larray.Array.reshape

Array.reshape(target_axes) → Array[source]

Given a list of new axes, changes the shape of the array. The size of the array (= number of elements) must be equal to the product of length of target axes.

Parameters

target_axesiterable of Axis: New axes. The size of the array (= number of stored data) must be equal to the product of length of target axes.

Returns

Array: New array with new axes but same data.

Examples

>>> arr = ndtest((2, 2, 2))
>>> arr
 a  b\c  c0  c1
a0   b0   0   1
a0   b1   2   3
a1   b0   4   5
a1   b1   6   7
>>> new_arr = arr.reshape([Axis('a=a0,a1'),
...                        Axis(['b0c0', 'b0c1', 'b1c0', 'b1c1'], 'bc')])
>>> new_arr
a\bc  b0c0  b0c1  b1c0  b1c1
  a0     0     1     2     3
  a1     4     5     6     7