I need to create a PyTables table that has a large number of columns - just over 2000. I get an error when trying to create the table.
I attached a Python script that will reproduce the error. I copied the
initial output from tables.test() below, which shows the versions of all the
libraries on my machine. I also copied the error message.
Any ideas on a cause and a solution? Is there a hard limit on the maximum
number of columns in a table?
Thanks for your help,
Josh Ayers
tables.test() output:
PyTables version: 2.2
HDF5 version: 1.8.5
NumPy version: 1.5.0b2
Numexpr version: 1.3.1 (not using Intel's VML/MKL)
Zlib version: 1.2.3 (in Python interpreter)
BZIP2 version: 1.0.5 (10-Dec-2007)
Blosc version: 1.0 (2010-07-01)
Python version: 2.7 (r27:82525, Jul 4 2010, 09:01:59) [MSC v.1500 32 bit
(Intel)]
Byte-ordering: little
Detected cores: 2
Error message:
Traceback (most recent call last):
File "C:\Documents and Settings\jayers\Desktop\table_creation_error.py",
line 15, in <module>
h.createTable('/','data',dtype)
File "C:\Program Files (x86)\python27\lib\site-packages\tables\file.py",
line 761, in createTable
chunkshape=chunkshape, byteorder=byteorder)
File "C:\Program Files (x86)\python27\lib\site-packages\tables\table.py",
line 592, in __init__
byteorder, _log)
File "C:\Program Files (x86)\python27\lib\site-packages\tables\leaf.py",
line 291, in __init__
super(Leaf, self).__init__(parentNode, name, _log)
File "C:\Program Files (x86)\python27\lib\site-packages\tables\node.py",
line 296, in __init__
self._v_objectID = self._g_create()
File "C:\Program Files (x86)\python27\lib\site-packages\tables\table.py",
line 747, in _g_create
self._v_new_title, self.filters.complib or '', obversion )
File "tableExtension.pyx", line 194, in
tables.tableExtension.Table._createTable (tables\tableExtension.c:2089)
HDF5ExtError: Problems creating the table
table_creation_error.py
Description: Binary data
------------------------------------------------------------------------------ Start uncovering the many advantages of virtual appliances and start using them to simplify application deployment and accelerate your shift to cloud computing. http://p.sf.net/sfu/novell-sfdev2dev
_______________________________________________ Pytables-users mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/pytables-users
