# xarray.IndexVariable.quantile

`IndexVariable.``quantile`(q, dim=None, interpolation='linear', keep_attrs=None)

  Compute the qth quantile of the data along the specified dimension.

  Returns the qth quantiles(s) of the array elements.

  Parameters:

  - q (float in range of [0,1] (or sequence of floats)) – Quantile to compute, which must be between 0 and 1 inclusive.
  - dim (str or sequence of str, optional) – Dimension(s) over which to apply quantile.
  - interpolation ({'linear', 'lower', 'higher', 'midpoint', 'nearest'}) –

    This optional parameter specifies the interpolation method to use when the desired quantile lies between two data points `i < j`:

    > - linear: `i + (j - i) * fraction`, where `fraction` is the fractional part of the index surrounded by `i` and `j`.
    > - lower: `i`.
    > - higher: `j`.
    > - nearest: `i` or `j`, whichever is nearest.
    > - midpoint: `(i + j) / 2`.

  - keep_attrs (bool, optional) – If True, the variable’s attributes (attrs) will be copied from the original object to the new one. If False (default), the new object will be returned without attributes.

  Returns: | quantiles – If q is a single quantile, then the result is a scalar. If multiple percentiles are given, first axis of the result corresponds to the quantile and a quantile dimension is added to the return array. The other dimensions are the dimensions that remain after the reduction of the array.
  Return type: | Variable

  See also

  `numpy.nanquantile()`, `pandas.Series.quantile()`, `Dataset.quantile()`, `DataArray.quantile()`