mars.dataframe.Series.quantile¶
- Series.quantile(q=0.5, interpolation='linear')¶
Return value at the given quantile.
- 参数
q (float or array-like, default 0.5 (50% quantile)) – 0 <= q <= 1, the quantile(s) to compute.
interpolation ({'linear', 'lower', 'higher', 'midpoint', 'nearest'}) –
This optional parameter specifies the interpolation method to use, when the desired quantile lies between two data points i and j:
linear: i + (j - i) * fraction, where fraction is the fractional part of the index surrounded by i and j.
lower: i.
higher: j.
nearest: i or j whichever is nearest.
midpoint: (i + j) / 2.
- 返回
If
q
is an array or a tensor, a Series will be returned where the index isq
and the values are the quantiles, otherwise a float will be returned.- 返回类型
参见
core.window.Rolling.quantile
,numpy.percentile
实际案例
>>> import mars.dataframe as md >>> s = md.Series([1, 2, 3, 4]) >>> s.quantile(.5).execute() 2.5 >>> s.quantile([.25, .5, .75]).execute() 0.25 1.75 0.50 2.50 0.75 3.25 dtype: float64