Metadata-Version: 2.1
Name: hydroinform
Version: 0.1.2
Summary: A steady-state stream model and python access to DFS-files
Home-page: http://hydroinform.dk
Author: Jan Gregersen and Jacob Gudbjerg
Author-email: jacobgudbjerg@gmail.com
License: UNKNOWN
Description: # hydroinform
        This package contains a steady-state stream model and some tools to access .dfs-files from DHI
        
        # Usage
        Write a pump extraction file to be used with MikeZero:
        ```sh
        #Import DFS from HydroInform
        from hydroinform import DFS
        
        #The number of Items (In this case number of pumping wells)
        numberofitems = 5;
        
        #Now create the file.
        _tso = DFS.DFS0.new_file(r'c:\temp\extraction.dfs0'), numberofitems);
        
        #Loop the items and set the units etc.
        for itemCount in range (0, numberofitems):
            _tso.items[itemCount].value_type = DFS.DataValueType.MeanStepBackward
            _tso.items[itemCount].eum_item = DFS.EumItem.eumIPumpingRate
            _tso.items[itemCount].eum_unit = DFS.EumUnit.eumUm3PerYear
            _tso.items[itemCount].name = "Item number: " + str(itemCount)
              
        #Loop the years where you have pumping data
        tscount = 0;
        for year in range(2010, 2016):
            #For every year append a new timestep
            _tso.append_time_step(datetime.datetime(year, 12, 31, 12))
            #Loop the items and set a value for this timestep
            for itemCount in range (0, numberofitems):
                #Sets the data. Note that timesteps count from 0 and Items count from 1
                _tso.set_data(tscount, itemCount+1, year * itemCount)
            tscount+=1
        #Call dispose which will save and close the file.
        _tso.dispose();
        ```
Platform: UNKNOWN
Classifier: Programming Language :: Python
Classifier: License :: OSI Approved :: GNU General Public License (GPL)
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
