Module Import alias identifier FunctionDef arguments args defaults body Expr Str Assign NameStore Call AttributeLoad NameLoad attr ListLoad ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num ListLoad Num Num Assign NameStore Call AttributeLoad NameLoad attr ListLoad Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Num Return TupleLoad NameLoad NameLoad decorator_list
N/A N/A numpy np three_blobs_data N/A N/A N/A N/A N/A A random dataset of 3 2D blobs for clustering.

    Number of samples : 150
    Suggested labels : {0, 1, 2}, distribution: [50, 50, 50]

    Returns
    --------
    X, y : [n_samples, n_features], [n_cluster_labels]
        X is the feature matrix with 159 samples as rows
        and 2 feature columns.
        y is a 1-dimensional array of the 3 suggested cluster labels 0, 1, 2

     N/A X N/A N/A np array N/A N/A 2.60509732 1.22529553 N/A 0.5323772 3.31338909 N/A 0.802314 4.38196181 N/A 0.5285368 4.49723858 N/A 2.61858548 0.35769791 N/A 1.59141542 4.90497725 N/A 1.74265969 5.03846671 N/A 2.37533328 0.08918564 N/A -2.12133364 2.66447408 N/A 1.72039618 5.25173192 N/A 3.1368855 1.56592763 N/A -0.37494566 2.38787435 N/A -1.84562253 2.71924635 N/A 0.72144399 4.08475018 N/A 0.16117091 4.53517846 N/A -1.99912714 2.71285741 N/A -1.47804153 3.2093591 N/A 1.8706766 0.77797407 N/A -1.5933443 2.76898682 N/A 2.03562611 0.31361691 N/A 0.64003985 4.12401075 N/A 2.4411628 1.30941574 N/A 1.13280393 3.87673946 N/A 1.04829186 5.03092408 N/A -1.26637157 2.62998828 N/A 2.31690585 0.81189049 N/A 2.36230721 1.358767 N/A 1.2091013 3.53566548 N/A -2.54224625 3.95012869 N/A 1.4815332 0.67875364 N/A -1.59487886 3.48632794 N/A -1.82556205 2.7989214 N/A -1.13374003 2.68467271 N/A -1.758702 3.158623 N/A 0.3498724 4.69253251 N/A 1.68548602 1.66917096 N/A 2.989047 1.35068599 N/A 1.73734448 1.23588031 N/A 0.65910903 4.12241674 N/A 1.15445328 4.65707391 N/A -1.32738084 1.53158588 N/A -1.6814105 2.07988036 N/A 0.34102758 4.78848568 N/A 1.87827057 0.21018801 N/A 2.13860427 1.21517938 N/A 2.48368283 0.57215086 N/A -1.18113464 3.26525683 N/A 2.11114739 3.57660449 N/A -1.19371247 2.68752237 N/A 1.45131429 4.22810872 N/A 1.83769075 1.82229552 N/A 0.44089377 4.83101319 N/A 1.08040757 4.79210685 N/A 1.84845803 0.52393625 N/A 2.3914149 1.10139458 N/A -1.44865074 3.03397278 N/A 0.72086751 3.71347124 N/A 3.01673853 1.63792106 N/A -1.18199493 3.56880538 N/A 1.34081536 4.36827878 N/A -2.31837321 3.22307195 N/A -0.54894786 3.11292892 N/A -1.6823471 2.96658234 N/A -1.53541422 3.10745813 N/A 1.06498315 4.10289686 N/A -0.39724954 2.89675369 N/A 1.03972612 4.50478201 N/A 1.62465468 1.85269614 N/A -0.30022483 4.63059663 N/A 0.12313498 5.27917503 N/A 1.54597042 3.68637442 N/A 1.44254976 1.31984515 N/A 2.52889351 0.82015861 N/A 0.38970838 5.27559792 N/A 1.5381461 1.23846092 N/A 0.82049381 4.33187 N/A 1.56565986 4.21382491 N/A -1.93358614 2.1846701 N/A -1.38373217 3.22230418 N/A 0.96217896 4.51795326 N/A 1.71810119 0.91357894 N/A 1.65356269 0.55288877 N/A 0.4519936 3.59377836 N/A 1.19820169 4.47062449 N/A 2.20438661 1.56085661 N/A 3.24683991 1.3699034 N/A 2.51569693 1.05702749 N/A -1.79833475 3.12590728 N/A -2.0495307 3.52345491 N/A 2.36788325 0.09663483 N/A 2.24348029 0.34796326 N/A 0.99914934 4.2101954 N/A 1.30963873 1.11735951 N/A 0.77468161 4.91500986 N/A 1.70798359 0.82284639 N/A 1.91784543 3.6299078 N/A -2.00487651 2.74489137 N/A -2.10499523 3.30848131 N/A 1.39731382 0.66687136 N/A 2.02114672 1.75433502 N/A 1.67030948 1.16728826 N/A 2.52997792 0.94143928 N/A -2.18016744 3.7469476 N/A 2.00604126 0.56592452 N/A 1.50307585 0.9237462 N/A 1.05374379 4.49286859 N/A -1.72662853 3.10291021 N/A 1.72330962 4.2012082 N/A 0.92466065 4.50908658 N/A 0.39369516 4.75420057 N/A -1.31377465 3.25633628 N/A 0.78260667 4.15263595 N/A 1.82750127 0.90640324 N/A -1.2649585 2.9620933 N/A 0.98152009 5.19672257 N/A -2.49504392 3.01227156 N/A 1.00952869 4.45502328 N/A 1.40848818 3.93270482 N/A -1.28003312 2.85983029 N/A -1.82506103 2.89159861 N/A 0.5408715 4.0143625 N/A 2.64928242 1.05613497 N/A 0.5226209 4.32976003 N/A 0.16932115 4.19741719 N/A 1.8062513 1.86242969 N/A 1.92126584 1.29889186 N/A -1.53906708 2.54886681 N/A 1.68289011 0.48444439 N/A -2.29730252 2.94951326 N/A -1.45592743 2.75821805 N/A -1.38694171 2.86880707 N/A -1.07181456 3.07649137 N/A 1.40883907 1.03118909 N/A -1.58598604 2.57779316 N/A -1.58217434 3.42796862 N/A -0.77966174 1.88288975 N/A 0.56969694 3.44064603 N/A -1.8531083 2.72240557 N/A 1.59885641 1.4561718 N/A -1.84094779 2.6773687 N/A 1.35678894 4.36462484 N/A 1.1774409 3.96138228 N/A 1.73345832 -0.21403792 N/A 2.34356293 0.79351428 N/A -0.95073823 3.45769156 N/A -2.23893447 2.67122232 N/A -1.87292894 3.68607079 N/A -1.8897027 2.22620028 N/A 2.25327088 0.35113291 N/A 1.55515985 0.12527811 N/A y N/A N/A np array N/A 1 2 2 2 1 2 2 1 0 2 1 0 0 2 2 0 0 1 0 1 2 1 2 2 0 1 1 2 0 1 0 0 0 0 2 1 1 1 2 2 0 0 2 1 1 1 0 2 0 2 1 2 2 1 1 0 2 1 0 2 0 0 0 0 2 0 2 1 2 2 2 1 1 2 1 2 2 0 0 2 1 1 2 2 1 1 1 0 0 1 1 2 1 2 1 2 0 0 1 1 1 1 0 1 1 2 0 2 2 2 0 2 1 0 2 0 2 2 0 0 2 1 2 2 1 1 0 1 0 0 0 0 1 0 0 0 2 0 1 0 2 2 1 1 0 0 0 0 1 1 N/A N/A X y N/A