asammdf 2.5.1

ASAM MDF measurement data file parser

asammdf is a fast parser/editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF (Measurement Data Format) files.

asammdf supports both MDF version 3 and 4 formats.

asammdf works on Python 2.7, and Python >= 3.4

Project goals

The main goals for this library are:

• to be faster than the other Python based mdf libraries

• to have clean and easy to understand code base

Features

• read sorted and unsorted MDF v3 and v4 files

• files are loaded in RAM for fast operations

• handle large files (exceeding the available RAM) using load_measured_data = False argument

• 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

  • Pandas data frames are good if all the channels have the same time based

  • usually a measuremetn will have channels from different sources at different rates

  • the Signal class facilitates operations with such channels

• remove data group by index or by specifing a channel name inside the target data group

• create new mdf files from scratch

• append new channels

• filter a subset of channels from original mdf file

• cut measurement to specified time interval

• convert to different mdf version

• export to Excel, HDF5 and CSV

• add and extract attachments

• mdf 4.10 zipped blocks

• mdf 4 structure channels

Major features not implemented (yet)

• for version 3

  • functionality related to sample reduction block (but the class is defined)

• for version 4

  • handling of bus logging measurements

  • handling of unfinnished measurements (mdf 4)

  • mdf 4 channel arrays

  • xml schema for TXBLOCK and MDBLOCK

Usage

Check the examples folder for extended usage demo.

Documentation

http://asammdf.readthedocs.io/en/latest

Installation

asammdf is available on

• github: https://github.com/danielhrisca/asammdf/

• PyPI: https://pypi.org/project/asammdf/

Dependencies

asammdf uses the following libraries

• numpy : the heart that makes all tick

• numexpr : for algebraic and rational channel conversions

• matplotlib : for Signal plotting

• wheel : for installation in virtual environments

optional dependencies needed for exports

• pandas : for DataFrame export

• h5py : for HDF5 export

• xlsxwriter : for Excel export

Benchmarks

Python 3 x86

Benchmark environment

• 3.6.1 (v3.6.1:69c0db5, Mar 21 2017, 17:54:52) [MSC v.1900 32 bit (Intel)]

• Windows-10-10.0.14393-SP0

• Intel64 Family 6 Model 94 Stepping 3, GenuineIntel

• 16GB installed RAM

Notations used in the results:

• nodata = asammdf MDF object created with load_measured_data=False (raw channel data not loaded into RAM)

Files used for benchmark:

• 183 groups

• 36424 channels

Open file	Time [ms]	RAM [MB]
asammdf 2.5.0 mdfv3	1009	289
asammdf 2.5.0 nodata mdfv3	663	118
mdfreader 0.2.5 mdfv3	3705	454
asammdf 2.5.0 mdfv4	2031	343
asammdf 2.5.0 nodata mdfv4	1690	161
mdfreader 0.2.5 mdfv4	42315	576

Save file	Time [ms]	RAM [MB]
asammdf 2.5.0 mdfv3	439	293
asammdf 2.5.0 nodata mdfv3	462	126
mdfreader 0.2.5 mdfv3	19759	1224
asammdf 2.5.0 mdfv4	691	354
asammdf 2.5.0 nodata mdfv4	712	174
mdfreader 0.2.5 mdfv4	17415	1686

Get all channels (36424 calls)	Time [ms]	RAM [MB]
asammdf 2.5.0 mdfv3	807	298
asammdf 2.5.0 nodata mdfv3	18500	132
mdfreader 0.2.5 mdfv3	36	454
asammdf 2.5.0 mdfv4	804	349
asammdf 2.5.0 nodata mdfv4	21315	171
mdfreader 0.2.5 mdfv4	49	577

Convert file	Time [ms]	RAM [MB]
asammdf 2.5.0 v3 to v4	5834	709
asammdf 2.5.0 v3 to v4 nodata	28427	494
asammdf 2.5.0 v4 to v3	5474	710
asammdf 2.5.0 v4 to v3 nodata	30423	638

Python 3 x64

Benchmark environment

• 3.6.2 (v3.6.2:5fd33b5, Jul 8 2017, 04:57:36) [MSC v.1900 64 bit (AMD64)]

• Windows-10-10.0.14393-SP0

• Intel64 Family 6 Model 94 Stepping 3, GenuineIntel

• 16GB installed RAM

Notations used in the results:

• nodata = asammdf MDF object created with load_measured_data=False (raw channel data not loaded into RAM)

Files used for benchmark:

• 183 groups

• 36424 channels

Open file	Time [ms]	RAM [MB]
asammdf 2.5.0 mdfv3	821	371
asammdf 2.5.0 nodata mdfv3	653	191
mdfreader 0.2.5 mdfv3	2909	537
asammdf 2.5.0 mdfv4	1694	455
asammdf 2.5.0 nodata mdfv4	1297	260
mdfreader 0.2.5 mdfv4	31074	748

Save file	Time [ms]	RAM [MB]
asammdf 2.5.0 mdfv3	393	373
asammdf 2.5.0 nodata mdfv3	383	198
mdfreader 0.2.5 mdfv3	21464	1997
asammdf 2.5.0 mdfv4	586	465
asammdf 2.5.0 nodata mdfv4	550	275
mdfreader 0.2.5 mdfv4	19036	2795

Get all channels (36424 calls)	Time [ms]	RAM [MB]
asammdf 2.5.0 mdfv3	613	381
asammdf 2.5.0 nodata mdfv3	9161	207
mdfreader 0.2.5 mdfv3	28	536
asammdf 2.5.0 mdfv4	606	464
asammdf 2.5.0 nodata mdfv4	12403	275
mdfreader 0.2.5 mdfv4	40	748

Convert file	Time [ms]	RAM [MB]
asammdf 2.5.0 v3 to v4	4773	885
asammdf 2.5.0 v3 to v4 nodata	21903	605
asammdf 2.5.0 v4 to v3	4823	882
asammdf 2.5.0 v4 to v3 nodata	26090	740