numexpr
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pydata
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
I would be willing to work on this. The C++ standard library does not have great support for Bessel functions, but the boost library has a good implementation [here](http://www.boost.org/doc/libs/1_62_0/libs/math/doc/html/math_toolkit/bessel/bessel_first.html). What...
When summing over an array that contains a dimension with length zero, `numexpr.sum` fails to reduce the dimensions and instead returns a result with the same shape as the input....
Any chance of working in more efficient multi-dimensional histograms?
This is more of a question, rather than an issue, but I couldn't find a reference to a users list, so I hope it's ok here. After rewriting code to...
`numexpr` is a great project, and in order for it to grow in 2016+, it will require PRs from other developers, since the original authors are busy (but thankfully still...
_From [[email protected]](https://code.google.com/u/116542735539833781200/) on January 07, 2013 12:27:41_ What steps will reproduce the problem? 1. a = arange(10) 2. numexpr.evaluate('(a == a) + (a == a)') What is the expected output?...
Currently, the instructions `````` import numpy import numexpr a = numpy.zeros((2,2)) numexpr.evaluate('0.0', out=a)``` `````` fail with error `ValueError: output for a constant expression must have size 1` It would be...
_From [[email protected]](https://code.google.com/u/114215716443835783112/) on June 05, 2012 22:59:55_ This is an enhancement request. I frequently need to create multidimensional histograms from data stored in PyTables, usually of variables computed from the...
_From [[email protected]](https://code.google.com/u/106918717354666582258/) on October 29, 2013 18:45:01_ What steps will reproduce the problem? luke@node041 ~ $ python Python 2.7.3 (default, Sep 25 2013, 09:17:55) [GCC 4.4.5 20110214 (Red Hat 4.4.5-6)]...