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:
- q
double
or sequence ofdouble
, default 0.5 Probability levels of the quantiles to compute. All values must be in [0, 1].
- interpolation
str
, 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_count
int
, 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.
- q
- __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:
- buf
Buffer
The buffer containing the data to deserialize.
- buf
- serialize(self)#