# 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.

  Examples

      >>> 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
      array([(5.0, 3.25, 'blue'), (4.5, 3.75, 'green'), (3.0, 4.0, 'red')],
            dtype=[('width', '<f8'), ('height', '<f8'), ('color', '|S6')])
      >>> meta
      Dataset: foo
          width's type is numeric
          height's type is numeric
          color's type is nominal, range is ('red', 'green', 'blue', 'yellow', 'black')

scipy.io.wavfile.WavFileWarning scipy.io.arff.MetaData