![](\"https://raw.githubusercontent.com/danielhrisca/asammdf/master/asammdf.png\")
\n\n\n\n*asammdf* is a fast parser and editor for ASAM (Association for Standardization of Automation and Measuring Systems) MDF (Measurement Data Format) files.\n\n*asammdf* supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4).\n\n*asammdf* works on Python >= 3.7 (for Python 2.7, 3.4 and 3.5 see the 4.x.y releases)\n\n
\n\n\n\n# Status\n\n| Continuous Integration | Coveralls | Codacy | ReadTheDocs |\n| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------- |\n| [](https://github.com/danielhrisca/asammdf/actions/workflows/main.yml) | [](https://coveralls.io/github/danielhrisca/asammdf?branch=master) | [](https://www.codacy.com/app/danielhrisca/asammdf?utm_source=github.com&utm_medium=referral&utm_content=danielhrisca/asammdf&utm_campaign=badger) | [](http://asammdf.readthedocs.io/en/master/?badge=stable) |\n\n| PyPI | conda-forge |\n| ----------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |\n| [](https://badge.fury.io/py/asammdf) | [](https://anaconda.org/conda-forge/asammdf) |\n\n# Project goals\nThe main goals for this library are:\n\n* to be faster than the other Python based mdf libraries\n* to have clean and easy to understand code base\n* to have minimal 3-rd party dependencies\n\n# Features\n\n* create new mdf files from scratch\n* append new channels\n* read unsorted MDF v3 and v4 files\n* read CAN and LIN bus logging files\n* extract CAN and LIN signals from anonymous bus logging measurements\n* filter a subset of channels from original mdf file\n* cut measurement to specified time interval\n* convert to different mdf version\n* export to HDF5, Matlab (v4, v5 and v7.3), CSV and parquet\n* merge multiple files sharing the same internal structure\n* read and save mdf version 4.10 files containing zipped data blocks\n* space optimizations for saved files (no duplicated blocks)\n* split large data blocks (configurable size) for mdf version 4\n* full support (read, append, save) for the following map types (multidimensional array channels):\n\n * mdf version 3 channels with CDBLOCK\n * mdf version 4 structure channel composition\n * mdf version 4 channel arrays with CNTemplate storage and one of the array types:\n\n * 0 - array\n * 1 - scaling axis\n * 2 - look-up\n\n* add and extract attachments for mdf version 4\n* handle large files (for example merging two fileas, each with 14000 channels and 5GB size, on a RaspberryPi)\n* extract channel data, master channel and extra channel information as *Signal* objects for unified operations with v3 and v4 files\n* time domain operation using the *Signal* class\n\n * Pandas data frames are good if all the channels have the same time based\n * a measurement will usually have channels from different sources at different rates\n * the *Signal* class facilitates operations with such channels\n\n * graphical interface to visualize channels and perform operations with the files\n\n# Major features not implemented (yet)\n\n* for version 3\n\n * functionality related to sample reduction block: the samples reduction blocks are simply ignored\n\n* for version 4\n\n * experimental support for MDF v4.20 column oriented storage\n * functionality related to sample reduction block: the samples reduction blocks are simply ignored\n * handling of channel hierarchy: channel hierarchy is ignored\n * full handling of bus logging measurements: currently only CAN and LIN bus logging are implemented with the\n ability to *get* signals defined in the attached CAN/LIN database (.arxml or .dbc). Signals can also\n be extracted from an anonymous bus logging measurement by providing a CAN or LIN database (.dbc or .arxml)\n * handling of unfinished measurements (mdf 4): finalization is attempted when the file is loaded, however the\n not all the finalization steps are supported\n * full support for remaining mdf 4 channel arrays types\n * xml schema for MDBLOCK: most metadata stored in the comment blocks will not be available\n * full handling of event blocks: events are transferred to the new files (in case of calling methods\n that return new *MDF* objects) but no new events can be created\n * channels with default X axis: the default X axis is