[Numpy-discussion] printing structured arrays
josef.pktd@gmai...
josef.pktd@gmai...
Mon Mar 8 13:17:43 CST 2010
On Mon, Mar 8, 2010 at 2:04 PM, Skipper Seabold <jsseabold@gmail.com> wrote:
> On Mon, Mar 8, 2010 at 2:01 PM, <josef.pktd@gmail.com> wrote:
>> On Mon, Mar 8, 2010 at 1:55 PM, Tim Michelsen
>> <timmichelsen@gmx-topmail.de> wrote:
>>> Hello,
>>> I am also looking into the convertsion from strcutured arrays to ndarray.
>>>
>>>> I've just started playing with numpy and have noticed that when printing
>>>> a structured array that the output is not nicely formatted. Is there a
>>>> way to make the formatting look the same as it does for an unstructured
>>>> array?
>>>
>>>> Output is:
>>>> ### ndarray
>>>> [[ 1. 2. ]
>>>> [ 3. 4.1]]
>>>> ### structured array
>>>> [(1.0, 2.0) (3.0, 4.0999999999999996)]
>>> How could we make this structured array look like the above shown
>>> ndarray with shape (2, 2)?
>>
>> .view(float) should do it, to created a ndarray view of the structured
>> array data
>>
>
> Plus a reshape. I usually know how many columns I have, so I put in
> axis 1 and leave axis 0 as -1.
>
> In [21]: a.view(float).reshape(-1,2)
> Out[21]:
> array([[ 1. , 2. ],
> [ 3. , 4.1]])
a.view(float).reshape(len(a),-1) #if you don't want to count columns
I obviously haven't done this in a while.
And of course, it only works if all elements of the structured array
have the same type.
Josef
>
> Skipper
> _______________________________________________
> NumPy-Discussion mailing list
> NumPy-Discussion@scipy.org
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
More information about the NumPy-Discussion
mailing list