lorenzo bolla wrote:
> Hi all.
> I have to work with floating point arithmetics and I found a module
> called "double module"
> (http://symptotic.com/mj/double/public/double-module.html
> <http://symptotic.com/mj/double/public/double-module.html>) that does
> what I'd like. Basically, I would like to find the nearest smaller and
> bigger floating point numbers, given a "real" real number (the
> function |doubleToLongBits|
> <http://symptotic.com/mj/double/public/double-module.html#doubleToLongBits>
> can
> be used to do just that.).
> Is there something similar in numpy?
> In other words: is there a way, in numpy, to convert a floating point
> number to its binary representation and back?
Sure:
floating-point ---> binary representation
a = numpy.pi
bitstr = numpy.binary_repr(numpy.float_(a).view('u8'))
print bitstr
'100000000001001001000011111101101010100010001000010110100011000'
Then:
binary representation --> floating point
number = numpy.uint64(int(bitstr,base=2)).view('f8')
-Travis
_______________________________________________
Numpy-discussion mailing list
[email protected]
http://projects.scipy.org/mailman/listinfo/numpy-discussion
