Metadata-Version: 2.1
Name: meteoserver
Version: 0.0.1
Summary: A Python module to obtain and read Dutch weather data from Meteoserver.nl
Home-page: https://github.com/MarcvdSluys/Meteoserver
Author: Marc van der Sluys
License: GPLv3+
Description: # Meteoserver #
        
        A Python module do obtain and read Dutch weather data from Meteoserver.nl.  The code is being developped by
        Marc van der Sluys of the department of Sustainable energy of the HAN University of Applied Sciences in
        Arnhem, the Netherlands.
        
        
        ## Installation ##
        
        This package can be installed using `pip install meteoserver`.  This should automatically install the dependency
        packages `pandas`, `json` and `requests`, if they haven't been installed already.
        If you are installing by hand, ensure that these packages are installed as well.
        
        You will need to obtain a (free) account and API key at [Meteoserver.nl](https://meteoserver.nl/) to download
        data from the Meteoserver API.
        
        
        ## Example use ##
        
        ```python
        """Example Python script using the Meteoserver module."""
        
        import meteoserver as ms
        
        myKey = 'a123456789'    # My Meteoserver API key - put your OWN key here!
        myLocation = 'De Bilt'  # My location
        
        # Read a Meteoserver JSON file from disc:
        # current, forecast = ms.read_json_file_zon('ZonActueel.json')
        
        # Get Meteoserver Sun data from the server for the given location (and key):
        current, forecast = ms.read_json_url_zon(myKey, myLocation)
        
        # Print the current-weather and forecast dataframes:
        print("\nCurrent Sun/weather observation from a nearby station:")
        print(current)
        print("\nSun/weather forecast for the selected location/region:")
        print(forecast)
        
        # Print the forecasts in a nice format:
        print("\nSelected Sun/weather forecast variables in full:")
        print("%10s  %16s  %4s  %3s   %3s  %3s  %3s  %3s" % ('UNIX time', 'Date/time CET', 'Rad', 'Sun', 'Cld', 'LCl', 'MCl', 'HCl'))
        for row in forecast.iterrows():  # Makes (index, Series) pairs out of row
            # idx = row[0]  # Index
            ser = row[1]  # Data series
            
            # if(float(ser.elev) > 0 and int(ser.sd)==0):
            print("%10i  %16s  %4i  %3i   %3i  %3i  %3i  %3i" %(int(ser.time), ser.cet, int(ser.gr), int(ser.sd), int(ser.tc), int(ser.lc), int(ser.mc), int(ser.hc)))
        ```
        
        ## Meteoserver pages ##
        
        * [Pypi](https://pypi.org/project/meteoserver/): Meteoserver Python package
        * [GitHub](https://github.com/MarcvdSluys/Meteoserver): Meteoserver source code
        
        
        ## Author and licence ##
        
        * Author: Marc van der Sluys
        * Contact: http://han.vandersluys.nl/en/
        * Licence: [GPLv3+](https://www.gnu.org/licenses/gpl.html)
        
        
        ## References ##
        
        * Data, API key and API documentation can be obtained from [Meteoserver.nl](https://meteoserver.nl/)
        
Keywords: weather,sun,data,forecast,api
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Physics
Description-Content-Type: text/markdown
