pandas.DataFrame.quantile — pandas 0.24.0rc1 documentation (original) (raw)

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

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

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

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

numeric_only : bool, default True

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

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.