Skip to main content

Read and write common Test & Measurement data types.

Project description

Testing Code testing status Docs testing status Coverage status
Code Quality CodeQL status CodeFactor grade pre-commit status
Package PyPI: Package status PyPI: Latest release version PyPI: Supported Python versions PyPI: Downloads License: Apache 2.0 Package build status PyPI upload status
Documentation ReadtheDocs Status
Code Style Test style: pytest Code style: ruff Docstring style: google
Linting pre-commit enabled Docstring formatter: docformatterLinter: pylint

tm_data_types: Test & Measurement Data Types

tm_data_types provides tools to convert, edit, and write waveform data from Test & Measurement devices. It simplifies handling waveform formats like CSV, WFM, and BIN in Python.

tm_data_types can be used to:

  • Convert CSV, WFM, and BIN format into a waveform object,
  • Add or edit waveform metadata,
  • Write a valid waveform object to a file.

Supported File Formats

Interface File formats
Reader .csv, .wfm[^1]
Writer .csv, .wfm[^1]

Installation

pip install tm_data_types

Basic Usage

Write File

from tm_data_types import AnalogWaveform, write_file

waveform = AnalogWaveform()
file_path = "waveform_1.wfm"
write_file(file_path, waveform)

Read File

from tm_data_types import read_file

file_path = "waveform_1.wfm"
waveform = read_file(file_path)

Documentation

See the full documentation at https://tm-data-types.readthedocs.io

Maintainers

Before reaching out to any maintainers directly, please first check if your issue or question is already covered by any open issues. If the issue or question you have is not already covered, please file a new issue or start a discussion and the maintainers will review and respond there.

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

tm_data_types was created by Tektronix. It is licensed under the terms of the Apache License 2.0.

Security

The signatures of the files uploaded to PyPI and each GitHub Release can be verified using the GitHub CLI attestation verify command. The artifact attestations can also be directly downloaded from the GitHub repo attestations page if desired.

gh attestation verify --owner tektronix <file>

[^1]: Currently, tm_data_types only supports the Tektronix proprietary .wfm format. Support for other formats is planned for future releases.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tm_data_types-0.1.1.tar.gz (49.5 kB view details)

Uploaded Source

Built Distribution

tm_data_types-0.1.1-py3-none-any.whl (63.9 kB view details)

Uploaded Python 3

File details

Details for the file tm_data_types-0.1.1.tar.gz.

File metadata

  • Download URL: tm_data_types-0.1.1.tar.gz
  • Upload date:
  • Size: 49.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.6

File hashes

Hashes for tm_data_types-0.1.1.tar.gz
Algorithm Hash digest
SHA256 6a7178f497e12c028a417f0514b11bbff8873570b92a8d326956cf4438fef6c9
MD5 26337e569aee08758dd4495161a09b53
BLAKE2b-256 69ba2724dc80dd65e99d3f22fdc4a5dcc15af2f5a40f8f0b1e065fc6fffc2d26

See more details on using hashes here.

File details

Details for the file tm_data_types-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for tm_data_types-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 9dee0f09ec087a56fd6c6680846487abc31f0c6e00efbd49e25fdebd4e5159ed
MD5 12919ec6cd47581c20f14a8449566e4a
BLAKE2b-256 700a40fd564d8b84ef37673a41ecff8cb1d3a816aaba42e746966c34676330c8

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page