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        "author": "Keith Lyons",
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        "description": "# pandas-npi\nNPI validation made easy with Pandas\n\n# Installation\npip install pandas-npi\n\n# Basic Usage\n\n### Update definitions\n\n    import pandas_npi\n\n    pandas_npi.update_definitions()\n\n    #------------------------------additional details------------------------------\n\n    #CMS updates the NPPES dataset about once per month. Running the above code\n    #on a monthly basis will ensure that you are using the most up-to-date information.\n\n    #Note that the function above has no parameters. Just run the function, and it will\n    #notify you when the update is complete.\n\n### Validate NPI\n\n    import pandas as pd\n    import pandas_npi\n\n    df = pd.read_csv(\"your_dataset_here.csv\")\n\n    df = pandas_npi.validate(df, \"npi_field_here\")\n\n    #------------------------------additional details------------------------------\n\n    #The validate function takes care of cleaning/standardizing your npi. No need to\n    #preprocess on your end! Even special characters and letters are removed.\n\n    #Your dataset will be compared against the NPPES dataset. Four new fields will\n    #be added to your dataset: nppes_name, nppes_type, nppes_status, and nppes_deactivation_date.\n    #For full description of new fields, see below:\n\n* nppes_name - gives the provider or facility name for the given NPI\n* nppes_type - shows whether the NPI is a provider or facility NPI. Be aware that sole proprietors \nare not required to bill under a facility NPI\n* nppes_status - shows whether an NPI is active or deactivated\n* nppes_deactivation_date - If the NPI has been deactivated, lists the deactivation date. Else is NaN.\n* **A final note - If an NPI does not exist now, and has never existed, nppes_name, nppes_type, and\nnppes_status will all be labeled \"invalid\".**\n\n\n\n\n\n",
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