Generator' Object Has No Attribute 'data', Problems Loading Some File With Scipy?

Im new with python and I'm triying to load .arff file with python this is what i tried: import arff , numpy as np file1 = open('/Users/user/Desktop/example.arff') dataset = arff.l

Solution 1:

There are two arff's that can be installed, you probably need to install liac-arff, you currently have arff installed which returns a generator from arff.load.

file1 = open('example.arff', "rb")
dataset = arff.load(file1)
print(dataset)
{u'attributes': [(u'width', u'NUMERIC'), (u'height', u'NUMERIC'), (u'color', [u'red', u'green', u'blue', u'yellow', u'black'])], u'relation': u'foo', u'description': u'', u'data': [[5.0, 3.25, u'blue'], [4.5, 3.75, u'green'], [3.0, 4.0, u'red']]}

For the arff you have installed don's pass a file object just load the file directly:

dataset = arff.load('eg.arff')
for row in dataset:
    x = row.color
    print(x)
blue
green
red

Solution 2:

The pypi page for arff shows how to use its load

https://pypi.python.org/pypi/arff/0.9

>>>import arff>>>for row in arff.load('example.arff'):...print(row.hair_color)...print(row[-1])...>>>print(list(arff.load('example.arff')))
[[Row(hair_color='blonde', age=17.2, patno=1),
 Row(hair_color='blue', age=27.2, patno=2),
 Row(hair_color='blue', age=18.2, patno=3)]

Since arff.load is a Python generator, it does not load the file immediately. Rather you have to call it 'iteratively', as in the:

for row in arff.load(...)

wrapping it in list() has the same effect - calling the load repeatedly until it is done.

Solution 3:

As of python 3 it seems like the list(arff.load('...')) method doesn't return attributes with the arff module (0.9) instead use Row._data (private but when it sticks, push):

for row in list(arff.load(fid)):
   print( row._data )

http://pydoc.net/Python/arff/0.9/arff/