COO Arrays from
It’s possible to build
COO arrays from
DOK arrays, if it is not
easy to construct the
data in a simple way.
arrays provide a simple builder interface to build
COO arrays, but at
this time, they can do little else.
You can get started by defining the shape (and optionally, datatype) of the
DOK array. If you do not specify a dtype, it is inferred from the value
dictionary or is set to
dtype('float64') if that is not present.
s = DOK((6, 5, 2)) s2 = DOK((2, 3, 4), dtype=np.float64)
After this, you can build the array by assigning arrays or scalars to elements or slices of the original array. Broadcasting rules are followed.
s[1:3, 3:1:-1] = [[6, 5]]
At the end, you can convert the
DOK array to a
COO array, and
perform arithmetic or other operations on it.
s2 = COO(s)
In addition, it is possible to access single elements of the
using normal Numpy indexing.
s[1, 2, 1] # 5 s[5, 1, 1] # 0