ASAM MDF measurement data file parser
asammdf is a fast parser and editor for ASAM (Association for Standardization of Automation and Measuring Systems) MDF (Measurement Data Format) files.
asammdf supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4).
asammdf works on Python >= 3.8
Continuous Integration | Coveralls | Codacy | ReadTheDocs |
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PyPI | conda-forge |
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The main goals for this library are:
create new mdf files from scratch
append new channels
read unsorted MDF v3 and v4 files
read CAN and LIN bus logging files
extract CAN and LIN signals from anonymous bus logging measurements
filter a subset of channels from original mdf file
cut measurement to specified time interval
convert to different mdf version
export to HDF5, Matlab (v7.3), CSV and parquet
merge multiple files sharing the same internal structure
read and save mdf version 4.10 files containing zipped data blocks
space optimizations for saved files (no duplicated blocks)
split large data blocks (configurable size) for mdf version 4
full support (read, append, save) for the following map types (multidimensional array channels):
mdf version 3 channels with CDBLOCK
mdf version 4 structure channel composition
mdf version 4 channel arrays with CNTemplate storage and one of the array types:
add and extract attachments for mdf version 4
handle large files (for example merging two fileas, each with 14000 channels and 5GB size, on a RaspberryPi)
extract channel data, master channel and extra channel information as Signal objects for unified operations with v3 and v4 files
time domain operation using the Signal class
graphical interface to visualize channels and perform operations with the files
for version 3
for version 4
from asammdf import MDF
mdf = MDF('sample.mdf')
speed = mdf.get('WheelSpeed')
speed.plot()
important_signals = ['WheelSpeed', 'VehicleSpeed', 'VehicleAcceleration']
# get short measurement with a subset of channels from 10s to 12s
short = mdf.filter(important_signals).cut(start=10, stop=12)
# convert to version 4.10 and save to disk
short.convert('4.10').save('important signals.mf4')
# plot some channels from a huge file
efficient = MDF('huge.mf4')
for signal in efficient.select(['Sensor1', 'Voltage3']):
signal.plot()
Check the examples folder for extended usage demo, or the documentation http://asammdf.readthedocs.io/en/master/examples.html
https://canlogger.csselectronics.com/canedge-getting-started/log-file-tools/asammdf-api/
http://asammdf.readthedocs.io/en/master
And a nicely written tutorial on the CSS Electronics site
Please have a look over the contributing guidelines
If you enjoy this library please consider making a donation to the numpy project or to danielhrisca using liberapay
Thanks to all who contributed with commits to asammdf:
asammdf is available on
pip install asammdf
# for the GUI
pip install asammdf[gui]
# or for anaconda
conda install -c conda-forge asammdf
In case a wheel is not present for you OS/Python versions and you lack the proper compiler setup to compile the c-extension code, then you can simply copy-paste the package code to your site-packages. In this way the python fallback code will be used instead of the compiled c-extension code.
asammdf uses the following libraries
optional dependencies needed for exports
other optional dependencies
http://asammdf.readthedocs.io/en/master/benchmarks.html