{
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        "author": "sinhrks",
        "author_email": "sinhrks@gmail.com",
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        "description": "japandas\n========\n\n.. image:: https://img.shields.io/pypi/v/japandas.svg\n  :target: https://pypi.python.org/pypi/japandas/\n.. image:: https://readthedocs.org/projects/japandas/badge/?version=latest\n  :target: http://japandas.readthedocs.org/en/latest/\n  :alt: Latest Docs\n.. image:: https://travis-ci.org/sinhrks/japandas.svg?branch=master\n  :target: https://travis-ci.org/sinhrks/japandas\n.. image:: https://codecov.io/gh/sinhrks/japandas/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/sinhrks/japandas\n\nOverview\n~~~~~~~~\n\npandas Japanese extension.\n\npandas \u306e\u65e5\u672c\u8a9e\u62e1\u5f35\u3002\u4ee5\u4e0b\u306e\u6a5f\u80fd\u3092\u63d0\u4f9b\u3059\u308b\u3002\n\n- \u65e5\u672c\u8a9e\u306e\u65e5\u4ed8\u306e\u30d1\u30fc\u30b9\n- \u65e5\u672c\u306e\u795d\u65e5\u30ab\u30ec\u30f3\u30c0\u30fc\u3068\u3001\u305d\u308c\u3092\u5229\u7528\u3057\u305f\u55b6\u696d\u65e5\u8a08\u7b97\n- \u6587\u5b57\u5217\u306e\u5168\u89d2/\u534a\u89d2\u5909\u63db\n- e-Stat \u304b\u3089\u306e\u30c7\u30fc\u30bf\u306e\u53d6\u5f97\n- \u30ed\u30fc\u30bd\u30af\u8db3\u30c1\u30e3\u30fc\u30c8\n\n**\u88dc\u8db3** \u3053\u306e\u30d1\u30c3\u30b1\u30fc\u30b8\u3067\u306f\u3001\"\u65e5\u672c\u56fa\u6709\u306e\u6a5f\u80fd\u3067\u3042\u308a\u672c\u6d41\u306b\u5b9f\u88c5\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u4f4e\u3044\u3082\u306e\", \u3082\u3057\u304f\u306f\"\u305d\u308c\u3089\u306b\u95a2\u4fc2\u3057\u672c\u6d41\u306b\u5b9f\u88c5\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u4f4e\u3044\u3082\u306e\" \u3092\u5b9f\u88c5 / \u30e1\u30f3\u30c6\u30ca\u30f3\u30b9\u3059\u308b\u3002\n\n\n\u30a4\u30f3\u30b9\u30c8\u30fc\u30eb\n~~~~~~~~~~\n\n.. code-block:: sh\n\n    pip install japandas\n\n\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\n~~~~~~~~~~\n\n- \u958b\u767a\u7248: http://japandas.readthedocs.org/en/latest/\n- \u30ea\u30ea\u30fc\u30b9\u7248: http://japandas.readthedocs.org/en/stable/\n\n\u6a5f\u80fd\u6982\u8981\n~~~~~~~\n\n\u65e5\u672c\u8a9e\u306e\u65e5\u4ed8\u306e\u30d1\u30fc\u30b9\n,,,,,,,,,,,,,,,,,\n\n.. code-block:: python\n\n    >>> import japandas as jpd\n    >>> jpd.to_datetime('2014\u5e7411\u670830\u65e5')\n    Timestamp('2014-11-30 00:00:00')\n\n    >>> jpd.to_datetime(['2014\u5e7411\u670830\u65e513\u664225\u5206', '2014\u5e7411\u670830\u65e514\u664238\u5206'])\n    <class 'pandas.tseries.index.DatetimeIndex'>\n    [2014-11-30 13:25:00, 2014-11-30 14:38:00]\n    Length: 2, Freq: None, Timezone: None\n\n    >>> jpd.date_range(start=u'2013\u5e7412\u670801\u65e5', end=u'2014\u5e7412\u670801\u65e5', freq='D')\n    <class 'pandas.tseries.index.DatetimeIndex'>\n    [2013-12-01, ..., 2014-12-01]\n    Length: 366, Freq: D, Timezone: None\n\n\n\u65e5\u672c\u306e\u795d\u65e5\u30ab\u30ec\u30f3\u30c0\u30fc\u3068\u3001\u305d\u308c\u3092\u5229\u7528\u3057\u305f\u55b6\u696d\u65e5\u8a08\u7b97\n,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,\n\n.. code-block:: python\n\n    >>> import pandas as pd\n    >>> import datetime\n\n    >>> calendar = jpd.JapaneseHolidayCalendar()\n    >>> cday = pd.offsets.CDay(calendar=calendar)\n\n    >>> datetime.datetime(2014, 4, 28) + cday\n    # 4/29\u306f\u795d\u65e5(\u662d\u548c\u306e\u65e5)\n    Timestamp('2014-04-30 00:00:00')\n\n    >>> datetime.datetime(2014, 4, 28) - cday\n    # 4/26\u306f\u571f\u66dc\u65e5, 4/27\u306f\u65e5\u66dc\u65e5\n    Timestamp('2014-04-25 00:00:00')\n\n    >>> datetime.datetime(2014, 5, 3) + cday\n    # 5/4\u306f\u65e5\u66dc\u65e5, 5/5\u306f\u795d\u65e5(\u3053\u3069\u3082\u306e\u65e5), 5/6\u306f\u795d\u65e5(\u307f\u3069\u308a\u306e\u65e5/\u632f\u66ff\u4f11\u65e5)\n    Timestamp('2014-05-07 00:00:00')\n\n    >>> datetime.datetime(2014, 5, 3) - cday\n    # 5/3\u306f\u571f\u66dc\u65e5\n    Timestamp('2014-05-02 00:00:00')\n\n    # \u9069\u5f53\u306a\u30c7\u30fc\u30bf\u3092\u4f5c\u6210\n    >>> df = pd.DataFrame(np.random.randn(10, 3),\n    ...                   