pandas.DataFrame.quantile

Return values at the given quantile over requested axis.

param q

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

Value between 0 <= q <= 1, the quantile(s) to compute.

param axis

{0, 1, ‘index’, ‘columns’} (default 0)

Equals 0 or ‘index’ for row-wise, 1 or ‘columns’ for column-wise.

param numeric_only

bool, default True

If False, the quantile of datetime and timedelta data will be computed as well.

param 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.

New in version 0.18.0.

return

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.

Warning

This feature is currently unsupported by Intel Scalable Dataframe Compiler