def test_channel_as_dataframe_with_raw_data():
"""Convert channel to Pandas dataframe with absolute time index"""
test_file, _ = scenarios.scaled_data().values
expected_raw_data = np.array([1, 2, 3, 4], dtype=np.int32)
tdms_data = test_file.load()
df = tdms_data["group"]["channel1"].as_dataframe(scaled_data=False)
np.testing.assert_equal(df["/'group'/'channel1'"], expected_raw_data)
def test_indexing_scaled_channel_with_integer():
""" Test indexing into a channel with an integer index when the channel is scaled
"""
test_file, expected_data = scenarios.scaled_data().values
with test_file.get_tempfile() as temp_file:
with TdmsFile.open(temp_file.file) as tdms_file:
for ((group, channel), expected_channel_data) in expected_data.items():
channel_object = tdms_file[group][channel]
values = []
for i in range(len(channel_object)):
values.append(channel_object[i])
compare_arrays(values, expected_channel_data)