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fpzip is a compression algorithm supporting lossless and lossy encoding for up to 4 dimensional floating point data. This package contains Python C++ bindings for the fpzip algorithm (version 1.3.0). The version number for this package is independent. Python 3.7+ is supported.
import fpzip
import numpy as np
data = np.array(..., dtype=np.float32) # up to 4d float or double array
# Compress data losslessly, interpreting the underlying buffer in C (default) or F order.
compressed_bytes = fpzip.compress(data, precision=0, order='C') # returns byte string
# Back to 3d or 4d float or double array, decode as C (default) or F order.
data_again = fpzip.decompress(compressed_bytes, order='C')
pip
Binary Installationpip install fpzip
If we have a precompiled binary available the above command should just work. However, if you have to compile from sounce, it's unfortunately necessary to install numpy first because of a quirk in the Python installation procedure that won't easily recognize when a numpy installation completes in the same process. There are some hacks, but I haven't gotten them to work.
pip
Source InstallationRequires C++ compiler.
pip install numpy
pip install fpzip
Requires C++ compiler.
$ pip install numpy
$ python setup.py develop
Algorithm and C++ code by Peter Lindstrom and Martin Isenburg. Cython interface code by William Silversmith. Check out Dr. Lindstrom's site or the fpzip Github page.
FAQs
Numpy wrapper for fpzip algorithm (P. Lindstrom & M. Isenburg, 2006)
We found that fpzip demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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