Metadata-Version: 1.1
Name: uc-scraper
Version: 0.2
Summary: A scraper of statistical data from uc.se, built on top of Statscraper.
Home-page: https://github.com/jplusplus/uc_scraper
Author: Jens Finnäs
Author-email: jens.finnas@gmail.com
License: MIT
Download-URL: https://github.com/jplusplus/uc_scraper/archive/0.2.tar.gz
Description: 
        This is a non-official scraper for statistical data from the (https://www.uc.se/konkursstatistik)[uc.se]  built on top of the `Statscraper package <https://github.com/jplusplus/statscraper>`.
        
        The scraper is limited to the data availble through https://www.uc.se/konkursstatistik
        
        Install
        -------
        
        .. code:: bash
        
          $ pip install uc_scraper
        
        
        Example usage
        -------------
        
        .. code:: python
        
          from uc import UCScraper
        
          # Init scraper
          scraper = UCScraper()
        
          # List all available datasets
          print(scraper.items)
          # [<UCDataset: Riks- och länsstatistik (b'Riks- och l\xc3\xa4nsstatistik')>, <UCDataset: Kommunstatistik (b'Kommunstatistik')>, <UCDataset: Branschstatistik (b'Branschstatistik')>]
        
          # Select a dataset
          dataset = scraper.items["Branschstatistik"]
        
          # List all available dimensions
          print(dataset.dimensions)
          #
        
          # Make a query
          res = dataset.fetch()  # Get latest available data by default
        
          # Analyze the results with Pandas
          df = res.pandas
        
          # You are able to query month ranges
          res = dataset.fetch({"from": "2019-06"})
        
          res = dataset.fetch({"from": "2019-06", "to": "2019-07"})
        
        
        Develop
        -------
        
        Set up:
        
        .. code:: bash
        
          $ pip install -r requirements.txt
        
        Run tests:
        
        .. code:: bash
        
          $ make tests
        
        Deploy to pypi (assuming you have Twine installed, if not `pip install twine`)
        
        .. code:: bash
        
          $ make tests
        
Platform: UNKNOWN
