Parse LeCroy Binary Files.

# lecroyparser

leCroyParser.py parses binary files as written by LeCroy scopes.

leCroyParser.py is derived from the matlab program ReadLeCroyBinaryWaveform.m, available at https://www.mathworks.com/matlabcentral/fileexchange/26375-readlecroybinarywaveform-m, Original version (c)2001 Hochschule fr Technik+Architektur Luzern Fachstelle Elektronik 6048 Horw, Switzerland Slightly modified by Alan Blankman, LeCroy Corporation, 2006

Further elements for the code were taken from pylecroy, written by Steve Bian

A useful resource for modifications is the LeCroy Remote Control Manual available at http://cdn.teledynelecroy.com/files/manuals/dda-rcm-e10.pdf

Lecroyparser has been tested with Python 2.7 and Python 3.6, 3.8

## Installation

lecroyparser is available at pip. It may be installed with

pip install lecroyparser

or with

easy_install lecroyparser

## Usage

To import a single trace, instantiate a ScopeData object by passing it a path, i.e.

import lecroyparser path = "/home/benno/Dropbox/RESEARCH/bullet/experiments/scopeTraces/201804/C1180421_typicalShot00000.trc" data = lecroyparser.ScopeData(path)

The x and y data are stored as numpy arrays in data.x and data.y

Alternatively, to parse several channels set the optional keyword argument parseAll to True, i.e.

data = lecroyparser.ScopeData(path, parseAll = True)

This will parse all files in the specified folder with a matching filename. I.e., if the provided path is as above, then the files

.. code-block:: console

C2180421_typicalShot00000.trc C3180421_typicalShot00000.trc C4180421_typicalShot00000.trc

will pe parsed as well.

Next to reading files, it is possible to read a binary buffer/string directly. For this, supply the data argument instead of file:

import lecroyparser path = "/home/benno/Dropbox/RESEARCH/bullet/experiments/scopeTraces/201804/C1180421_typicalShot00000.trc" contents = open(path, 'rb').read() data = lecroyparser.ScopeData(data=contents)

This is especially useful when reading data directly from oscilloscope using python-vx11 or similar software.

Additionally, it is possible to limit the number of samples in the output array, by overwriting the sparse keyword:

data = lecroyparser.ScopeData(path, parseAll = True, sparse = 1000)

will limit the samples in the x and y dimensions to 1000.

Information about the file can be obtained by calling print(data)

.. code-block:: console

>>> print(data)

Le Croy Scope Data
Path: /Users/...
Endianness: <
Instrument: LECROYHDO4104
Instrunemt Number: 19359
Template Name: LECROY\_2\_3
Channel: Channel 4
Vertical Coupling: DC1M
Bandwidth Limit: on
Record Type: single\_sweep
Processing: No Processing &gt;&gt;&gt; TimeBase: 200 ms/div
TriggerTime: 2018-04-21 11:50:45.76


Copyright (c) 2018-2021 Benno Meier, Jeroen van Oorschot

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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