pandas("PANDAS", frame, dims=[20,10,5], headers=['BPR:10', 'RPR:3,1,1', 'COPR:OPX:1,2,3'])
del frame['WOPT:OPX']
del frame['FOPR']
df_less = ecl_sum_less.pandas_frame()
assert_frame_equal(frame, df_less)
def test_total_and_rate(self):
