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De: jmpmega...@yahoo.com
A: pytables-users@lists.sourceforge.net
Data: Dimarts 17:24:15
Hello,
First off, I'm a big fan of pytables, and of HDF5 and some of the tools
built on top of it (ViTables). So thank you for your hard work.
I am reinstalling pytables after having to rebuild my machine, and am
coming up with some sort of version conflict between pytables and the
required imports.
I did binary installs of the following packages:
- numpy-1.4.1
- h5py-1.3.0
- numexpr-1.4.1
- tables-2.2.1
Upon import of tables, I get the error below. Normally I would just
comment out some error checking code until it worked, but when I started
down that route, I got to the the point where subimports were failing,
leading me to believe I have the wrong versions of the packages.
Any pointers to a solution?
Thanks,
jm
C:\Documents and Settings\Administrator>ipython
Python 2.6.5 (r265:79096, Mar 19 2010, 21:48:26) [MSC v.1500 32 bit
(Intel)]
Type "copyright", "credits" or "license" for more information.
IPython 0.10 -- An enhanced Interactive Python.
? -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help -> Python's own help system.
object? -> Details about 'object'. ?object also works, ?? prints
more.
In [1]: import tables
---------------------------------------------------------------------------
AttributeError Traceback (most recent call
last)
C:\Documents and Settings\Administrator\<ipython console> in <module>()
C:\Python26\lib\site-packages\tables\__init__.pyc in <module>()
82 # Import the user classes from the proper modules
83 from tables.exceptions import *
---> 84 from tables.file import File, openFile, copyFile
85 from tables.node import Node
86 from tables.group import Group
C:\Python26\lib\site-packages\tables\file.py in <module>()
45 try:
46 import numexpr
---> 47 if numexpr.__version__ < min_numexpr_version:
48 print \
49 "*Warning*: Numexpr version is lower than recommended: %s < %s"
% \
AttributeError: 'module' object has no attribute '__version__'
In [2]: import numpy
In [3]: print numpy.__version__
------> print(numpy.__version__)
1.4.1
In [4]: import numexpr
In [5]: print numexpr.version.version
------> print(numexpr.version.version)
1.4.1
In [6]:
------------------------------------------------------------------------------
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