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# scipy.io.arff.loadarff

`scipy.io.arff.``loadarff`(f)

  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.

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