What is the best way to modify data and reinsert it into an MDF group?

[Ash-j37]

I'm trying to develop code that would modify MDF4 files. The files I'm working with often have data logged from vehicles, and I'm trying to extract data logged in the MDF4 file into a pandas Dataframe, modify the data payloads, and re-insert the data back into the MDF. The issue I'm facing is in re-inserting the new data back into the MDF4 file. My code looks like this:

base_group_data = base_mdf.get_group(group_idx_to_get)
base_group = base_mdf.groups.pop(group_idx_to_get)
# modify the dataframe base_group_data
# NOTE: The input and output dataframes have the same columns and use the same datatypes
# re-insert the data back into the MDF handle
base_mdf.save("modified_mdf.MF4")

I have tried a couple of approaches:

1. Encoding each column of the dataframe into a list of signals and trying to append the list of signals to the MDF
   merged_signals = []
for column in base_group_data:
signal = Signal(samples=merged_df[column].values, timestamps=merged_df.index.values, name=column)
merged_signals.append(signal)
base_mdf.append(merged_signals, acq_name=channel, common_timebase=True)
2. Trying to insert the list of signals in the same index as the group that was popped from the mdf.
   base_mdf.groups.insert(group_idx_to_get, merged_signals)

I'm new to Python and MDF files in general so any help is appreciated! Thanks in advance!

[danielhrisca]

you should focus on creating a new MDF files with the processed data