pyarrow.compute.TDigestOptions#

class pyarrow.compute.TDigestOptions(q=0.5, *, delta=100, buffer_size=500, skip_nulls=True, min_count=0)#

Bases: _TDigestOptions

Options for the tdigest function.

Parameters:

qdouble or sequence of double, default 0.5

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

deltaint, default 100

Compression parameter for the T-digest algorithm.

buffer_sizeint, default 500

Buffer size for the T-digest algorithm.

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, *, delta=100, buffer_size=500, skip_nulls=True, min_count=0)#

Methods

__init__(self[,q,delta,buffer_size,...])
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)#