cupy.quantile#

cupy.quantile(a, q, axis=None, out=None, overwrite_input=False, method='linear', keepdims=False, *, interpolation=None)[source]#

Computes the q-th quantile of the data along the specified axis.

Parameters:
  • a (cupy.ndarray) – Array for which to compute quantiles.

  • q (float, tuple of floats or cupy.ndarray) – Quantiles to compute in the range between 0 and 1 inclusive.

  • axis (int or tuple of ints) – Along which axis or axes to compute the quantiles. The flattened array is used by default.

  • out (cupy.ndarray) – Output array.

  • overwrite_input (bool) – If True, then allow the input array a to be modified by the intermediate calculations, to save memory. In this case, the contents of the input a after this function completes is undefined.

  • method (str) – Interpolation method when a quantile lies between two data points. linear interpolation is used by default. Supported interpolations are lower, higher, midpoint, nearest and linear.

  • keepdims (bool) – If True, the axis is remained as an axis of size one.

  • interpolation (str) – Deprecated name for the method keyword argument.

Returns:

The quantiles of a, along the axis if specified.

Return type:

cupy.ndarray

See also

numpy.quantile()