# quantile¶

paddle. quantile ( x, q, axis=None, keepdim=False ) [source]

Compute the quantile of the input along the specified axis.

Parameters
• x (Tensor) – The input Tensor, it’s data type can be float32, float64.

• q (int|float|list) – The q for calculate quantile, which should be in range [0, 1]. If q is a list, each q will be calculated and the first dimension of output is same to the number of `q` .

• axis (int|list, optional) – The axis along which to calculate quantile. `axis` should be int or list of int. `axis` should be in range [-D, D), where D is the dimensions of `x` . If `axis` is less than 0, it works the same way as \(axis + D\). If `axis` is a list, quantile is calculated over all elements of given axises. If `axis` is None, quantile is calculated over all elements of `x`. Default is None.

• keepdim (bool, optional) – Whether to reserve the reduced dimension(s) in the output Tensor. If `keepdim` is True, the dimensions of the output Tensor is the same as `x` except in the reduced dimensions(it is of size 1 in this case). Otherwise, the shape of the output Tensor is squeezed in `axis` . Default is False.

• name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Returns

Tensor, results of quantile along `axis` of `x`. If data type of `x` is float64, data type of results will be float64, otherwise data type will be float32.

Examples

```import paddle

#[[-1.28740597,  0.49533170, -1.00698614],
# [-1.11656201, -1.01010525, -2.23457789]])

y1 = paddle.quantile(x, q=0.5, axis=[0, 1])
# y1 = -1.06333363