Multi-Dimensional Array (ndarray)

nlcpy.ndarray is the NLCPy counterpart of NumPy numpy.ndarray. 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.

ndarray class


N-dimensional array class for VE.

Array Indexing

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

  • Out-of-bounds indices

    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.