Metadata-Version: 2.4
Name: gsffile
Version: 0.5.3
Summary: Read and write Gwyddion Simple Field files
Project-URL: Repository, https://github.com/angelo-peronio/gsffile
Project-URL: Issues, https://github.com/angelo-peronio/gsffile/issues
Project-URL: GSF format, http://gwyddion.net/documentation/user-guide-en/gsf.html
Author: Carlo Dri, Angelo Peronio
License-Expression: MIT
License-File: LICENSE
Keywords: Gwyddion,Gwyddion Simple Field,gsf
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: File Formats
Classifier: Topic :: Scientific/Engineering :: Image Processing
Classifier: Typing :: Typed
Requires-Python: >=3.10
Requires-Dist: numpy>=1.24
Description-Content-Type: text/markdown

# Read and write Gwyddion Simple Field files

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[![DOI](https://zenodo.org/badge/821387178.svg)](https://doi.org/10.5281/zenodo.16998022)

`gsffile` is a Python module to:

* read image and metadata from [Gwyddion Simple Field](http://gwyddion.net/documentation/user-guide-en/gsf.html) (.gsf) files, and
* store NumPy arrays in Gwyddion Simple Field files.

It features type annotations, minimal logging, and an overgrown test suite.

## Setup

Install with `pip`

```bash
python -m pip install gsffile
```

or with `conda`

```bash
conda install gsffile
```

## Quickstart

```python
>>> from gsffile import read_gsf, write_gsf
>>> import numpy as np

# The Gwyddion Simple Field format supports only 32-bit floating point data.
>>> data = np.eye(100, dtype=np.float32)

# Optional metadata.
>>> metadata = {
...    "XReal": 5e-05,
...    "YReal": 5e-05,
...    "XYUnits": "m",
...    "ZUnits": "V",
...    "CustomKey": 33,
...    }

>>> write_gsf("example.gsf", data, metadata)

>>> data, metadata = read_gsf("example.gsf")

```

## Documentation

`gsffile` is documented via docstrings:

```bash
python -c "import gsffile; help(gsffile)"
```

## How to cite

Cite `gsffile` in your published work using the metadata in [`CITATION.cff`](CITATION.cff).
