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    "info": {
        "author": "Alex Piskun",
        "author_email": "piskun.aleksey@gmail.com",
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        "description": "# Statnett API Client\n\nClient presents methods for reading real-time Nordic power balance data provided \nby the Norwegian Transmission System Operator ([statnett.no](https://www.statnett.no/)). \n\nThe full list of topics accessible via Statnett REST API can be seen [here](http://driftsdata.statnett.no/restapi).\n\nClient supports reading of the following topics:\n\n* [Nordic Power Balance](https://www.statnett.no/en/for-stakeholders-in-the-power-industry/data-from-the-power-system/#nordic-power-balance)\n* [Nordic Power Flow](https://www.statnett.no/en/for-stakeholders-in-the-power-industry/data-from-the-power-system/#nordic-power-flow)\n* [Grid Frequency](https://www.statnett.no/en/for-stakeholders-in-the-power-industry/data-from-the-power-system/#nordic-power-balance)\n\n## Installation\n\nTo install the Client, simply use pip:\n\n```\n$ pip install statnett_api_client\n``` \n\n## Basic Usage\n\n```python\nfrom statnett_api_client import get_flow, get_balance, get_frequency\n\n# read power flow  \nflow = get_flow(fmt='pandas')\n\n# read balance data\nbalance = get_balance(fmt='pandas')\n\n# read grid frequency\nfreq = get_frequency(fmt='pandas')\n```\n\n## Getting topics in a loop\n\nYou can use `get_topic` method for iterating over different topics. \n\n```python\nfrom statnett_api_client import get_topic\n\nfor topic in ['flow', 'balance', 'frequency']:\n    data = get_topic(topic, fmt='pandas')\n```\n\n## Parameters\n\nYou can specify format of returned object using `fmt` parameter.  \n\n```python\n# this will return flow in json format \nflow = get_flow(fmt='json')\n# this will return pandas dataframe\nflow = get_flow(fmt='pandas')\n```\n\nSpecify `date2index` if you want to add dates to dataframe index.\n\n```python\nbalance = get_balance(fmt='pandas', date2index=True)\n```\n\nBy default, the time is in UTC. To add a column with Central European Time (CET), \nyou need to specify `time_cet` parameter.\n\n```python\nfreq = get_frequency(fmt='pandas', date2index=True, time_cet=True)\n```\n\nSometimes it can be useful to add `hour` column to result dataframe. It can be achieved by \nspecifying `add_hour` parameter. If `time_cet` is True, then two columns are added, \n`hour_utc` and `hour_cet`.   \n\n```python\nflow = get_flow(fmt='pandas', time_cet=True, add_hour=True)\n```\n\nTo get frequency data for time period, you need to scecify `date_from` parameter. Supports only for \n`frequency` topic.\n\n```python\nfreq = get_frequency(fmt='pandas', date_from='2019-06-07 21:30')\n```\n\n## License\n\nThe Client is released under [MIT License](https://github.com/viktorsapozhok/statnett-api-client/blob/master/LICENSE). \n\n\n",
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