pandas.qcut()
pandas.qcut
-
pandas.qcut(x, q, labels=None, retbins=False, precision=3) -
Quantile-based discretization function. Discretize variable into equal-sized buckets based on rank or based on sample quantiles. For example 1000 values for 10 quantiles would produce a Categorical object indicating quantile membership for each data point.
Parameters: x : ndarray or Series
q : integer or array of quantiles
Number of quantiles. 10 for deciles, 4 for quartiles, etc. Alternately array of quantiles, e.g. [0, .25, .5, .75, 1.] for quartiles
labels : array or boolean, default None
Used as labels for the resulting bins.
