# 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