Metadata-Version: 2.1
Name: meteoserver
Version: 0.0.3
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 to obtain and read Dutch weather data from Meteoserver.nl.  The code is being developped by
        [Marc van der Sluys](http://han.vandersluys.nl/en/) 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` 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 meteo
        
        myKey = 'a123456789'    # My Meteoserver API key - put your OWN key here!
        myLocation = 'De Bilt'  # My location
        
        # Print some help:
        meteo.print_help_zonactueel()
        
        # Read a Meteoserver JSON file from disc:
        # current, forecast = meteo.read_json_file_zon('ZonActueel.json')
        
        # Get Meteoserver Sun data from the server for the given location (and key):
        current, forecast = meteo.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
