quantile(self, q=0.5, interpolation='linear')

Parameters

q : float or array-like, default 0.5 (50% quantile)

The quantile(s) to compute, which can lie in range: 0 <= q <= 1.

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 :None:None:`j`:

• linear: :None:None:`i + (j - i) * fraction`, where :None:None:`fraction` is the fractional part of the index surrounded by i and :None:None:`j`.

• lower: i.

• higher: :None:None:`j`.

• nearest: i or :None:None:`j` whichever is nearest.

• midpoint: (i + :None:None:`j`) / 2.

Returns

float or Series

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 value at the given quantile.

See Also

core.window.Rolling.quantile

Calculate the rolling quantile.

numpy.percentile

Returns the q-th percentile(s) of the array elements.

Examples

This example is valid syntax, but we were not able to check execution

>>> s = pd.Series([1, 2, 3, 4])
... s.quantile(.5)
2.5

This example is valid syntax, but we were not able to check execution

>>> s.quantile([.25, .5, .75])
0.25    1.75
0.50    2.50
0.75    3.25
dtype: float64

See :

Back References

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pandas.core.window.expanding.Expanding.quantile pandas.core.groupby.groupby.GroupBy.quantile pandas.core.window.rolling.Rolling.quantile

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