asammdf 2.6.2

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

• create new mdf files from scratch

• append new channels

• read unsorted MDF v3 and v4 files

• filter a subset of channels from original mdf file

• cut measurement to specified time interval

• convert to different mdf version

• export to Excel, HDF5, Matlab and CSV

• merge multiple files sharing the same internal structure

• read and save mdf version 4.10 files containing zipped data blocks

• 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:

    • 0 - array

    • 1 - scaling axis

    • 2 - look-up

• add and extract attachments for mdf version 4

• 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 measurement will have channels from different sources at different rates

  • the Signal class facilitates operations with such 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)

  • full support mdf 4 channel arrays

  • xml schema for TXBLOCK and MDBLOCK

  • partial conversions

  • event blocks

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

• scipy : for Matlab .mat 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)

• compression = mdfreader mdf object created with compression=blosc

• compression bcolz 6 = mdfreader mdf object created with compression=6

• noDataLoading = mdfreader mdf object read with noDataLoading=True

Files used for benchmark:

• 183 groups

• 36424 channels

Open file	Time [ms]	RAM [MB]
asammdf 2.6.0 mdfv3	888	287
asammdf 2.6.0 nodata mdfv3	609	118
mdfreader 0.2.6 mdfv3	3457	458
mdfreader 0.2.6 compression mdfv3	4665	184
mdfreader 0.2.6 compression bcolz 6 mdfv3	4619	940
mdfreader 0.2.6 noDataLoading mdfv3	1890	120
asammdf 2.6.0 mdfv4	1971	330
asammdf 2.6.0 nodata mdfv4	1630	150
mdfreader 0.2.6 mdfv4	6414	870
mdfreader 0.2.6 compression mdfv4	7495	587
mdfreader 0.2.6 compression bcolz 6 mdfv4	7473	1294
mdfreader 0.2.6 noDataLoading mdfv4	4418	523

Save file	Time [ms]	RAM [MB]
asammdf 2.6.0 mdfv3	450	290
asammdf 2.6.0 nodata mdfv3	457	125
mdfreader 0.2.6 mdfv3	9455	481
mdfreader 0.2.6 noDataLoading mdfv3	1314	289
mdfreader 0.2.6 compression mdfv3	9263	451
mdfreader 0.2.6 compression bcolz 6 mdfv3	9305	941
asammdf 2.6.0 mdfv4	617	334
asammdf 2.6.0 nodata mdfv4	601	159
mdfreader 0.2.6 mdfv4	7063	890
mdfreader 0.2.6 noDataLoading mdfv4	1452	694
mdfreader 0.2.6 compression mdfv4	7227	851
mdfreader 0.2.6 compression bcolz 6 mdfv4	6954	1312

Get all channels (36424 calls)	Time [ms]	RAM [MB]
asammdf 2.6.0 mdfv3	754	294
asammdf 2.6.0 nodata mdfv3	18843	130
mdfreader 0.2.6 mdfv3	80	458
mdfreader 0.2.6 noDataLoading mdfv3	18000000	118
mdfreader 0.2.6 compression mdfv3	690	188
mdfreader 0.2.6 compression bcolz 6 mdfv3	317	943
asammdf 2.6.0 mdfv4	784	335
asammdf 2.6.0 nodata mdfv4	20635	160
mdfreader 0.2.6 mdfv4	79	870
mdfreader 0.2.6 noDataLoading mdfv4	18000000	523
mdfreader 0.2.6 compression mdfv4	704	594
mdfreader 0.2.6 compression bcolz 6 mdfv4	333	1302

Convert file	Time [ms]	RAM [MB]
asammdf 2.6.0 v3 to v4	5720	679
asammdf 2.6.0 v3 to v4 nodata	28738	479
asammdf 2.6.0 v4 to v3	5731	682
asammdf 2.6.0 v4 to v3 nodata	30795	627

