A fast, typed, resizable, Cython array.
cyarray: a typed, re-sizable Cython array
The cyarray package provides a fast, typed, re-sizable, Cython array.
It currently provides the following arrays: IntArray, UIntArray, LongArray, FloatArray, DoubleArray.
All arrays provide for the following operations:
- access by indexing.
- access through get/set function.
- resizing the array.
- appending values at the end of the array.
- reserving space for future appends.
- access to internal data through a numpy array.
If you are writing Cython code this is a convenient array to use as it exposes the raw underlying pointer to the data. For example if you use a FloatArray and access its data attribute it will be a float*.
Each array also provides an interface to its data through a numpy array. This is done through the get_npy_array function. The returned numpy array can be used just like any other numpy array but for the following restrictions:
- the array may not be resized.
- references of this array should not be kept.
- slices of this array may not be made.
The numpy array may however be copied and used in any manner.
cyarray can be installed using pip:
$ pip install cyarray
The package requires Cython, numpy, and mako to be installed and also requires a suitably configured C/C++ compiler.
In Python one may import and use the package as:
from cyarray.api import IntArray a = IntArray(10)
Here a is an array of 10 integers.
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