稳态流模型和对 DFS 文件的 python 访问
项目描述
水文信息
这个包包含一个稳态流模型和一些从 DHI 访问 .dfs 文件的工具
用法
将 .dfs、res1d 和 res11 文件转换为 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')
编写与 MikeZero 一起使用的泵提取文件：
#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()
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hydroinform-0.1.17.tar.gz
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内置分布
hydroinform-0.1.17-py3-none-any.whl
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