In [20]: dt_knobs =
[('pvName',(str,40)),('start','float'),('stop','float'),('mode',(str,10))]
In [21]: r_knobs = np.recarray([],dtype=dt_knobs)
In [22]: r_knobs
Out[22]:
rec.array(('\xa0\x8c\xc9\x02\x00\x00\x00\x00(\xc8v\x02\x00\x00\x00\x00\x00\xd3\x86\x02\x00\x00\x00\x00\x10\xdeJ\x02\x00\x00\x0
subclassing is what I was looking for.
Indeed the code is almost available at
http://docs.scipy.org/doc/numpy/user/basics.subclassing.html#simple-example-adding-an-extra-attribute-to-ndarray
I just created a dictionary variable which I called 'metadata'
I had to overload the __repr__ method to prin
Is there a way to store metadata for an array?
For example, date the samples were collected, name of the operator, etc.
Regards,
--
Emmanuel
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After having saved data, I need to know/remember the data dtype to
restore it correctly.
Is there a way to save the dtype with the data?
(I guess the header parameter of savedata could help, but they are
only available in v2.0+ )
I would like to save several related structured array and a dictiona
Is there a way to save a structured array in a text file?
My problem is not so much in the saving procedure, but rather in the
'reloading' procedure.
See below
In [3]: import numpy as np
In [4]: r = np.ones(3,dtype=[('name', '|S5'), ('foo', ' in ()
> 1 r2 = np.fromfile('toto.txt',sep='\n',dt
