[Numpy-discussion] dtyping with .astype()
Alex van der Spek
zdoor at xs4all.nl
Thu Oct 13 06:59:02 EDT 2011
Beginner's question?
I have this dictionary dtypes of names and types:
>>>dtypes
{'names': ['col1', 'col2', 'col3', 'col4', 'col5'], 'formats': [<type
'numpy.float16'>, <type 'numpy.float16'>, <type 'numpy.float16'>, <type
'numpy.float16'>, <type 'numpy.float16'>]}
and this array y
>>> y
array([[ 0, 1, 2, 3, 4],
[ 5, 6, 7, 8, 9],
[10, 11, 12, 13, 14],
[15, 16, 17, 18, 19],
[20, 21, 22, 23, 24],
[25, 26, 27, 28, 29],
[30, 31, 32, 33, 34],
[35, 36, 37, 38, 39],
[40, 41, 42, 43, 44],
[45, 46, 47, 48, 49]])
But:
>>>>z=y.astype(dtypes)
gives me a confusing result. I only asked to name the columns and change their
types to half precision floats.
What am I missing? How to do this?
Thank you in advance,
Alex van der Spek
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