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        "author": "tpchris1",
        "author_email": "topchrischang@hotmail.com",
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        "classifiers": [
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        "description": "# deepeye_pack\r\n\r\n## Update - 2018/10/22 v0.0.2\r\n1. read_csv_handld_changedate revise to pandas method\r\n2. both the import methods require **Mandatory** table_info to specify the table \r\n3. mysql_handle now change to pandas dataframe verison\r\n4. from_mysql also changes to para-method, pass port/user/db... instead of query and MySQLdb conn\r\n\r\n\r\n## Description\r\n1. This is a Python package for DeepEye API,can easily visualize data without too much effort. And provide with really simple usage\r\n2. the DeepEye system: https://github.com/TsinghuaDatabaseGroup/DeepEye/tree/master/APIs_Deepeye\r\n\r\n## Installation\r\n1. Python 2.7\r\n2. MySQL 5.7\r\n3. Packages\r\n    1. mysqldb binary packages for windows: link1:https://www.lfd.uci.edu/~gohlke/pythonlibs/ <br>link2:https://sourceforge.net/projects/mysql-python/\r\n        - Download 'MySQL-python' and choose the right version for it \r\n        - Install the .whl by wheel install\r\n        - there is a back up version in this repository under 'mysqldb' folder \r\n    2. numpy(latest version)\r\n    3. pandas(latest version) above ver 0.23.0\r\n\r\n## Usage\r\n1. Initial\r\n    1. example code:\r\n    ```py\r\n    import deepeye_pack\r\n\r\n    #create a deepeye_pack class that wraps everything\r\n    dp = deepeye_pack.deepeye('demo') # the name here doesnt actually matter\r\n\r\n    # then user needs to input table info\r\n    # as in table_info(table_name,column_names,column_types)\r\n    dp.table_info('electricity',['city','date','electricity(kWh)'],['varchar','date','float'])\r\n    ```\r\n    2. the column_types that supported by deepeye_pack are specified as below:\r\n        1. numerical: `int`, `float`, `double`\r\n        2. temporal: `date`, `datetime`, `year`\r\n        3. categorical: `char`, `varchar`\r\n2. Import\r\n    1. from_mysql()\r\n        ```py\r\n        # call the from_mysql() function\r\n        dp.from_mysql(host='localhost',port=3306,user='root',passwd='ppww',db='deepeye', query='SELECT * FROM `table_name`')\r\n\r\n        ```\r\n    2. from_csv()\r\n        ```py\r\n        path = \"file.csv\" # the path where the file located\r\n        dp.from_csv(path)\r\n        ```\r\n3. Visualization\r\n    ```py\r\n    # choose one from three\r\n    dp.learning_to_rank()\r\n    dp.partial_order()\r\n    dp.diversified_ranking()\r\n    ```\r\n4. Output\r\n    ```py\r\n    # can use several different methods at the same time\r\n    dp.to_print_out()\r\n    dp.to_single_json()\r\n    dp.to_multiple_jsons()\r\n    dp.to_multiple_htmls()\r\n    dp.to_single_html()\r\n    ```\r\n\r\n\r\n",
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        "license": "MIT",
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        "name": "deepeye-pack",
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        "summary": "a Python package for DeepEye:Towards automatic Data Visualization API",
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