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        "author": "Yusuke Hayashi",
        "author_email": "yusuke8h@gmail.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: Implementation :: CPython",
            "Programming Language :: Python :: Implementation :: PyPy"
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        "description": "\n# mcmder\nYet Another Wrapper of Nysol M-Command in Python.\n\n\n## Description\n\nHigh-speed processing (CSV) of large-scale structured data tables.\n\nTo know more about Nysol and M-Command, see the official documents.\n\n\n### What is Nysol and M-Command?\n[Nysol Official Page](http://www.nysol.jp/en/home)\n\n[M-Command GitHub](https://github.com/nysol/mcmd)\n\n\n### How fast Nysol is?\n[Nysol Biz Page (Japanese)](http://www.nysol.biz/)\n\n\n## Features\n- Create M-Command easily in python with method chaining. \n- Execute M-Command without putting large data on memory.(csv to csv)\n- Optionally use pandas DataFrame as input and output.\n\n\n## Requirement\n- [nysol/mcmd](https://github.com/nysol/mcmd#installation)\n- [pandas](https://pandas.pydata.org/)\n\n\n## Usage\n\n### From CSV File\nsample.csv\n```\na,b,c\nx,1,4\ny,2,9\nz,3,3\n```\n\n```\n>>> from mcmder import Mcmder\n>>> m = Mcmder('sample.csv')\n>>> mc = m.mcut(['a','c'])\n>>> mc.save('cut.csv')\n```\n\ncut.csv\n```\na,c\nx,4\ny,9\nz,3\n```\n\n```\n>>> mc.dataframe\n   a  c\n0  x  4\n1  y  9\n2  z  3\n```\n\n### From pandas DataFrame\n```\n>>> from mcmder import Mcmder\n>>> import pandas as pd\n>>> import numpy as np\n>>> df = pd.DataFrame(np.random.randn(6,4), columns=list('ABCD'))\n>>> m = Mcmder(df)\n>>> mc = m.mcut(['A','C','D']).msel('${A}>0')\n>>> mc.dataframe\n          A         C         D\n0  0.251857  0.080099 -1.211923\n1  0.100167 -1.824585  0.051611\n2  0.890079  1.440997 -0.298709\n```\n\n## License\n\n[MIT](https://github.com/yhay81/mcmder/blob/master/LICENSE)\n\n\n## Author\n\n[Yusuke Hayashi](https://github.com/yahy81)\n\n\n",
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