A Wednesday 12 January 2011 16:56:25 Frédéric Bastien escrigué: > Hi, > > I'm trying pytables and I hit a problem: the class > tables.earray.EArray don't support deepcopy.
It does. Use the `copy()` method: http://www.pytables.org/docs/manual/ch04.html#id340646 > I can work around this by manually not doing a deepcopy, but to make > it safe, I need to know if the file was opened in read mode or > write/append. If it is opened in read mode, I suppose that it is safe > to don't do the deepcopy. How can I know if the array is modifiable? You can check this by looking at the `mode` attribute of the file: my_earray._v_file.mode > The other option I see is to create a CArray instead. The problem is > how to create one that don't fit in memory? My file compressed take > 43G. You can also do that if you want (although the EArray venue is recommended). Just create the CArray, and then fill it with data chunks. Something like: my_carray = h5f.createCArray(..., shape=(200,300,500), ...) for i in xrange(my_array.shape[0]): my_carray[i] = mydata_chunk # shape for chunk is (300,500) > The original data is in numpy format in many files. Is ptrepack > usefull for this? Definitely. You can use ptrepack to copy datasets (or hierarchy of datasets) from one to file to another. Hope this helps, -- Francesc Alted ------------------------------------------------------------------------------ Protect Your Site and Customers from Malware Attacks Learn about various malware tactics and how to avoid them. Understand malware threats, the impact they can have on your business, and how you can protect your company and customers by using code signing. http://p.sf.net/sfu/oracle-sfdevnl _______________________________________________ Pytables-users mailing list Pytables-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/pytables-users