index=jpd.date_range(u'2014\u5e745\u67081\u65e5', u'2014\u5e745\u670810\u65e5', freq='D'))\n    >>> df\n                       0         1         2\n    2014-05-01  0.762453 -1.418762 -0.150073\n    2014-05-02  0.966500 -0.473888  0.272871\n    2014-05-03  0.473370 -1.282504  0.380449\n    2014-05-04  0.215411  0.220587 -1.088699\n    2014-05-05  0.286348 -1.069165 -1.471871\n    2014-05-06 -0.665438 -0.402046 -1.008051\n    2014-05-07  1.173935  2.080087 -2.279285\n    2014-05-08 -0.957195  0.746798  0.092214\n    2014-05-09 -0.259276 -0.775489  0.572525\n    2014-05-10 -0.910188  0.294136  0.020730\n\n    >>> cday = pd.offsets.CDay(calendar=calendar)\n    >>> indexer = jpd.date_range(u'2014\u5e745\u67081\u65e5', u'2014\u5e745\u670810\u65e5', freq=cday)\n\n    # \u30ab\u30ec\u30f3\u30c0\u30fc\u4e0a \u55b6\u696d\u65e5\u306e\u30ec\u30b3\u30fc\u30c9\u3092\u62bd\u51fa\n    >>> df.ix[indexer]\n                       0         1         2\n    2014-05-01  0.762453 -1.418762 -0.150073\n    2014-05-02  0.966500 -0.473888  0.272871\n    2014-05-07  1.173935  2.080087 -2.279285\n    2014-05-08 -0.957195  0.746798  0.092214\n    2014-05-09 -0.259276 -0.775489  0.572525\n\n\n\u5168\u89d2/\u534a\u89d2\u5909\u63db\n,,,,,,,,,,,\n\n.. code-block:: python\n\n   >>> s = pd.Series([u'\uff71\uff72\uff73\uff74\uff75', u'ABC01', u'DE345'])\n   >>> z = s.str.h2z()\n   >>> z\n   0    \u30a2\u30a4\u30a6\u30a8\u30aa\n   1    \uff21\uff22\uff23\uff10\uff11\n   2    \uff24\uff25\uff13\uff14\uff15\n   dtype: object\n\n   >>> z.str.z2h()\n   0    \uff71\uff72\uff73\uff74\uff75\n   1    ABC01\n   2    DE345\n   dtype: object\n\ne-Stat \u304b\u3089\u306e\u7d71\u8a08\u60c5\u5831\u53d6\u5f97\n,,,,,,,,,,,,,,,,,,,,,,,\n\n.. code-block:: python\n\n    >>> key = \"your application id\"\n    >>> df = jpd.DataReader(\"0000030001\", 'estat', appid=key)\n    >>> df.head()\n                 value \u5168\u56fd\u90fd\u9053\u5e9c\u770c030001 \u5168\u57df\u30fb\u96c6\u4e2d\u306e\u5225030002 \u5e74\u9f62\uff15\u6b73\u968e\u7d1a\uff21030002 \u7537\u5973\uff21030001\n    \u6642\u9593\u8ef8(\u5e74\u6b21)\n    1980\u5e74    117060396           \u5168\u56fd            \u5168\u57df            \u7dcf\u6570      \u7537\u5973\u7dcf\u6570\n    1980\u5e74     89187409         \u5168\u56fd\u5e02\u90e8            \u5168\u57df            \u7dcf\u6570      \u7537\u5973\u7dcf\u6570\n    1980\u5e74     27872987         \u5168\u56fd\u90e1\u90e8            \u5168\u57df            \u7dcf\u6570      \u7537\u5973\u7dcf\u6570\n    1980\u5e74      5575989          \u5317\u6d77\u9053            \u5168\u57df            \u7dcf\u6570      \u7537\u5973\u7dcf\u6570\n    1980\u5e74      1523907          \u9752\u68ee\u770c            \u5168\u57df            \u7dcf\u6570      \u7537\u5973\u7dcf\u6570\n\n\n\u30ed\u30fc\u30bd\u30af\u8db3\u30c1\u30e3\u30fc\u30c8\n,,,,,,,,,,,,,,,,,\n\n.. code-block:: python\n\n    >>> df.plot(kind='ohlc')\n    \u30c1\u30e3\u30fc\u30c8\u7701\u7565\n\n\nLicense\n~~~~~~~\n\nBSD.\n\n\u65e5\u672c\u306e\u795d\u65e5\u30c7\u30fc\u30bf\u30bd\u30fc\u30b9\u3068\u3057\u3066\u4ee5\u4e0b\u3092\u5229\u7528\u3002\n\n- `komagata/holiday_jp <https://github.com/komagata/holiday_jp>`_\n\n  Copyright (c) 2009 Masaki Komagata. See `LICENSE <https://github.com/komagata/holiday_jp/blob/master/LICENSE>`_ for details.\n\n- `holiday_jp <https://github.com/holiday-jp/holiday_jp>`_\n\n  MIT.\n\n\n",
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