('python=3.10.11 | packaged by Anaconda, Inc. | (main, Apr 20 2023, 18:56:50) '
'[MSC v.1916 64 bit (AMD64)]')
'os=Windows-10-10.0.19045-SP0'
'numpy=1.23.5'
ldf is not supported
'asammdf=7.3.2'
Code
MDF version
'4.10'
Code snippet
from asammdf import MDF
mdf = MDF("mock_logger.mf4")
mdf.to_dataframe(channels=["channel_a","channel_b"],raster=0.05)
Description
The created dataframe shows wrong values in the channels when using a raster. This seems to be caused by interpolation. However The raster of 0.05 exactly matches the frequency of the channels in the mf4. So i would expect the values to be equal to the raw values you can find when inspecting the mf4 file with MDA or loading it without specifying a raster.
channel_a for example turns out as
[2,2,0,4,0,2,2,8,2,0,0,0,4,4,2,0,0,0,0,4]
but should be
[2,2,0,4,0,2,4,8,2,0,0,2,4,2,2,0,0,0,4,4]
You can see there seems to be interpolation using the previous value where the results differ.
Python version
('python=3.10.11 | packaged by Anaconda, Inc. | (main, Apr 20 2023, 18:56:50) ' '[MSC v.1916 64 bit (AMD64)]') 'os=Windows-10-10.0.19045-SP0' 'numpy=1.23.5' ldf is not supported 'asammdf=7.3.2'
Code
MDF version
'4.10'
Code snippet
Description
The created dataframe shows wrong values in the channels when using a raster. This seems to be caused by interpolation. However The raster of 0.05 exactly matches the frequency of the channels in the mf4. So i would expect the values to be equal to the raw values you can find when inspecting the mf4 file with MDA or loading it without specifying a raster. channel_a for example turns out as [2,2,0,4,0,2,2,8,2,0,0,0,4,4,2,0,0,0,0,4] but should be [2,2,0,4,0,2,4,8,2,0,0,2,4,2,2,0,0,0,4,4]
You can see there seems to be interpolation using the previous value where the results differ.
mock_logger.zip