[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
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