Series.quantile(q=0.5, interpolation='linear')
[source]
Return value at the given quantile, a la numpy.percentile.
Parameters: |
q : float or array-like, default 0.5 (50% quantile) 0 <= q <= 1, the quantile(s) to compute interpolation : {‘linear’, ‘lower’, ‘higher’, ‘midpoint’, ‘nearest’} New in version 0.18.0. This optional parameter specifies the interpolation method to use, when the desired quantile lies between two data points
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Returns: |
quantile : float or Series if |
See also
>>> s = Series([1, 2, 3, 4]) >>> s.quantile(.5) 2.5 >>> s.quantile([.25, .5, .75]) 0.25 1.75 0.50 2.50 0.75 3.25 dtype: float64
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http://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.Series.quantile.html