Pandas DataFrame: quantile() function

Last update on August 19 2022 21:50:33 (UTC/GMT +8 hours)

DataFrame - quantile() function

The quantile() function is used to get values at the given quantile over requested axis.

Syntax:

DataFrame.quantile(self, q=0.5, axis=0, numeric_only=True, interpolation='linear')

Parameters:

Name	Description	Type/Default Value	Required / Optional
q	Value between 0 <= q <= 1, the quantile(s) to compute.	float or array-like Default Value: 0.5 (50% quantile)	Required
axis	Equals 0 or ‘index’ for row-wise, 1 or ‘columns’ for column-wise.	{0, 1, ‘index’, ‘columns’} Default Value: 0	Required
numeric_only	If False, the quantile of datetime and timedelta data will be computed as well.	bool Default Value: True	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: Series or DataFrame
If q is an array, a DataFrame will be returned where the index is q, the columns are the columns of self, and the values are the quantiles.
If q is a float, a Series will be returned where the index is the columns of self and the values are the quantiles.

Example:

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