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fans = pd.read_csv('/Users/klay6683/data/planet4/season23_catalog/ESP_011351_0945_fans.csv')
blotches = pd.read_csv('/Users/klay6683/data/planet4/season23_catalog/ESP_011351_0945_blotches.csv')
fnotches = pd.read_csv('/Users/klay6683/data/planet4/season23_catalog/ESP_011351_0945_fnotches.csv')


    

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fans.info()


    

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blotches.info()


    

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fnotches.info()


    

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df = df.drop('Unnamed: 0', axis=1)


    

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df.drop_duplicates().info()


    

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from planet4 import io


    

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db = io.DBManager()


    

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img_name = 'ESP_011351_0945'


    

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db.dbname


    

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data = db.get_image_name_markings('ESP_011351_0945')


    

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from planet4 import clustering


    

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cm = clustering.ClusteringManager(db.dbname, scope='hirise')


    

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cm.cluster_image_name(img_name)


    

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len(cm.clustered_fans)


    

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cm.confusion_data


    

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len(cm.final_fans)


    

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len(cm.final_blotches)


    

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len(cm.final_fnotches)


    

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for i,fan in enumerate(cm.clustered_fans):
    if not fan.saved:
        print(i)


    

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type(cm.clustered_fans[0])


    

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