Open mthaitjema opened 1 year ago
Hi,
I am trying to load and decode an MF4 file using the python API. In the MATLAB API, the index of the CAN channel is passed to the read method:
read
can_idx = 8; rawTimeTable = read(m,can_idx,m.ChannelNames{can_idx});
I could not find out how to do the same thing when using the python API. Currently my code looks like this:
db = can_decoder.load_dbc(pathToDBC) df_decoder = can_decoder.DataFrameDecoder(db) with open(pathToMF4, "rb") as handle: mdf_file = mdf_iter.MdfFile(handle) df_raw = mdf_file.get_data_frame() df = df_decoder.decode_frame(df_raw)
This does decode the data, but the dataframe is not ordered in groups like when using MATLAB. Is it possible to do this with the python API?
You might be able to do something like this with the asammdf Python API. However, our Python API instead converts the MF4 channel-structure to a pandas dataframe structure (similar to a CSV).
Hi,
I am trying to load and decode an MF4 file using the python API. In the MATLAB API, the index of the CAN channel is passed to the
read
method:I could not find out how to do the same thing when using the python API. Currently my code looks like this:
This does decode the data, but the dataframe is not ordered in groups like when using MATLAB. Is it possible to do this with the python API?