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    "info": {
        "author": "Tobias Frei",
        "author_email": "shuntingard@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3 :: Only",
            "Topic :: Internet :: Log Analysis",
            "Topic :: System :: Networking",
            "Topic :: System :: Networking :: Monitoring"
        ],
        "description": "speedtest_reader\n================\n\nLibrary to read, buffer and time-slice output generated by\n`speedtest-cli <https://github.com/sivel/speedtest-cli>`_\n\n.. image:: https://img.shields.io/pypi/v/speedtest-reader.svg\n        :target: https://pypi.org/project/speedtest-reader/\n        :alt: Latest Version\n.. image:: https://img.shields.io/travis/shuntingyard/speedtest-reader.svg\n        :target: https://travis-ci.com/shuntingyard/speedtest_reader/\n        :alt: Travis\n.. image:: https://img.shields.io/pypi/l/speedtest-reader.svg\n        :target: https://github.com/shuntingyard/speedtest_reader/blob/master/LICENSE.txt\n        :alt: License\n\nVersions\n--------\n\nspeedtest_reader works with Python 3\n\n.. image:: https://img.shields.io/pypi/pyversions/speedtest-reader.svg\n        :target: https://pypi.org/project/speedtest-reader/\n        :alt: Versions\n\nRecent changes\n--------------\n\n- Complete API redesign (see Python API below)\n\nInstallation\n------------\n\npip / easy\\_install\n~~~~~~~~~~~~~~~~~~~\n\n::\n\n    pip install speedtest_reader\n\nor\n\n::\n\n    easy_install speedtest_reader\n\nGithub\n~~~~~~\n\n::\n\n    pip install git+https://github.com/shuntingyard/speedtest_reader.git\n\nor\n\n::\n\n    git clone https://github.com/shuntingyard/speedtest_reader.git\n    cd speedtest_reader\n    python setup.py install\n\n.. _API:\n\nPython API\n----------\n\n.. code:: python\n\n   from speedtest_reader import format_timestamps, Reader, util\n\n   sensor1 = Reader(\"~/speedtest.csv\")\n\n\n   @util.to_Mbit\n   def slice_s1(**kwargs):\n       start, end = format_timestamps(**kwargs)\n       return sensor1.copy_df(start, end)\n\n\n   # Test API setup\n   print(slice_s1(start=\"2019-06-01\"))\n   print(slice_s1(start=\"July 1\", end=\"July 3\"))\n   print(slice_s1(start=\"yesterday\"))\n\nExample section\n---------------\n\nplotly\n~~~~~~\n\n.. code:: python\n\n   import plotly\n   import plotly.graph_objs as go\n   from speedtest_reader import format_timestamps, Reader, util\n\n   sensor1 = Reader(\"~/speedtest.csv\")\n\n\n   @util.append_tslocal()\n   def slice_s1(**kwargs):\n       start, end = format_timestamps(**kwargs)\n       return sensor1.copy_df(start, end)\n\n\n   # minimal line- and scatterplot example\n   df = slice_s1()\n   graph = dict(\n       data=[\n           go.Scatter(\n               x=df[\"tslocal\"], y=df[\"Download\"], mode=\"lines\", connectgaps=False\n           ),\n           go.Scatter(x=df[\"tslocal\"], y=df[\"Upload\"], mode=\"markers\"),\n       ]\n   )\n   plotly.offline.plot(graph)\n\nseaborn\n~~~~~~~\n\n.. code:: python\n\n   import matplotlib.pyplot as plt\n   import seaborn as sns\n   from speedtest_reader import format_timestamps, Reader, util\n\n   sensor1 = Reader(\"~/speedtest.csv\")\n\n\n   @util.to_Mbit\n   @util.append_mpldate(colname=\"date2num\")\n   def slice_s1(**kwargs):\n       start, end = format_timestamps(**kwargs)\n       return sensor1.copy_df(start, end)\n\n\n   # minimal scatterplot example\n   ts = slice_s1()[\"date2num\"]\n   dl = slice_s1()[\"Download\"]\n   _, ax = plt.subplots()\n   sns.scatterplot(ts, dl)\n   ax.xaxis_date()\n   plt.show()\n\ntimezone config\n~~~~~~~~~~~~~~~\n\n.. code:: python\n\n   from speedtest_reader import format_timestamps, Reader, util\n\n   sensor1 = Reader(\"~/speedtest.csv\")\n\n\n   @util.append_tslocal(tz=\"EST\")  # zone for local timestamp to append\n   def slice_EST(**kwargs):\n       kwargs[\"tz\"] = \"EST\"  # zone to use for slicing\n       start, end = format_timestamps(**kwargs)\n       return sensor1.copy_df(start, end)\n\n\n   # use local timezone (selected by module 'tzlocal')\n   @util.append_tslocal()\n   def slice_local(**kwargs):\n       start, end = format_timestamps(**kwargs)\n       return sensor1.copy_df(start, end)\n\n\n   # test configured- and local timezone setup\n   print(slice_EST(start=\"yesterday\"))\n   print(slice_local(start=\"yesterday\"))\n\nChangelog\n---------\n\nVersion 0.0.4\n~~~~~~~~~~~~~\n\n- Complete API redesign",
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