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Description:
rmsvax 1.0.4
Introduction
vax is a set of routines for converting between NumPy floating point and complex
scalars/arrays and VAX-format single- and double-precision floats.
vax is a product of the PDS Ring-Moon Systems Node.
Installation
The vax module is available via the rms-vax package on PyPI and can be installed with:
pip install rms-vax
Getting Started
The vax module provides two functions for converting from VAX-format floats:
from_vax32:
Interpret a series of bytes or NumPy array as one or more VAX single-precision floats
and convert them to a NumPy float or complex scalar or array.
from_vax64:
Interpret a series of bytes NumPy array as one or more VAX double-precision floats and
convert them to a NumPy float or complex scalar or array.
and two functions for converting to VAX-format floats::
to_vax32:
Convert a NumPy float or complex scalar or array to a NumPy array containing the
binary representation of VAX single-precision floats. Such an array can not be
used for arithmetic operations since it is not in IEEE 754 format.
to_vax32_bytes:
Convert a NumPy float or complex scalar or array to a Python bytes object containing
the binary representation of VAX single-precision floats.
Note that there are no functions to convert a NumPy array to VAX double-precision format.
Details of each function are available in the module documentation.
Basic operation is as follows:
import vax
b = vax.to_vax32([1., 2., 3.])
print(f'b = {b!r}')
ba = vax.to_vax32_bytes([1., 2., 3.])
print(f'ba = {ba!r}')
v = vax.from_vax32(b)
print(f'v = {v!r}')
va = vax.from_vax32(ba)
print(f'va = {va!r}')
yields:
b = array([2.3138e-41, 2.3318e-41, 2.3407e-41], dtype=float32)
ba = b'\x80@\x00\x00\x00A\x00\x00@A\x00\x00'
v = array([1., 2., 3.], dtype=float32)
va = array([1., 2., 3.], dtype=float32)
As NASA data products stored as VAX-format floats are often provided in JPL's VICAR file
format, you may also be interested in the rms-vicar package
(documentation).
Contributing
Information on contributing to this package can be found in the
Contributing Guide.
Links
Documentation
Repository
Issue tracker
PyPi
Licensing
This code is licensed under the Apache License v2.0.
License
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Files:
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