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# pandas.DataFrame.quantile

`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} 0 for row-wise, 1 for column-wise
  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

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