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farbfeld.py\n\n[![Build Status](https://travis-ci.org/jmp/farbfeld.svg?branch=master)](https://travis-ci.org/jmp/farbfeld)\n[![codecov](https://codecov.io/gh/jmp/farbfeld/branch/master/graph/badge.svg)](https://codecov.io/gh/jmp/farbfeld)\n[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/jmp/farbfeld.svg)](https://lgtm.com/projects/g/jmp/farbfeld/context:python)\n[![PyPI version](https://badge.fury.io/py/farbfeld.svg)](https://badge.fury.io/py/farbfeld)\n\nThis is a small Python module for reading and writing pixel data\nfrom farbfeld images (https://tools.suckless.org/farbfeld/).\n\n## Installation\n\nThe module is available on PyPI: https://pypi.org/project/farbfeld/\n\nYou can install it with `pip`:\n\n    pip install farbfeld\n\n## Usage\n\nTo read an image, open the desired file and read the pixels\nfrom it using `farbfeld.read`:\n\n```python\nimport farbfeld\n\nwith open('image.ff', 'rb') as f:\n    data = farbfeld.read(f)\n```\n\nNote that since farbfeld stores pixel components as 16-bit\nunsigned integers, you may have to normalize them or scale\nthem to a different range (e.g. 8-bit). For example, using\nNumPy and Matplotlib:\n\n```python\nimport farbfeld\nimport numpy as np\nimport matplotlib.pyplot as plt\n\nwith open('image.ff', 'rb') as f:\n    data = farbfeld.read(f)\n    data_8bit = np.array(data).astype(np.uint8)\n    plt.imshow(data_8bit, interpolation='nearest')\n    plt.show()\n```\n\nTo write a farbfeld image, open the desired file and write the pixels\ninto it using `farbfeld.write`:\n\n```python\nimport farbfeld\n\n# An example 2x2 image\ndata = [\n    [[1, 2, 3, 4], [5, 6, 7, 8]],\n    [[9, 10, 11, 12], [13, 14, 15, 16]],\n]\n\nwith open('image.ff', 'wb') as f:\n    farbfeld.write(f, data)\n```\n\n## Source code\n\nThe source code is available on GitHub:\nhttps://github.com/jmp/farbfeld\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmp%2Ffarbfeld","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjmp%2Ffarbfeld","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjmp%2Ffarbfeld/lists"}