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</div>
---
# 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
<div markdown="1" class="custom-table-center-cells support-table">
| Interface | File formats |
| --------- | ------------------ |
| Reader | **.csv, .wfm[^1]** |
| Writer | **.csv, .wfm[^1]** |
</div>
## Installation
```shell
pip install tm_data_types
```
## Basic Usage
### Write File
```python
from tm_data_types import AnalogWaveform, write_file
waveform = AnalogWaveform()
file_path = "waveform_1.wfm"
write_file(file_path, waveform)
```
### Read File
```python
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](https://github.com/tektronix/tm_data_types/issues). If the issue or
question you have is not already covered, please [file a new
issue](https://github.com/tektronix/tm_data_types/issues/new/choose) or
start a
[discussion](https://github.com/tektronix/tm_data_types/discussions) and
the maintainers will review and respond there.
- <opensource@tektronix.com> - For open-source policy and license
questions.
## Contributing
Interested in contributing? Check out the [contributing guidelines](https://github.com/tektronix/tm_data_types/blob/main/CONTRIBUTING.md). Please
note that this project is released with a [Code of Conduct](https://github.com/tektronix/tm_data_types/blob/main/CODE_OF_CONDUCT.md). 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](https://github.com/tektronix/tm_data_types/blob/main/LICENSE.md).
## Security
The signatures of the files uploaded to [PyPI](https://pypi.org/project/tm_data_types/) and each
[GitHub Release](https://github.com/tektronix/tm_data_types/releases) can be verified using
the [GitHub CLI `attestation verify` command](https://cli.github.com/manual/gh_attestation_verify).
The artifact attestations can also be directly downloaded from the
[GitHub repo attestations page](https://github.com/tektronix/tm_data_types/attestations) if desired.
```shell
gh attestation verify --owner tektronix <file>
```
[^1]: Currently, `tm_data_types` only supports the [Tektronix proprietary `.wfm`](https://download.tek.com/manual/Waveform-File-Format-Manual-077022011.pdf) format. Support for other formats is planned for future releases.
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---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- 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Downloads"](https://pepy.tech/project/tm_data_types) [](https://github.com/tektronix/tm_data_types/blob/main/LICENSE.md) [](https://github.com/tektronix/tm_data_types/actions/workflows/package-build.yml) [](https://github.com/tektronix/tm_data_types/actions/workflows/package-release.yml) |\n| **Documentation** | [](https://tm-data-types.readthedocs.io) |\n| **Code Style** | [](https://github.com/pytest-dev/pytest) [](https://docs.astral.sh/ruff/formatter/) [](https://google.github.io/styleguide/pyguide.html) |\n| **Linting** | [](https://github.com/pre-commit/pre-commit) [](https://github.com/PyCQA/docformatter)[](https://github.com/pylint-dev/pylint) |\n\n</div>\n\n---\n\n# tm_data_types: Test & Measurement Data Types\n\n`tm_data_types` provides tools to convert, edit, and write waveform data from Test & Measurement devices.\nIt simplifies handling waveform formats like CSV, WFM, and BIN in Python.\n\n`tm_data_types` can be used to:\n\n- **Convert** CSV, WFM, and BIN format into a waveform object,\n- **Add or edit** waveform metadata,\n- **Write** a valid waveform object to a file.\n\n## Supported File Formats\n\n<div markdown=\"1\" class=\"custom-table-center-cells support-table\">\n\n| Interface | File formats |\n| --------- | ------------------ |\n| Reader | **.csv, .wfm[^1]** |\n| Writer | **.csv, .wfm[^1]** |\n\n</div>\n\n## Installation\n\n```shell\npip install tm_data_types\n```\n\n## Basic Usage\n\n### Write File\n\n```python\nfrom tm_data_types import AnalogWaveform, write_file\n\nwaveform = AnalogWaveform()\nfile_path = \"waveform_1.wfm\"\nwrite_file(file_path, waveform)\n```\n\n### Read File\n\n```python\nfrom tm_data_types import read_file\n\nfile_path = \"waveform_1.wfm\"\nwaveform = read_file(file_path)\n```\n\n## Documentation\n\nSee the full documentation at <https://tm-data-types.readthedocs.io>\n\n## Maintainers\n\nBefore reaching out to any maintainers directly, please first check if\nyour issue or question is already covered by any [open\nissues](https://github.com/tektronix/tm_data_types/issues). If the issue or\nquestion you have is not already covered, please [file a new\nissue](https://github.com/tektronix/tm_data_types/issues/new/choose) or\nstart a\n[discussion](https://github.com/tektronix/tm_data_types/discussions) and\nthe maintainers will review and respond there.\n\n- <opensource@tektronix.com> - For open-source policy and license\n questions.\n\n## Contributing\n\nInterested in contributing? Check out the [contributing guidelines](https://github.com/tektronix/tm_data_types/blob/main/CONTRIBUTING.md). Please\nnote that this project is released with a [Code of Conduct](https://github.com/tektronix/tm_data_types/blob/main/CODE_OF_CONDUCT.md). By\ncontributing to this project, you agree to abide by its terms.\n\n## License\n\n`tm_data_types` was created by Tektronix. It is licensed under the terms of\nthe [Apache License 2.0](https://github.com/tektronix/tm_data_types/blob/main/LICENSE.md).\n\n## Security\n\nThe signatures of the files uploaded to [PyPI](https://pypi.org/project/tm_data_types/) and each\n[GitHub Release](https://github.com/tektronix/tm_data_types/releases) can be verified using\nthe [GitHub CLI `attestation verify` command](https://cli.github.com/manual/gh_attestation_verify).\nThe artifact attestations can also be directly downloaded from the\n[GitHub repo attestations page](https://github.com/tektronix/tm_data_types/attestations) if desired.\n\n```shell\ngh attestation verify --owner tektronix <file>\n```\n\n[^1]: Currently, `tm_data_types` only supports the [Tektronix proprietary `.wfm`](https://download.tek.com/manual/Waveform-File-Format-Manual-077022011.pdf) format. Support for other formats is planned for future releases.\n\n",
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