hydroinform

This package contains a steady-state stream model and some tools to access .dfs-files from DHI

Usage

Convert .dfs, res1d and res11-files to netCDF:

#Import NetCDF and DFS from hydroinform
from hydroinform import NetCDF, DFS

#Saves "omr4_jag_3DSZ.dfs3 as "omr4_jag_3DSZ.nc"
NetCDF.save_as_NetCDF('omr4_jag_3DSZ.dfs3')

#Saves "omr4_jag_3DSZ.dfs3 as "newname.nc"
NetCDF.save_as_NetCDF('omr4_jag_3DSZ.dfs3','newname.nc')

#Saves only the first item and the second and fourth time step from "omr4_jag_3DSZ.dfs3""
d= DFS.DFSBase.open_file('omr4_jag_3DSZ.dfs3')
NetCDF.save_dfs_as_NetCDF(d, [0], [1,3], 'omr4_jag_3DSZ_one_time.nc')

#Saves the discharge data from "Storaa_HD_quasiStationary_20090701.res1d" as 'Storaa_HD_quasiStationary_20090701.nc'
NetCDF.save_as_NetCDF('Storaa_HD_quasiStationary_20090701.res1d')

Write a pump extraction file to be used with MikeZero:

#Import DFS from HydroInform
from hydroinform import DFS
import datetime

#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()

Metadata

Release files for hydroinform 0.1.17

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for hydroinform 0.1.17
File	Size	Uploaded
hydroinform-0.1.17.tar.gz	47.4 kB	Aug 24, 2022	Details

Built distribution (wheel)

Table of built distributions (wheels) for hydroinform 0.1.17
File	Interpreter	ABI	Platform	Reset
hydroinform-0.1.17-py3-none-any.whl 49.7 kB Aug 24, 2022	Python 3	none	any	Details

Total release size: 97.1 kB

Release files / hydroinform-0.1.17.tar.gz

Download URL	hydroinform-0.1.17.tar.gz
Size	47.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`d4ad429b18ff2c0b56feb6f19eeb7a79af34e04cbb6ff03d5dd3242b1dbcada2`
BLAKE2b-256 checksum How to use checksums	`4c454b0b97be5b2882f930dd959e5256dd5078e3013d5aa52112a801b183ffaf`
Upload date	Aug 24, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.8`

Release files / hydroinform-0.1.17-py3-none-any.whl

Download URL	hydroinform-0.1.17-py3-none-any.whl
Size	49.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`3b6f785cbef9149232040466b3872486fd1a03f3a932db61e299fe7f8ce0ba86`
BLAKE2b-256 checksum How to use checksums	`fe99b5b3e4b5bf82c22b5d5b0bb07d41d0ac1bd87fd42152d981a9ec1707a5d1`
Upload date	Aug 24, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/47.1.0 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.7.8`