poincare_maps.py [63:71]:
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    if not (labels is None):
        df[labels_name] = labels[idx]
        if labels_order is None:
            labels_order = np.unique(labels)        
        if coldict is None:
            coldict = dict(zip(labels_order, col_palette[:len(labels)]))
        sns.scatterplot(x="pm1", y="pm2", hue=labels_name, 
                        hue_order=labels_order,
                        palette=coldict,
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visualize.py [69:77]:
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    if not (labels is None):
        df[labels_name] = labels[idx]
        if labels_order is None:
            labels_order = np.unique(labels)        
        if coldict is None:
            coldict = dict(zip(labels_order, col_palette[:len(labels)]))
        sns.scatterplot(x="pm1", y="pm2", hue=labels_name, 
                        hue_order=labels_order,
                        palette=coldict,
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