A small package with fast numpy routines written in cython
Documentation
-------------
https://numpyx.readthedocs.io
Installation
------------
pip install numpyx
-----
Functions in this package
-------------------------
All functions here are specialized for double arrays only
Short-cut functions
~~~~~~~~~~~~~~~~~~~
These functions are similar to numpy functions but are faster by
exiting out of a loop when one element satisfies the given condition
* any_less_than
* any_less_or_equal_than
* any_greater_than
* any_greater_or_equal_than
* any_equal_to
* array_is_sorted
* allequal
minmax1d
~~~~~~~~
Calculate min. and max. value in one go
searchsorted1
~~~~~~~~~~~~~
like search sorted, but for 1d double arrays. It is faster than the more generic numpy version
searchsorted2
~~~~~~~~~~~~~
like search sorted but allows to search across any column of a 2d array
nearestidx
~~~~~~~~~~
Return the index of the item in an array which is nearest to a given value. The
array does not need to be sorted (this is a simple linear search)
nearestitem
~~~~~~~~~~~
For any value of an array, search the nearest item in another array and put its
value in the output result
weightedavg
~~~~~~~~~~~
Weighted averageof a time-series
trapz
~~~~~
trapz integration specialized for contiguous / double arrays. Quite faster than generic numpy/scipy
Raw data
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