types as functions convert 1 elm arrays to scalars
Hello,
I have a quick question that I'm hoping will improve my numpy understanding. I noticed some behavior when using float64 to convert a matrix type that I didn't expect:
In [35]: b1 = array([1.0])
In [36]: float64(b1) Out[36]: 1.0
In [37]: b2 = array([1.0, 2.0])
In [38]: float64(b2) Out[38]: array([ 1., 2.])
I didn't expect calling float64 would convert b1 to a scalar. Seems like an inconsistency. I assume this is intentional, as someone would have noticed it a long time ago if not, so could someone explain the reasoning behind it? (or point me to a source that will help?)
Thanks! --Hoyt
On Tue, Apr 29, 2008 at 12:28 AM, Hoyt Koepke hoytak@gmail.com wrote:
Hello,
I have a quick question that I'm hoping will improve my numpy understanding. I noticed some behavior when using float64 to convert a matrix type that I didn't expect:
In [35]: b1 = array([1.0])
In [36]: float64(b1) Out[36]: 1.0
In [37]: b2 = array([1.0, 2.0])
In [38]: float64(b2) Out[38]: array([ 1., 2.])
I didn't expect calling float64 would convert b1 to a scalar. Seems like an inconsistency. I assume this is intentional, as someone would have noticed it a long time ago if not, so could someone explain the reasoning behind it? (or point me to a source that will help?)
It's inconsistent and looks like a bug:
In [4]: float32(array([[[1]]])) Out[4]: array([[[ 1.]]], dtype=float32)
In [5]: float64(array([[[1]]])) Out[5]: 1.0
Float64 is a bit special because it starts as the python float. Maybe Travis can say what the differences are.
Chuck
To be honest, this doesn't seem justifiable.
Where it got me is interfacing with c-code that expected a 1d array, and I was calling it with arrays of varying length. I was using this to ensure the proper typing; however, when the array was length 1, the program crashed...
Should I file a bug report?
--Hoyt
On Mon, Apr 28, 2008 at 11:51 PM, Charles R Harris charlesr.harris@gmail.com wrote:
On Tue, Apr 29, 2008 at 12:28 AM, Hoyt Koepke hoytak@gmail.com wrote:
Hello,
I have a quick question that I'm hoping will improve my numpy understanding. I noticed some behavior when using float64 to convert a matrix type that I didn't expect:
In [35]: b1 = array([1.0])
In [36]: float64(b1) Out[36]: 1.0
In [37]: b2 = array([1.0, 2.0])
In [38]: float64(b2) Out[38]: array([ 1., 2.])
I didn't expect calling float64 would convert b1 to a scalar. Seems like an inconsistency. I assume this is intentional, as someone would have noticed it a long time ago if not, so could someone explain the reasoning behind it? (or point me to a source that will help?)
It's inconsistent and looks like a bug:
In [4]: float32(array([[[1]]])) Out[4]: array([[[ 1.]]], dtype=float32)
In [5]: float64(array([[[1]]])) Out[5]: 1.0
Float64 is a bit special because it starts as the python float. Maybe Travis can say what the differences are.
Chuck
Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
On Thu, May 1, 2008 at 7:49 PM, Hoyt Koepke hoytak@gmail.com wrote:
To be honest, this doesn't seem justifiable.
Where it got me is interfacing with c-code that expected a 1d array, and I was calling it with arrays of varying length. I was using this to ensure the proper typing; however, when the array was length 1, the program crashed...
Should I file a bug report?
I already did, it's ticket #764.
Chuck
Okay, thanks! I didn't check.
--Hoyt
On Thu, May 1, 2008 at 7:00 PM, Charles R Harris charlesr.harris@gmail.com wrote:
On Thu, May 1, 2008 at 7:49 PM, Hoyt Koepke hoytak@gmail.com wrote:
To be honest, this doesn't seem justifiable.
Where it got me is interfacing with c-code that expected a 1d array, and I was calling it with arrays of varying length. I was using this to ensure the proper typing; however, when the array was length 1, the program crashed...
Should I file a bug report?
I already did, it's ticket #764.
Chuck
Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
participants (2)
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Charles R Harris -
Hoyt Koepke