Metadata-Version: 2.4
Name: netpbmfile
Version: 2025.5.8
Summary: Read and write Netpbm files
Home-page: https://www.cgohlke.com
Author: Christoph Gohlke
Author-email: cgohlke@cgohlke.com
License: BSD-3-Clause
Project-URL: Bug Tracker, https://github.com/cgohlke/netpbmfile/issues
Project-URL: Source Code, https://github.com/cgohlke/netpbmfile
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
License-File: LICENSE
Requires-Dist: numpy
Provides-Extra: all
Requires-Dist: tifffile; extra == "all"
Requires-Dist: matplotlib; extra == "all"
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Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: platform
Dynamic: project-url
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Read and write Netpbm files
===========================

Netpbmfile is a Python library to read and write image files in the Netpbm
or related formats:

- PBM (Portable Bit Map): P1 (text) and P4 (binary)
- PGM (Portable Gray Map): P2 (text) and P5 (binary)
- PPM (Portable Pixel Map): P3 (text) and P6 (binary)
- PNM (Portable Any Map): shorthand for PBM, PGM, and PPM collectively
- PAM (Portable Arbitrary Map): P7, bilevel, gray, and rgb
- PGX (Portable Graymap Signed): PG, signed grayscale
- PFM (Portable Float Map): Pf (gray), PF (rgb), and PF4 (rgba), read-only
- XV thumbnail: P7 332 (rgb332), read-only

The Netpbm formats are specified at https://netpbm.sourceforge.net/doc/.

The PGX format is specified in ITU-T Rec. T.803.

No gamma correction or scaling is performed.

:Author: `Christoph Gohlke <https://www.cgohlke.com>`_
:License: BSD-3-Clause
:Version: 2025.5.8

Quickstart
----------

Install the netpbmfile package and all dependencies from the
`Python Package Index <https://pypi.org/project/netpbmfile/>`_::

    python -m pip install -U "netpbmfile[all]"

See `Examples`_ for using the programming interface.

Source code and support are available on
`GitHub <https://github.com/cgohlke/netpbmfile>`_.

Requirements
------------
This revision was tested with the following requirements and dependencies
(other versions may work):

- `CPython <https://www.python.org>`_ 3.10.11, 3.11.9, 3.12.9, 3.13.2 64-bit
- `NumPy <https://pypi.org/project/numpy/>`_ 2.2.5

Revisions
---------

2025.5.8

- Remove doctest command line option.

2025.1.1

- Improve type hints.
- Drop support for Python 3.9, support Python 3.13.

2024.5.24

- Fix docstring examples not correctly rendered on GitHub.

2024.4.24

- Support NumPy 2.

2023.8.30

- Fix linting issues.
- Add py.typed marker.

2023.6.15

- Drop support for Python 3.8 and numpy < 1.21 (NEP29).
- Improve type hints.

2023.1.1

- Several breaking changes:
- Rename magicnum to magicnumber (breaking).
- Rename tupltypes to tupltype (breaking).
- Change magicnumber and header properties to str (breaking).
- Replace pam parameter with magicnumber (breaking).
- Move byteorder parameter from NetpbmFile.asarray to NetpbmFile (breaking).
- Fix shape and axes properties for multi-image files.
- Add maxval and tupltype parameters to NetpbmFile.fromdata and imwrite.
- Add option to write comment to PNM and PAM files.
- Support writing PGX and text formats.
- Add Google style docstrings.
- Add unittests.

2022.10.25

- …

Refer to the CHANGES file for older revisions.

Examples
--------

Write a numpy array to a Netpbm file in grayscale binary format:

>>> import numpy
>>> data = numpy.array([[0, 1], [65534, 65535]], dtype=numpy.uint16)
>>> imwrite('_tmp.pgm', data)

Read the image data from a Netpbm file as numpy array:

>>> image = imread('_tmp.pgm')
>>> numpy.testing.assert_equal(image, data)

Access meta and image data in a Netpbm file:

>>> with NetpbmFile('_tmp.pgm') as pgm:
...     pgm.magicnumber
...     pgm.axes
...     pgm.shape
...     pgm.dtype
...     pgm.maxval
...     pgm.asarray().tolist()
...
'P5'
'YX'
(2, 2)
dtype('>u2')
65535
[[0, 1], [65534, 65535]]

View the image and metadata in the Netpbm file from the command line::

    $ python -m netpbmfile _tmp.pgm
