bigframes.geopandas.GeoSeries.quantile#

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

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]