Hi,
On Sun, Sep 9, 2012 at 6:12 PM, Frédéric Bastien no...@nouiz.org wrote:
The third is releated to change to the casting rules in numpy. Before
a scalar complex128 * vector float32 gived a vector of dtype
complex128. Now it give a vector of complex64. The reason is that now
the scalar of
Consider the following code:
import numpy as np
a = np.array([1, 2, 3, 4, 5], dtype=np.int16)
a *= float(255) / 15
In v1.6.x, this yields:
array([17, 34, 51, 68, 85], dtype=int16)
But in master, this throws an exception about failing to cast via same_kind.
Note that numpy was smart about this
Consider the following:
import numpy as np
np.__version__
'1.6.1'
arr = np.asarray([[1, 2, 3]])
arr[0]
Traceback (most recent call last):
File ipython-input-5-28d5d8b86f9b, line 1, in module
arr[0]
ValueError: field named 0 not found.
arr[0,]
array([1, 2, 3])
arr[0, 1]
2
arr[0, 1]
2
On Sep 17, 2012, at 8:42 AM, Benjamin Root wrote:
Consider the following code:
import numpy as np
a = np.array([1, 2, 3, 4, 5], dtype=np.int16)
a *= float(255) / 15
In v1.6.x, this yields:
array([17, 34, 51, 68, 85], dtype=int16)
But in master, this throws an exception about failing
On Mon, Sep 17, 2012 at 3:40 PM, Travis Oliphant tra...@continuum.iowrote:
On Sep 17, 2012, at 8:42 AM, Benjamin Root wrote:
Consider the following code:
import numpy as np
a = np.array([1, 2, 3, 4, 5], dtype=np.int16)
a *= float(255) / 15
In v1.6.x, this yields:
array([17, 34,
