> Jerome Esteve wrote:
>> Is there a way to give an integer value to j when using a[i:j:-1] so
>> that the first element of the array can be included in the slice ?
Is this what you are looking for?
In [11]: a = np.arange(10)
In [12]: a[6::-1]
Out[12]: array([6, 5, 4, 3, 2, 1, 0])
I know it's
On Wed, Mar 10, 2010 at 10:19 AM, Warren Weckesser
wrote:
> Warren Weckesser wrote:
>> Jerome Esteve wrote:
>>
>>> Dear all,
>>>
>>> Is there a way to give an integer value to j when using a[i:j:-1] so
>>> that the first element of the array can be included in the slice ?
>>>
>>> I would like to u
Warren Weckesser wrote:
> Jerome Esteve wrote:
>
>> Dear all,
>>
>> Is there a way to give an integer value to j when using a[i:j:-1] so
>> that the first element of the array can be included in the slice ?
>>
>> I would like to use some code like a[i:i-k:-1] to get a slice of
>> length k.
>>
Jerome Esteve wrote:
> Dear all,
>
> Is there a way to give an integer value to j when using a[i:j:-1] so
> that the first element of the array can be included in the slice ?
>
> I would like to use some code like a[i:i-k:-1] to get a slice of
> length k.
>
> The numpy documentation seems to sug
Dear all,
Is there a way to give an integer value to j when using a[i:j:-1] so that the
first element of the array can be included in the slice ?
I would like to use some code like a[i:i-k:-1] to get a slice of length k.
The numpy documentation seems to suggest that j=-1 should work:
"Assume
