scipy.io.arff.loadarff¶
- scipy.io.arff.loadarff(f)[source]¶
Read an arff file.
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]
Parameters: f : file-like or str
File-like object to read from, or filename to open.
Returns: data : record array
The data of the arff file, accessible by attribute names.
meta : MetaData
Contains information about the arff file such as name and type of attributes, the relation (name of the dataset), etc...
Raises: `ParseArffError`
This is raised if the given file is not ARFF-formatted.
NotImplementedError
The ARFF file has an attribute which is not supported yet.
Notes
This function should be able to read most arff files. Not implemented functionality include:
- date type attributes
- string type attributes
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.