Gleanings of Python

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kwargs: key word arguments

take

in numpy: Return an array formed from the elements of

a

at the given in indices.

import numpy as np
a = np.asarray(range(10) - 9)
b = a.take([2,3])

output:
array([-7, -6])

c_, r_

help(np.c_):

Translates slice objects to concatenation along the second axis.
|
|  This is short-hand for ``np.r_['-1,2,0', index expression]``, which is
|  useful because of its common occurrence. In particular, arrays will be
|  stacked along their last axis after being upgraded to at least 2-D with
|  1's post-pended to the shape (column vectors made out of 1-D arrays).
|
|  For detailed documentation, see `r_`.
|
|  Examples
|  --------
|  >>> np.c_[np.array([[1,2,3]]), 0, 0, np.array([[4,5,6]])]
|  array([[1, 2, 3, 0, 0, 4, 5, 6]])