Hi,
I tried to build pytables 2.2 on an x86-64bit (amd64) debian machine.
but received the following build errors (below)
I then successfully built 2.1.2 with no issues (and passes all tests)
Jeff
* Found numpy 1.5.0b1 package installed.
* Found numexpr 1.4 package installed.
* Found
Hi,
using the configuration:
pytables 2.3.1
numexpr 1.4.1
python 2.7.1 (on adm64 debian and win64)
using a readWhere to select rows from a table, if I give a selector with
multiple operands on the index column (e.g. (column value) ( column
value2))
doesn't seem to work (though works
thanks
created
https://github.com/PyTables/PyTables/issues/198
I can be reached on my cell (917)971-6387
From: Anthony Scopatz scop...@gmail.com
To: Jeff Reback j...@reback.net; Discussion list for PyTables
pytables-users@lists.sourceforge.net
Sent
It seems there is a limit to the condition sytax when using readWhere
I get various exceptions when passing increasing number of terms
is this some kind of hard coded limit?
is there a way to pre-compile this and test for it? (e.g. when I am actually
creating the condition)
- my
anthony,
I can be reached on my cell (917)971-6387--
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anthony,
where am I going wrong here?
#!/usr/local/bin/python3
import tables
import numpy as np
import datetime, time
encoding = 'UTF-8'
test_file = 'test_select.h5'
handle = tables.openFile(test_file, w)
node = handle.createGroup(handle.root, 'test')
table = handle.createTable(node, 'table',
)
*** TypeError: string argument without an encoding
(Pdb) handle.root.test.table.readWhere(selector.encode(encoding))
*** TypeError: string argument without an encoding
(Pdb)
From: Anthony Scopatz scop...@gmail.com
To: Jeff Reback j...@reback.net; Discussion list
/PyTables/issues/265
I can be reached on my cell (917)971-6387
From: Anthony Scopatz scop...@gmail.com
To: Jeff Reback j...@reback.net
Cc: Discussion list for PyTables pytables-users@lists.sourceforge.net
Sent: Tuesday, June 4, 2013 6:39 PM
Subject: Re
Here is a pandas solution for doing just this (which uses PyTables under the
hood):
# create a frame
In [45]: df = DataFrame(randn(1000,2),index=date_range('2101',periods=1000))
In [53]: df
Out[53]:
class 'pandas.core.frame.DataFrame'
DatetimeIndex: 1000 entries, 2000-01-01 00:00:00 to
