DataFrame.quantile(self, q=0.5, axis=0, numeric_only=True, interpolation=‘linear’)
Return values at the given quantile over requested axis.
Parameters:
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.
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.
