pandas.DataFrame.quantile — pandas 0.16.2 documentation (original) (raw)
DataFrame.quantile(q=0.5, axis=0, numeric_only=True)¶
Return values at the given quantile over requested axis, a la numpy.percentile.
| Parameters: | q : float or array-like, default 0.5 (50% quantile) 0 <= q <= 1, the quantile(s) to compute axis : {0, 1, ‘index’, ‘columns’} (default 0) 0 or ‘index’ for row-wise, 1 or ‘columns’ for column-wise |
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| Returns: | quantiles : 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. |
Examples
df = DataFrame(np.array([[1, 1], [2, 10], [3, 100], [4, 100]]), columns=['a', 'b']) df.quantile(.1) a 1.3 b 3.7 dtype: float64 df.quantile([.1, .5]) a b 0.1 1.3 3.7 0.5 2.5 55.0