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Rue Yokaze edited this page Jul 2, 2017
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python-multi-array exports std::shared_ptr<boost::multi_array<T, N>> for
T: bool, uint8, uint16, uint32, uint64, int8, int16, int32, int64, float32 and floa64
N: 1 to 8.
The library serves a powerful tool to cooperate python and its extension modules written in C++. You can create arrays and set values in python, make heavy calculation in C++ (OpenMP and every other C++ tools are available,) and get back to python and display the results using matplotlib.
The array is allocated via multi_array.make.
>>> import numpy, multi_array >>> multi_array.make((4, 2), numpy.float32) <multi_array.shared_float_matrix object at 0x10aeb3f50>)
The array itself has simple I/O APIs:
>>> x = multi_array.make((4, 2), numpy.float32) >>> x.num_dimensions() 2 >>> x.num_elements() 8 >>> x.shape() (4, 2) >>> x[1, 1] = 3 >>> x[1, 1] 3.0
and conversion APIs with numpy.ndarray.
>>> x.set(scipy.rand(4, 2)) >>> type(x.get()) <type 'numpy.ndarray'> >>> x.get() array([[ 0.91382688, 0.374331 ], [ 0.43389955, 0.5571261 ], [ 0.6937117 , 0.40599877], [ 0.80906659, 0.75029951]], dtype=float32)