np.lib.index_trickshas a number of functions (and classes) that can optimize indexing. np.s_- one of these functions. This is actually an instance of the class that the method has __get_item__, so it uses the notation []you want.
Illustration of its use:
In [249]: np.s_[1:5:2,::3]
Out[249]: (slice(1, 5, 2), slice(None, None, 3))
In [250]: np.arange(2*10*4).reshape(2,10,4)[_]
Out[250]:
array([[[40, 41, 42, 43],
[52, 53, 54, 55],
[64, 65, 66, 67],
[76, 77, 78, 79]]])
In [251]: np.arange(2*10*4).reshape(2,10,4)[1:5:2,::3]
Out[251]:
array([[[40, 41, 42, 43],
[52, 53, 54, 55],
[64, 65, 66, 67],
[76, 77, 78, 79]]])
, , ajcr.
_ - , IPython .
, :
def myfunction(some_object_from_which_an_array_will_be_made, my_index=np.s_[:,:]):
my_array = whatever(some_object_from_which_an_array_will_be_made)
return my_array[my_index]
I = np.s_[1:5:2,::3]
myfunction(obj, my_index=I)