Merge files	Time [ms]	RAM [MB]
asammdf 2.6.0 v3	12988	1206
asammdf 2.6.0 v3 nodata	53020	322
asammdf 2.6.0 v4	15434	1244
asammdf 2.6.0 v4 nodata	60260	344

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)

• compression = mdfreader mdf object created with compression=blosc

• compression bcolz 6 = mdfreader mdf object created with compression=6

• noDataLoading = mdfreader mdf object read with noDataLoading=True

Files used for benchmark:

• 183 groups

• 36424 channels

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)

• compression = mdfreader mdf object created with compression=blosc

• compression bcolz 6 = mdfreader mdf object created with compression=6

• noDataLoading = mdfreader mdf object read with noDataLoading=True

Files used for benchmark:

• 183 groups

• 36424 channels

Open file	Time [ms]	RAM [MB]
asammdf 2.6.0 mdfv3	780	364
asammdf 2.6.0 nodata mdfv3	562	187
mdfreader 0.2.6 mdfv3	2825	545
mdfreader 0.2.6 compression mdfv3	4198	268
mdfreader 0.2.6 compression bcolz 6 mdfv3	4041	1040
mdfreader 0.2.6 noDataLoading mdfv3	1466	198
asammdf 2.6.0 mdfv4	1717	435
asammdf 2.6.0 nodata mdfv4	1351	244
mdfreader 0.2.6 mdfv4	5589	1308
mdfreader 0.2.6 compression mdfv4	6794	1023
mdfreader 0.2.6 compression bcolz 6 mdfv4	6853	1747
mdfreader 0.2.6 noDataLoading mdfv4	4035	943

Save file	Time [ms]	RAM [MB]
asammdf 2.6.0 mdfv3	392	365
asammdf 2.6.0 nodata mdfv3	421	195
mdfreader 0.2.6 mdfv3	8355	577
mdfreader 0.2.6 noDataLoading mdfv3	1159	370
mdfreader 0.2.6 compression mdfv3	8510	543
mdfreader 0.2.6 compression bcolz 6 mdfv3	8150	1041
asammdf 2.6.0 mdfv4	438	441
asammdf 2.6.0 nodata mdfv4	479	255
mdfreader 0.2.6 mdfv4	6491	1329
mdfreader 0.2.6 noDataLoading mdfv4	1142	1117
mdfreader 0.2.6 compression mdfv4	6637	1288
mdfreader 0.2.6 compression bcolz 6 mdfv4	6349	1764

Get all channels (36424 calls)	Time [ms]	RAM [MB]
asammdf 2.6.0 mdfv3	601	373
asammdf 2.6.0 nodata mdfv3	9213	203
mdfreader 0.2.6 mdfv3	71	545
mdfreader 0.2.6 noDataLoading mdfv3	18000000	198
mdfreader 0.2.6 compression mdfv3	663	272
mdfreader 0.2.6 compression bcolz 6 mdfv3	275	1041
asammdf 2.6.0 mdfv4	650	443
asammdf 2.6.0 nodata mdfv4	13256	257
mdfreader 0.2.6 mdfv4	63	1307
mdfreader 0.2.6 noDataLoading mdfv4	18000000	943
mdfreader 0.2.6 compression mdfv4	657	1031
mdfreader 0.2.6 compression bcolz 6 mdfv4	292	1754

Convert file	Time [ms]	RAM [MB]
asammdf 2.6.0 v3 to v4	4658	832
asammdf 2.6.0 v3 to v4 nodata	22138	578
asammdf 2.6.0 v4 to v3	5026	838
asammdf 2.6.0 v4 to v3 nodata	26169	723

Merge files	Time [ms]	RAM [MB]
asammdf 2.6.0 v3	10739	1390
asammdf 2.6.0 v3 nodata	31730	478
asammdf 2.6.0 v4	13171	1482
asammdf 2.6.0 v4 nodata	43173	545