bigframes.pandas.Series.quantile#

Series.quantile(q: float | Sequence[float] = 0.5) → Series | float[source]#

Return value at the given quantile.

Examples:

>>> import bigframes.pandas as bpd
>>> s = bpd.Series([1, 2, 3, 4])
>>> s.quantile(.5)
np.float64(2.5)

>>> s.quantile([.25, .5, .75])
0.25    1.75
0.5      2.5
0.75    3.25
dtype: Float64

Parameters:: q (Union[float, Sequence[float], default 0.5 (50% quantile)) – The quantile(s) to compute, which can lie in range: 0 <= q <= 1.
Returns:: If q is an array, a Series will be returned where the index is q and the values are the quantiles, otherwise a float will be returned.
Return type:: Union[float, bigframes.pandas.Series]