pyarrow.compute.QuantileOptions#

class pyarrow.compute.QuantileOptions(q=0.5, *, interpolation='linear', skip_nulls=True, min_count=0)#

Bases: _QuantileOptions

Options for the quantile function.

Parameters:

qdouble or sequence of double, default 0.5

Probability levels of the quantiles to compute. All values must be in [0, 1].

interpolationstr, default linear

How to break ties between competing data points for a given quantile. Accepted values are:

• linear: compute an interpolation

• lower: always use the smallest of the two data points

• higher: always use the largest of the two data points

• nearest: select the data point that is closest to the quantile

• midpoint: compute the (unweighted) mean of the two data points

skip_nullsbool, default True

Whether to skip (ignore) nulls in the input. If False, any null in the input forces the output to null.

min_countint, default 0

Minimum number of non-null values in the input. If the number of non-null values is below min_count, the output is null.

__init__(self, q=0.5, *, interpolation='linear', skip_nulls=True, min_count=0)#

Methods

__init__(self[,q,interpolation,...])
deserialize(buf)	Deserialize options for a function.
serialize(self)

static deserialize(buf)#

Deserialize options for a function.

Parameters:

bufBuffer

The buffer containing the data to deserialize.

serialize(self)#