semvec/pypi-packages huggingface dataset:
edfio 0.4.13
Read and write EDF/EDF+C/BDF/BDF+C files.
License: Apache-2.0
Requires Python: >=3.9

# edfio

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edfio is a Python package for reading and writing [EDF](https://www.edfplus.info/specs/edf.html) and [EDF+C](https://www.edfplus.info/specs/edfplus.html) files.

It requires Python>=3.9 and NumPy>=1.22 and is available on PyPI:

    pip install edfio

- Support for EDF, EDF+C, BDF, and BDF+C including annotations
- Fast I/O thanks to NumPy - read and write GB-sized files in seconds
- Fail late on read: Non-compliant header fields only raise an exception when the corresponding property is accessed.
- Fail early on write: Trying to create a new non-compliant EDF file raises an exception.
- Object-oriented design and type annotations for IDE autocompletion
- Pure Python implementation and 100% test coverage to simplify contributions


## Features
- Read/write from/to files or file-like objects
- Modify signal and recording headers
- Drop EDF+ annotations
- Slice recordings (by seconds or annotation texts)
- Drop individual signals
- Anonymize recordings
- BDF file ([BioSemi](https://www.biosemi.com/faq/file_format.htm)) support


## Known limitations
- Discontiguous files (EDF+D) are treated as contiguous ones.
- The maximum data record size of 61440 bytes recommended by the [EDF specs](https://www.edfplus.info/specs/edf.html) is not enforced.
- To write an EDF with a non-integer seconds duration, the data record duration has to be manually set to an appropriate value.
- Slicing an EDF to a timespan that is not an integer multiple of the data record duration does not work.


## Contributing
Contributions are welcome and highly appreciated.
Check out the [contributing guidelines](https://edfio.readthedocs.io/en/stable/contributing) to get started.


## Usage
Further information is available in the [API reference](https://edfio.readthedocs.io/en/stable/reference) and [usage examples](https://edfio.readthedocs.io/en/stable/examples).

To read an EDF from a file, use `edfio.read_edf`:

```python
from edfio import read_edf

edf = read_edf("example.edf")
```

A new EDF can be created and written to a file as follows:

```python
import numpy as np

from edfio import Edf, EdfSignal

edf = Edf(
    [
        EdfSignal(np.random.randn(30 * 256), sampling_frequency=256, label="EEG Fpz"),
        EdfSignal(np.random.randn(30), sampling_frequency=1, label="Body Temp"),
    ]
)
edf.write("example.edf")
```