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scipy.stats.mstats.

# idealfourths

scipy.stats.mstats.idealfourths(data, axis=None)

  Returns an estimate of the lower and upper quartiles.

  Uses the ideal fourths algorithm.

  Parameters:
    dataarray_like

      Input array.

    axisint, optional

      Axis along which the quartiles are estimated. If None, the arrays are flattened.

  Returns:
    idealfourths{list of floats, masked array}

      Returns the two internal values that divide data into four parts using the ideal fourths algorithm either along the flattened array (if axis is None) or along axis of data.