def getextrema(self):

        self.load()
        if self.im.bands > 1:
            extrema = []
            for i in range(self.im.bands):
                extrema.append(self.im.getband(i).getextrema())
            return tuple(extrema)
        return self.im.getextrema()

    ##
    # Returns a PyCObject that points to the internal image memory.
    #
    # @return A PyCObject object.
logarithm of probability density function
dataset/ETHPy150Open kleientertainment/ds_mod_tools/pkg/win32/Python27/Lib/site-packages/PIL/Image.py/Image.getextrema--crossover with--dataset/ETHPy150Open statsmodels/statsmodels/statsmodels/sandbox/distributions/mv_normal.py/MVNormal.logpdf