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        "description": "BLS Connect\n===========\n\nBLS Connect is an integration of BLS's API built for Python. It provides users an easy and intuitive way to import BLS data into pandas DataFrames.\n\n``RequestBLS().series()`` takes a Series ID input and returns a pandas DataFrame. It contains tons of useful functionality in keyword arguments, including:\n\n- ``shape`` : Import multiple time series in either wide or long formats.\n- ``interpolate`` : Interpolate missing data.\n- ``groupby`` : Group by period.\n\nAfter running the ``.series()`` method, the ``RequestBLS()`` class also stores messages in ``.messages`` and a data catalog (if the API key was defined) in ``.catalog``. (Other than that, the data from the request is not stored in the class; be sure to assign it to a variable.) These attributes reset each time the ``.series()`` method is run.\n\n``bls_search()`` makes it easy and intuitive to retrieve the Series ID's for the data you want for various popular series. This function seamlessly handles list inputs, returning a dictionary of all possible permutations from the lists provided.\n\n**Note:** Functionality for ``bls_search()`` is currently limited. Check out the docs to see what it can do so far.\n\nDocs coming soon. In the meanwhile, check out the docstrings.\n\nInstallation and Setup\n----------------------\n\nInstall and update using `pip`_:\n\n.. code-block:: text\n\n    pip install -U blsconnect\n\nThe BLS Connect module works better if you have a BLS API key; you can register for one `here`_.\n\nA Simple Example\n----------------\n\n.. code-block:: python\n\n    import pandas as pd\n    from blsconnect import RequestBLS, bls_search\n\n    MY_API_KEY = \"\"\n    bls = RequestBLS(key=MY_API_KEY)\n\n    # Get seasonally-adjusted unemployment rates for Florida, Georgia, and all U.S.\n    series_names = bls_search(data=\"U3\",\n                              state=[\"FL\", \"GA\", \"US\"],\n                              sa=True)\n\n    df = bls.series(series_names,\n                    start_year=2010,\n                    end_year=2019)\n\n    df.head()\n\nAbout\n-----\n\nBLS Connect was created by Daniel Reeves in collaboration with `Employ America`_, a Washington D.C. based organization that seeks to promote macroeconomic policies that ensure the sustained advancement of labor market outcomes for all American workers.\n\n.. _Employ America: https://employamerica.org/\n.. _here: https://data.bls.gov/registrationEngine/\n.. _pip: https://pip.pypa.io/en/stable/quickstart/\n.. _check out the docs: docs/\n\n\n",
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