reckoner wrote:
> How can I have a float64 dtype on a 32-bit machine? For example:
float64 is known as "double" in C, just for this reason.
Modern FPUs use 64 bit (actually more bits), so you can get very good
performance with float64 on 32 bit machines.
And it is the standard Python float as w
On Wed, Mar 24, 2010 at 17:38, reckoner wrote:
> How can I have a float64 dtype on a 32-bit machine? For example:
float64 is a 64-bit float on all machines. A "32-bit machine" refers
only to the size of its memory address space and the size of the
integer type used for pointers. It has no effect
How can I have a float64 dtype on a 32-bit machine? For example:
In [90]: x = array([1/3],dtype=float32)
In [91]: x
Out[91]: array([ 0.3334], dtype=float32)
In [92]: x = array([1/3],dtype=float64)
In [93]: x
Out[93]: array([ 0.])
Obviously, the float32 and float64 representations
