On Wed, Feb 9, 2011 at 1:24 AM, Friedrich Romstedt
wrote:
> 2011/2/8 Alok Singhal :
>> In [6]: data2 = numpy.zeros((0, 5), 'd')
>> In [7]: mask2 = numpy.zeros(0, 'bool')
>> In [8]: data2[mask2]
>>
>> Traceback (most recent call last):
>>
Hi,
2011/2/8 Alok Singhal :
> Hi,
>
> I have an NxM array, which I am indexing with a 1-d, length N boolean
> array. For example, with a 3x5 array:
>
> In [1]: import numpy
> In [2]: data = numpy.arange(15)
> In [3]: data.shape = 3, 5
>
> Now, I want to select rows 0 and 2, so I can do:
>
> In [4
Hi,
I have an NxM array, which I am indexing with a 1-d, length N boolean
array. For example, with a 3x5 array:
In [1]: import numpy
In [2]: data = numpy.arange(15)
In [3]: data.shape = 3, 5
Now, I want to select rows 0 and 2, so I can do:
In [4]: mask = numpy.array([True, False, True])
In [5]
