Pandas Series: quantile() function

Last update on September 15 2022 12:56:40 (UTC/GMT +8 hours)

Value at the given quantile

The quantile() function is used to get value at the given quantile.

Syntax:

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

Parameters:

Name	Description	Type/Default Value	Required / Optional
q	0 <= q <= 1, the quantile(s) to compute.	float or array-like Default Value: 0.5 (50% quantile)	Required
interpolation	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.	{‘linear’, ‘lower’, ‘higher’, ‘midpoint’, ‘nearest’}	Required

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.

Example:

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series([2, 3, 4, 5])
s.quantile(.5)

Output:

3.5

Python-Pandas Code:

import numpy as np
import pandas as pd
s = pd.Series([2, 3, 4, 5])
s.quantile([.15, .5, .55])

Output:

0.15    2.45
0.50    3.50
0.55    3.65
dtype: float64

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