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        "author": "Xi Rossi LUO",
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        "description": "=========\ntabletree\n=========\n\n\nPython package for exploring and linking multiple SQL-like tables\n\nDescription\n===========\n\nThis package will link multiple SQL-tables together to facilitate (potentially large-scale) analysis of data from various sources. All tables are implemented using Pandas Data.Frame objects.\n\n\nExamples\n========\n\nIn the following example, 3 tables are linked together via different columns and different data types. They form a tree: sex -> preference -> fruit.  This package  enables finding  the favoriate fruits for 'M' ids by transversing this table tree automatically. \n\n.. code-block:: python\n\n\n    from tabletree import TableNode, TableTree, TableLink\n    import pandas as pd\n\n    tab1_list = list( zip([1,2,3,4], ['M', 'F', 'M', 'F'] ) )\n    tab2_list = list( zip(  [1,2,3,4], ['red', 'green', 'yellow', 'blue'] ) )\n    tab3_list = list( zip(  ['red', 'green', 'yellow', 'blue'], ['apple', 'grape', 'banana', 'berry'] ) )\n    tab1 = pd.DataFrame( tab1_list,   columns = ['tab1_v1', 'tab1_v2'])\n    tab2 = pd.DataFrame( tab2_list,   columns = ['tab2_v1', 'tab2_v2'])\n    tab3 = pd.DataFrame( tab3_list,   columns = ['tab3_v1', 'tab3_v2'])\n    tn1 = TableNode('sex', tab1)\n    tn2 = TableNode('preference', tab2)\n    tn3 = TableNode('fruit', tab3)\n    ttree = TableTree(tn1)\n    ttree.addChildren(tn2, TableLink('tab1_v1', 'tab2_v1'))\n    ttree.addChildren(tn3, TableLink('tab2_v2', 'tab3_v1'))\n    ttree.findMatched('fruit', 'sex', tn1.df.tab1_v2 == 'M')\n    #tab3_v1 tab3_v2\n    #0     red   apple\n    #2  yellow  banana\n\n\n\nNote\n====\n\nGithub: https://github.com/rluo/tabletree",
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