@staticmethod   
    def histogram(v): 
        if v.ndim != 1: 
            raise ValueError("Input must be a dimension 1 vector")
        
        uniqElements = numpy.unique(v)
        numElements = uniqElements.shape[0]
        hist = numpy.zeros(numElements)
        
        for i in range(0, numElements): 
            hist[i] = sum(v == uniqElements[i])

        return (hist, uniqElements)
First digit seems to be in steps of 1/6 EV.
dataset/ETHPy150Open charanpald/APGL/apgl/util/Util.py/Util.histogram--crossover with--dataset/ETHPy150Open ianare/exif-py/exifread/tags/makernote/nikon.py/ev_bias