loadarff(f)
The data is returned as a record array, which can be accessed much like a dictionary of NumPy arrays. For example, if one of the attributes is called 'pressure', then its first 10 data points can be accessed from the data record array like so: data['pressure'][0:10]
This function should be able to read most arff files. Not implemented functionality include:
It can read files with numeric and nominal attributes. It cannot read files with sparse data ({} in the file). However, this function can read files with missing data (? in the file), representing the data points as NaNs.
File-like object to read from, or filename to open.
This is raised if the given file is not ARFF-formatted.
The ARFF file has an attribute which is not supported yet.
The data of the arff file, accessible by attribute names.
Contains information about the arff file such as name and type of attributes, the relation (name of the dataset), etc.
Read an arff file.
from scipy.io import arff
from io import StringIO
content = """
@relation foo
@attribute width numeric
@attribute height numeric
@attribute color {red,green,blue,yellow,black}
@data
5.0,3.25,blue
4.5,3.75,green
3.0,4.00,red
"""
f = StringIO(content)
data, meta = arff.loadarff(f)
data
meta
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