Giorgio F. Gilestro wrote:
>Hello everyone.
>
>Here I go with my first problem for this ml!
>
>I am reading a long sequence of binary data from a file using a call
>similar to the following
>
>numpy.core.records.fromfile (filename, formats='i2', byteorder='big')
>
>My problem is that this function returns an array of tuples rather
>
>
>than an array of actual values.
>
>
You aren't getting an array of "tuples", but an array of "records."
Each element of a record-array just displays as a tuple.
It sounds like you just want a regular array. If that is the case, I'm
not sure why you are using the records sub-class at all. I'm also not
clear on your use of the byteorder argument. Are you reading big-endian
data on a little-endian machine? If you are always reading an writing
in native format, then you don't need to specify the byte-order.
Once you have an array of records, you can easily view this as another
kind of array. Just use the .view method. This does not copy any data
but just gives you a different way of "looking" at the data.
In your case, a.view('i2') should do it.
Also, numpy.rec
is short for numpy.core.records
-Travis
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