Multi-Dimensional Array (ndarray)
nlcpy.ndarray is the NLCPy counterpart of NumPy
It provides an intuitive interface for a fixed-size multidimensional array which resides
in a VE.
For the basic concept of
ndarray, please refer to the NumPy documentation.
N-dimensional array class for VE.
Arrays can be indexed using an extended Python slicing syntax, array[selection]. For the basic concept of indexing arrays, please refer to the NumPy Array Indexing.
Differences from NumPy
NLCPy handles out-of-bounds indices differently by default from NumPy when using integer array indexing. NumPy handles them by raising an error, but NLCPy wraps around them.
>>> import numpy as np >>> import nlcpy as vp >>> nx = np.arange(3) >>> nx[[0, 1, 5]] Traceback (most recent call last): File "<stdin>", line 1, in <module> IndexError: index 5 is out of bounds for axis 0 with size 3 >>> vx = vp.arange(3) >>> vx[[0, 1, 5]] array([0, 1, 2])
Multiple boolean indices
NLCPy does not support slices that consists of more than one boolean arrays.