Hello (Pierre?),
I'm trying to work more with structured arrays, which at times seems great,
and at others (due to my lack of familiarity) very frustrating.
Anyway, right now I'm writing a bit of code to read a series of files with
x,y,z data. I'm creating record arrays for each file a read. Once I have
them all read, I just want to load them into one big array. But it doesn't
seem as straight forward as concatenation:
In [102]: type(D); D.shape; D.dtype.names
Out[102]: <class 'numpy.core.records.recarray'>
Out[102]: (3025,)
Out[102]: ('datetime', 'lon', 'lat', 'elv', 'co')
In [103]: type(D2); D2.shape; D2.dtype.names
Out[103]: <class 'numpy.core.records.recarray'>
Out[103]: (3445,)
Out[103]: ('datetime', 'lon', 'lat', 'elv', 'co')
In [104]: C = rf.stack_arrays((D,D2))
In [105]: type(C); C.shape; C.dtype.names
Out[105]: <class 'numpy.ma.core.MaskedArray'>
Out[105]: (6470,)
Out[105]: ('datetime', 'lon', 'lat', 'elv', 'co')
In [106]: C.datetime
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
/xnilu_wrk/flex_wrk/jfb/RESEARCH_ARCTIC/Arctic_CO/<ipython console> in
<module>()
AttributeError: 'MaskedArray' object has no attribute 'datetime'
In [107]: C[0]
Out[107]: (datetime.datetime(2008, 6, 29, 14, 50, tzinfo=<UTC>),
248.83900164808117, 53.949661856137709, -0.31834712473582627,
112.91218844292422)
In [108]:
So it seems I end up with a masked array of the correct length, but it is an
array of tuples and no longer a record array. Am I missing a step?
Thanks,
john
--
View this message in context:
http://old.nabble.com/recfunctions-help-with-concatenating-%28vstack%2C-hstack%2C-etc.%29-tp26686543p26686543.html
Sent from the Numpy-discussion mailing list archive at Nabble.com.
_______________________________________________
NumPy-Discussion mailing list
NumPy-Discussion@scipy.org
http://mail.scipy.org/mailman/listinfo/numpy-discussion
