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Automatically exported from code.google.com/p/arff
What steps will reproduce the problem?
1. Download iris.arff from anywhere
(http://informatique.umons.ac.be/ssi/teaching/dwdm/iris.arff)
2. arff.load('iris.arff')
What is the expected output? What do you see instead?
Expected to load the data. This is the canonical dataset for ML, and an useful
testcase. Please consider including into unittests.
Loader fails on
:273 field_type_text = space_separated[2].strip()
In the file tabs are present in Attributes section. Calling split() with no
arguments would solve this problem.
What version of the product are you using? On what operating system?
Ubuntu 10.04 Linux 64bit, Python 2.7, arff-0.9
Original issue reported on code.google.com by [email protected]
on 24 Jul 2012 at 9:14
The example data from UCI called ionosphere.arff can not be processed by
PyArff, cause this data contains empty line between @data tag and line
with the data. PyArff does not skip this line. It should.
Another problem was with sonar.arff file, which has a parameter called
"class". Cause this field name occurs often, maybe it would be good
approach to perform on-the-fly conversion of 'class' token to e.g.
'class_' ?
Original issue reported on code.google.com by [email protected]
on 7 May 2012 at 6:49
Add support for python decimal type.
Original issue reported on code.google.com by [email protected]
on 9 Apr 2015 at 5:20
Attachments:
Hi,
I recently had the need for loading gzipped arff files and added the following
code to allow file objects (such as those returned by gzip.open) to be directly
parsed.
Here is the patch for arff/__init__.py:
237,240d236
< # Responsibility for closing fobj is left to the caller
< def load_file_object(fobj):
< for item in Reader(fobj):
< yield item
244c240,242
< load_file_object(fhand)
---
> for item in Reader(fhand):
> yield item
>
Original issue reported on code.google.com by [email protected]
on 7 Dec 2013 at 5:40
This patch fixes two issues I experienced with a nominal attribute that uses
quoted strings as options. (It's the glass.arff file from weka's standard data
directory).
- Using shlex to parse the option strings preserves quoted strings
- Stripping names for both types of quotes (Is propably needed somewhere else,
too)
Original issue reported on code.google.com by [email protected]
on 30 Jan 2012 at 11:08
Attachments:
I have a fork of this library at
https://bitbucket.org/sirex/arff
In this fork I implemented these missing features:
* sparse data format support
* ARFF date type support
* missing data marked with question symbol support
* fixed quote handling bug
All features covered with unit tests and tested wit python 2.7 and 3.2.
Original issue reported on code.google.com by [email protected]
on 11 May 2013 at 4:15
What steps will reproduce the problem?
1. import arff
2. for row in arff.load(pathfile):
3. print row[-1]
What is the expected output? What do you see instead?
Expected to print last element on the row. Insted getting error:
File "./findCenter.py", line 11, in <module>
print row[-1]
File "/usr/lib/python2.7/site-packages/arff/__init__.py", line 105, in __getitem__
return self._data[key]
What version of the product are you using? On what operating system?
Python 2.7 over Fedora 17
Please provide any additional information below.
Original issue reported on code.google.com by [email protected]
on 2 May 2013 at 10:32
Request to support the 'hierarchical' attribute type.
Original issue reported on code.google.com by [email protected]
on 12 Jan 2015 at 9:04
When trying to parse an arff file that contains a line like
@attribute class real
like weka/data/cpu.arff from the weka package
the following error occurs:
Traceback (most recent call last):
File "./excercise4.py", line 10, in <module>
for row in arff.load(arff_filename):
File "/home/moschlar/src/ws11-12/DM/practical_2/arff.py", line 162, in load
for item in Reader(fhand):
File "/home/moschlar/src/ws11-12/DM/practical_2/arff.py", line 195, in __iter__
row_parser = _RowParser(fields)
File "/home/moschlar/src/ws11-12/DM/practical_2/arff.py", line 139, in __init__
self.tuple = namedtuple('Row', [f.name for f in fields])
File "/usr/lib/python2.7/collections.py", line 280, in namedtuple
raise ValueError('Type names and field names cannot be a keyword: %r' % name)
ValueError: Type names and field names cannot be a keyword: 'class'
I would suggest renaming the keyword then, but I think that's up to the choice
of the author.
Original issue reported on code.google.com by [email protected]
on 30 Jan 2012 at 11:14
What steps will reproduce the problem?
1. Sparse format is not supported
Refer to http://www.mit.edu/~sav/arff/ for a description of what they support.
Sparse format support would be a nice addition. That mit package is no longer
maintained.
Original issue reported on code.google.com by sshivaji
on 21 Dec 2011 at 12:17
A valid arff files with following line in header won't be parsed because of the
relation name, which contains spaces. Without spaces the file seems to be OK.
@RELATION "notebook usage"
Original issue reported on code.google.com by [email protected]
on 13 Apr 2012 at 7:30
Arff files with following lines won't be parsed:
@ATTRIBUTE description STRING
Should be parsed correctly in the same way as following line is.
@ATTRIBUTE description string
Original issue reported on code.google.com by [email protected]
on 13 Apr 2012 at 7:28
What steps will reproduce the problem?
import arff
for row in arff.load('example.arff'):
print row[-1]
Where this is the example file:
@relation diabetics_data
@attribute hair_color {blonde, black, blue}
@attribute age real
@attribute patno integer
@data
blonde, 17.2, 1
blue, 27.2, 2
blue, 18.2, 3
What is the expected output? What do you see instead?
Should print:
1
2
3
But this is happening:
Traceback (most recent call last):
File "test.py", line 3, in <module>
y = row[-1]
File "/usr/local/lib/python2.7/dist-packages/arff/__init__.py", line 105, in __getitem__
return self._data[key]
KeyError: -1
What version of the product are you using? On what operating system?
arff librry version 0.9
python 2.7
ubuntu 12.04
Original issue reported on code.google.com by [email protected]
on 20 Sep 2012 at 5:32
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