ignored and the channel group's master channel\n is used\n * attachment encryption/decryption using user provided encryption/decryption functions; this is not \n part of the MDF v4 spec and is only supported by this library\n\n# Usage\n\n```python\nfrom asammdf import MDF\n\nmdf = MDF('sample.mdf')\nspeed = mdf.get('WheelSpeed')\nspeed.plot()\n\nimportant_signals = ['WheelSpeed', 'VehicleSpeed', 'VehicleAcceleration']\n# get short measurement with a subset of channels from 10s to 12s\nshort = mdf.filter(important_signals).cut(start=10, stop=12)\n\n# convert to version 4.10 and save to disk\nshort.convert('4.10').save('important signals.mf4')\n\n# plot some channels from a huge file\nefficient = MDF('huge.mf4')\nfor signal in efficient.select(['Sensor1', 'Voltage3']):\n signal.plot()\n```\n\nCheck the *examples* folder for extended usage demo, or the documentation\nhttp://asammdf.readthedocs.io/en/master/examples.html\n\nhttps://canlogger.csselectronics.com/canedge-getting-started/log-file-tools/asammdf-api/\n\n\n# Documentation\nhttp://asammdf.readthedocs.io/en/master\n\nAnd a nicely written tutorial on the [CSS Electronics site](https://canlogger.csselectronics.com/canedge-getting-started/log-file-tools/asammdf-gui/)\n\n# Contributing & Support\nPlease have a look over the [contributing guidelines](CONTRIBUTING.md)\n\nIf you enjoy this library please consider making a donation to the\n[numpy project](https://numfocus.org/donate-to-numpy) or to [danielhrisca using liberapay](https://liberapay.com/danielhrisca/donate)![\"Donate](\"https://liberapay.com/assets/widgets/donate.svg\")
\n\n## Contributors\nThanks to all who contributed with commits to *asammdf*:\n* Julien Grave [JulienGrv](https://github.com/JulienGrv)\n* Jed Frey [jed-frey](https://github.com/jed-frey)\n* Mihai [yahym](https://github.com/yahym)\n* Jack Weinstein [jackjweinstein](https://github.com/jackjweinstein)\n* Isuru Fernando [isuruf](https://github.com/isuruf)\n* Felix Kohlgr\u00fcber [fkohlgrueber](https://github.com/fkohlgrueber)\n* Stanislav Frolov [stanifrolov](https://github.com/stanifrolov)\n* Thomas Kastl [kasuteru](https://github.com/kasuteru)\n* venden [venden](https://github.com/venden)\n* Marat K. [kopytjuk](https://github.com/kopytjuk>)\n* freakatzz [freakatzz](https://github.com/freakatzz)\n* Martin Falch [MartinF](https://github.com/MatinF)\n* dxpke [dxpke](https://github.com/dxpke)\n* Nick James [driftregion](https://github.com/driftregion)\n* tobiasandorfer [tobiasandorfer](https://github.com/tobiasandorfer)\n\n# Installation\n*asammdf* is available on\n\n* github: https://github.com/danielhrisca/asammdf/\n* PyPI: https://pypi.org/project/asammdf/\n* conda-forge: https://anaconda.org/conda-forge/asammdf\n\n```shell\npip install asammdf\n# for the GUI \npip install asammdf[gui]\n# or for anaconda\nconda install -c conda-forge asammdf\n```\n\nIn case a wheel is not present for you OS/Python versions and you\nlack the proper compiler setup to compile the c-extension code, then\nyou can simply copy-paste the package code to your site-packages. In this \nway the python fallback code will be used instead of the compiled c-extension code.\n\n# Dependencies\nasammdf uses the following libraries\n\n* numpy : the heart that makes all tick\n* numexpr : for algebraic and rational channel conversions\n* wheel : for installation in virtual environments\n* pandas : for DataFrame export\n* canmatrix : to handle CAN/LIN bus logging measurements\n* natsort\n* lxml : for canmatrix arxml support\n* lz4 : to speed up the disk IO performance\n\noptional dependencies needed for exports\n\n* h5py : for HDF5 export\n* scipy : for Matlab v4 and v5 .mat export\n* hdf5storage : for Matlab v7.3 .mat export\n* fastparquet : for parquet export\n\nother optional dependencies\n\n* PyQt5 : for GUI tool\n* pyqtgraph : for GUI tool and Signal plotting\n* matplotlib : as fallback for Signal plotting\n* cChardet : to detect non-standard Unicode encodings\n* chardet : to detect non-standard Unicode encodings \n* pyqtlet : for GPS window\n* isal : for faster zlib compression/decompression\n\n# Benchmarks\n\nhttp://asammdf.readthedocs.io/en/master/benchmarks.html\n\n\n",
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