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        "author": "Nico Schl\u00f6mer",
        "author_email": "nico.schloemer@gmail.com",
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            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 3",
            "Topic :: Multimedia :: Graphics :: Presentation",
            "Topic :: Scientific/Engineering :: Visualization"
        ],
        "description": "# meterplot\n\n[![CircleCI](https://img.shields.io/circleci/project/github/nschloe/meterplot/master.svg)](https://circleci.com/gh/nschloe/meterplot/tree/master)\n[![codecov](https://codecov.io/gh/nschloe/meterplot/branch/master/graph/badge.svg)](https://codecov.io/gh/nschloe/meterplot)\n[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/ambv/black)\n[![PyPi Version](https://img.shields.io/pypi/v/meterplot.svg)](https://pypi.org/project/meterplot)\n[![GitHub stars](https://img.shields.io/github/stars/nschloe/meterplot.svg?logo=github&label=Stars)](https://github.com/nschloe/meterplot)\n\nThis little script takes a number of energy measurements (e.g., from your\nelectricity meter or old power bills) and displays the consumption over time.\nWorks for electricity and water readings.\n\nFor example, with the data file\n```yaml\n# electricity data\n---\nunit: kWh\ngroups:\n  - style:\n      color: '#2ca02c'\n    meters:\n      - data:\n          - date: 2016-01-01T00:00:00+00:00\n            value: 1000\n          - date: 2016-02-01T00:00:00+00:00\n            value: 1200\n          - date: 2016-04-01T00:00:00+00:00\n            value: 2000\n          - date: 2016-07-01T00:00:00+00:00\n            value: 3500\n          - date: 2016-10-01T00:00:00+00:00\n            value: 4000\n```\nyou'll get\n```\nmeterplot electricity.yml\n```\n\n![](https://nschloe.github.io/meterplot/electricity.png)\n\nInput of water data is equally easy (here for warm and cold water, with a meter\nchange)\n```yaml\n# Water data\n---\nunit: m^3\n\ngroups:\n  # warm\n  - style:\n      color: '#d62728'\n    meters:\n      - data:\n          - date: 2013-01-01T00:00:00+00:00\n            value: 0.0\n          - date: 2013-07-01T00:00:00+00:00\n            value: 16.6\n          - date: 2014-01-01T00:00:00+00:00\n            value: 30.0\n      - data:\n          - date: 2014-01-01T00:00:00+00:00\n            value: 0.0\n          - date: 2014-07-01T00:00:00+00:00\n            value: 15.2\n          - date: 2015-01-01T00:00:00+00:00\n            value: 25.1\n\n  # cold\n  - style:\n      color: '#1f77b4'\n    meters:\n      - data:\n          - date: 2013-01-01T00:00:00+00:00\n            value: 0.0\n          - date: 2013-04-01T00:00:00+00:00\n            value: 4.0\n          - date: 2014-07-01T00:00:00+00:00\n            value: 23.0\n          - date: 2015-01-01T00:00:00+00:00\n            value: 35.1\n```\n```\nmeterplot electricity.yml\n```\n\n![](https://nschloe.github.io/meterplot/water.png)\n\n### Installation\n\nmeterplot is [available from the Python Package Index](https://pypi.org/project/meterplot/), so with\n```\npip install -U meterplot\n```\nyou can install/upgrade.\n\n### Distribution\n\nTo create a new release\n\n1. bump the `__version__` number,\n\n2. publish to PyPi and GitHub:\n    ```\n    $ make publish\n    ```\n\n\n### License\n\nmeterplot is published under the [MIT license](https://en.wikipedia.org/wiki/MIT_License).\n\n\n",
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