distribution.py 文件源码

def from_values(cls, x, y, weights=None, nbins=200, x_name=None, y_name=None):

        """
        This function ...
        :param x:
        :param y:
        :param weights:
        :param nbins:
        :param x_name:
        :param y_name:
        :return:
        """

        #rBins_F, FBins_r = getRadBins(x, y, 1, weights)
        #rBins_F[rBins_F > 25] = np.nan

        rBins_F = None
        FBins_r = None

        #print("rBins_F", rBins_F)
        #print("FBins_r", FBins_r)

        # Estimate the 2D histogram
        H, xedges, yedges = np.histogram2d(x, y, bins=nbins, normed=True, weights=weights)

        # H needs to be rotated and flipped
        H = np.rot90(H)
        H = np.flipud(H)

        # Mask zeros
        Hmasked = np.ma.masked_where(H == 0, H)  # Mask pixels with a value of zero

        return cls(Hmasked, xedges, yedges, rBins_F, FBins_r, x_name, y_name)

    # -----------------------------------------------------------------