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    "info": {
        "author": "NRG Systems, Inc.",
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        "description": "# ![NRGPy](https://www.gravatar.com/avatar/6282094b092c756acc9f7552b164edfe?s=24) nrgpy\n\n![pypi](https://img.shields.io/pypi/v/nrgpy)\n\n**nrgpy** is the Python package for processing NRG Data Files\n\n- Website and source: <https://github.com/nrgpy/nrgpy>\n- Documentation: <https://nrgpy.github.io/nrgpy/index.html>\n- Support: support@nrgsystems.com\n\nIt provides tools for:\n\n- Converting binary \".rld\" and \".rwd files to text format\n  - using locally installed SymphoniePRO Desktop Software and Symphonie Data Retriever\n  - using NRG Cloud API (compatible with Linux!) *(SymphoniePRO only at this time)\n- Reading Symphonie text exports into Pandas dataframes\n- Reading Spidar zip/csv files into Pandas dataframes\n- Timestamp adjustment (of text files)\n- Simple quality checks on data\n\n***\n\n## Installation\n\n    pip install nrgpy\n\n## Log and token files\n\nLog files and NRG Cloud token files will be generated when using the app. These files can be found\nin your '''home''' directory:\n\n### Windows\n\n```C:\\Users\\{username}\\.nrgpy\\```\n\n### Linux/Mac\n\n```/home/{username}/.nrgpy/```\n\n## Examples\n\nFor more examples see the Documentation:  <https://nrgpy.github.io/nrgpy/index.html>\n\n### RLD files\n\n#### Convert a folder of RLD files to Text with SymphoniePRO Desktop Software\n\n```python\nimport nrgpy\ndate_filter = '2018-10' # filter on any text in the filenames\ntext_folder_name = 'text_outputs/'\nconverter = nrgpy.local_rld(rld_dir='', out_dir=text_folder_name, file_filter=date_filter)\nconverter.convert()\n```\n\n#### Convert a folder of RLD files to Text with NRG Cloud Convert API\n\n```python\nimport nrgpy\nfile_filter = \"000110\"\nrld_directory = \"rlds\"\nclient_id = \"https://cloud.nrgsystems.com/data-manager/api-setup\"\nclient_secret = \"\"\nconverter = nrgpy.cloud_convert(\n    file_filter=file_filter, \n    rld_dir=rld_directory, \n    client_id=client_id,\n    client_secret=client_secret,\n    start_date=\"2019-11-01\",\n    end_date=\"2019-11-30\",\n)\nconverter.process()\n```\n\n#### Convert a single RLD file to Text with NRG Cloud API\n\n```python\nimport nrgpy\nfilename = \"path/to/rld\"\ntxt_dir = \"path/to/txt/\"\nclient_id = \"https://cloud.nrgsystems.com/data-manager/api-setup\"\nclient_secret = \"\"\nconverter = nrgpy.cloud_convert(\n    filename=filename, \n    client_id=client_id,\n    client_secret=client_secret,\n)\n```\n\n#### Read files\n\n```python\nfile_filter = \"000110\"\nimport nrgpy\n\nreader = nrgpy.sympro_txt_read()\nreader.concat_txt(\n    txt_dir=text_folder_name, \n    file_filter=file_filter, \n    start_date=\"2019-11-01\",\n    end_date=\"2019-11-30\",\n)\n```\n\n### RWD files\n\n#### Convert a folder of RWD files to Text with Symphonie Data Retriever\n\n```python\nimport nrgpy\n\nfile_filter = '0434201902' # for Feb 2019 files from site 0434\nrwd_directory = 'C:/Users/[user]/rwd/'\nout_directory = 'C:/Users/[user]/txt/'\n\nconverter = nrgpy.local_rwd(file_filter=file_filter, rwd_dir=rwd_directory, out_dir=out_directory)\nconverter.convert()\n```\n\n#### Convert a folder of RWD files to Text with Symphonie Data Retriever _on Linux_\n\n```python\nimport nrgpy\n\nrwd_directory = '/home/user/datafiles/rwd'\nout_directory = '/home/user/datafiles/txt'\nwine_directory = '/home/user/prefix32/drive_c/' # path to wine's \"C:\\\" drive\n\n\nconverter = nrgpy.local_rwd(\n                file_filter=file_filter, \n                rwd_dir=rwd_directory, \n                out_dir=out_directory,\n                wine_folder=wine_directory,\n                use_site_file=False # set to True to use site files\n            )\nconverter.convert()\n```\n\nYou can also convert a single file with SDR, and save it in the same directory:\n\n```python\nimport nrgpy\n\nfilename = '/path/to/file'\nconverter = nrgpy.local_rwd(filename=filename)\n```\n\n#### Read TXT files exported from RWD files\n\n```python\nimport nrgpy\n\ndt = 'rwd'\ntxt_file = '/path/to/file.txt'\nreader = nrgpy.read_text_data(data_type=dt, filename=txt_file)\n```\n\nor concatenate a whole lot of files:\n\n```python\ndt = 'rwd'\ntxt_dir = '/path/to/text/files'\nfile_filter = 'text_in_filenames_you_want'\nreader = nrgpy.read_text_data(data_type=dt, txt_dir=txt_dir, file_filter=file_filter)\nreader.concat()\n```\n\n### Spidar files\n\nSpidar Vertical Profiler remote sensors generate archived csv data files in a Zip format.\n\nThese can be read directly into the spidar_txt_read method. See the docstring in\nspidar_txt.py for more information.\n\nEg.\n\n``` python\nIn [1]: import nrgpy\n\nIn [2]: fname = \"/spidar/1922AG7777_CAG70-SPPP-LPPP_NRG1_AVGWND_2019-07-07_1.zip\"                            \n\nIn [3]: reader = nrgpy.spidar_data_read(filename=fname)                                                                              \n\nIn [4]: reader.heights                                                                                                         \nOut[4]: [40, 60, 80, 90, 100, 120, 130, 160, 180, 200]\n\nIn [5]: reader.data                                                                                                            \nOut[5]: \n                     pressure[mmHg]  temperature[C]  ...  dir_200_std[Deg]  wind_measure_200_quality[%]\nTimestamp                                            ...                                               \n2019-07-06 23:40:00          749.66           24.13  ...             28.77                           68\n2019-07-06 23:50:00          749.63           24.08  ...             14.31                            0\n2019-07-07 00:00:00          749.64           23.99  ...             20.59                            0\n...\n```\n\n\n",
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