# 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
    data array_like

      Input array.

    axis int, 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.

scipy.stats.mstats.hdquantiles_sd scipy.stats.mstats.plotting_positions