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width=\"128\" height=\"128\" /\u003e\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 \u003e= 3.10\n\n![PyPI - Downloads](https://img.shields.io/pypi/dm/asammdf)\n![PyPI - License](https://img.shields.io/pypi/l/asammdf)\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/asammdf)\n![PyPI - Version](https://img.shields.io/pypi/v/asammdf)\n[![Checked with mypy](https://www.mypy-lang.org/static/mypy_badge.svg)](https://mypy-lang.org/)\n[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit)](https://github.com/pre-commit/pre-commit)\n[![Ruff](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)\n\n---\n\n![screenshot of the graphical user interface](https://raw.githubusercontent.com/danielhrisca/asammdf/master/gui.png)\n\n## Status\n\n| Continuous Integration                                                                                                                                                                      | Coveralls                                                                                                                                                            | Codacy                                                                                                                                                                                                                                                       | ReadTheDocs                                                                                                                                     |\n| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----------------------------------------------------------------------------------------------------------------------------------------------- |\n| [![continuous integration](https://github.com/danielhrisca/asammdf/actions/workflows/main.yml/badge.svg?branch=master)](https://github.com/danielhrisca/asammdf/actions/workflows/main.yml) | [![Coverage Status](https://coveralls.io/repos/github/danielhrisca/asammdf/badge.svg?branch=master)](https://coveralls.io/github/danielhrisca/asammdf?branch=master) | [![Codacy Badge](https://api.codacy.com/project/badge/Grade/a3da21da90ca43a5b72fc24b56880c99?branch=master)](https://www.codacy.com/app/danielhrisca/asammdf?utm_source=github.com\u0026utm_medium=referral\u0026utm_content=danielhrisca/asammdf\u0026utm_campaign=badger) | [![Documentation Status](http://readthedocs.org/projects/asammdf/badge/?version=master)](http://asammdf.readthedocs.io/en/master/?badge=stable) |\n\n| PyPI                                                                                      | conda-forge                                                                                                                     |\n| ----------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |\n| [![PyPI version](https://badge.fury.io/py/asammdf.svg)](https://badge.fury.io/py/asammdf) | [![conda-forge version](https://anaconda.org/conda-forge/asammdf/badges/version.svg)](https://anaconda.org/conda-forge/asammdf) |\n\n## Project goals\n\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 3rd 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 pandas, HDF5, Matlab (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  - 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    - 0 - array\n    - 1 - scaling axis\n    - 2 - look-up\n- add and extract attachments for mdf version 4\n- handle large files (for example merging two files, 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  - pandas DataFrames are good if all the channels have the same time base\n  - a measurement will usually have channels from different sources at different rates\n  - the _Signal_ class facilitates operations with such channels\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  - functionality related to sample reduction block: the sample reduction blocks are simply ignored\n- for version 4\n  - experimental support for MDF v4.20 column oriented storage\n  - functionality related to sample reduction block: the sample 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\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\n\u003chttp://asammdf.readthedocs.io/en/master/examples.html\u003e\n\n\u003chttps://canlogger.csselectronics.com/canedge-getting-started/ce3/log-file-tools/asammdf-gui/\u003e\n\n## Documentation\n\n\u003chttp://asammdf.readthedocs.io/en/master\u003e\n\nAnd a nicely written tutorial on the [CSS Electronics site](https://canlogger.csselectronics.com/canedge-getting-started/ce3/log-file-tools/asammdf-gui/).\n\n## Contributing \u0026 Support\n\nPlease have a look at 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).\n\n[![Donate using Liberapay](https://liberapay.com/assets/widgets/donate.svg)](https://liberapay.com/danielhrisca/donate)\n\n### Contributors\n\nThanks to all who contributed with commits to _asammdf_:\n\n[![profile pictures of the contributors](https://contrib.rocks/image?repo=danielhrisca/asammdf)](https://github.com/danielhrisca/asammdf/graphs/contributors)\n\n## Installation\n\n_asammdf_ is available on\n\n- GitHub: \u003chttps://github.com/danielhrisca/asammdf/\u003e\n- PyPI: \u003chttps://pypi.org/project/asammdf/\u003e\n- conda-forge: \u003chttps://anaconda.org/conda-forge/asammdf\u003e\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 your 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\n\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- python-dateutil : measurement start time handling\n\nOptional dependencies needed for exports\n\n- h5py : for HDF5 export\n- hdf5storage : for Matlab v7.3 .mat export\n- pyarrow : for parquet export\n- scipy: for Matlab v4 and v5 .mat export\n\nOther optional dependencies\n\n- PySide6 : for GUI tool\n- pyqtgraph : for GUI tool and Signal plotting\n- matplotlib : as fallback for Signal plotting\n- faust-cchardet : to detect non-standard Unicode encodings\n- chardet : to detect non-standard Unicode encodings\n- pyqtlet2 : for the GPS window\n- isal : for faster zlib compression/decompression\n- fsspec : access files stored in the cloud\n\n## Benchmarks\n\n\u003chttp://asammdf.readthedocs.io/en/master/benchmarks.html\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanielhrisca%2Fasammdf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdanielhrisca%2Fasammdf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdanielhrisca%2Fasammdf/lists"}