imod.mf6.OutputControl#

class imod.mf6.OutputControl(save_head=None, save_budget=None, save_concentration=None)[source]#

The Output Control Option determines how and when heads are printed to the listing file and/or written to a separate binary output file. https://water.usgs.gov/water-resources/software/MODFLOW-6/mf6io_6.0.4.pdf#page=47

Currently the settings “first”, “last”, “all”, and “frequency” are supported, the “steps” setting is not supported, because of its ragged nature. Furthermore, only one setting per stress period can be specified in imod-python.

Parameters:
  • save_head ({string, integer}, or xr.DataArray of {string, integer}, optional) – String or integer indicating output control for head file (.hds) If string, should be one of [“first”, “last”, “all”]. If integer, interpreted as frequency.

  • save_budget ({string, integer}, or xr.DataArray of {string, integer}, optional) – String or integer indicating output control for cell budgets (.cbc) If string, should be one of [“first”, “last”, “all”]. If integer, interpreted as frequency.

Examples

To specify a mix of both ‘frequency’ and ‘first’ setting, we need to specify an array with both integers and strings. For this we need to create a numpy object array first, otherwise xarray converts all to strings automatically.

>>> time = [np.datetime64("2000-01-01"), np.datetime64("2000-01-02")]
>>> data = np.array(["last", 5], dtype="object")
>>> save_head = xr.DataArray(data, coords={"time": time}, dims=("time"))
>>> oc = imod.mf6.OutputControl(save_head=save_head, save_budget=None)
__init__(save_head=None, save_budget=None, save_concentration=None)[source]#

Methods

__init__([save_head, save_budget, ...])

add_periodic_auxiliary_variable()

from_file(path, **kwargs)

Loads an imod mf6 package from a file (currently only netcdf and zarr are supported).

get_auxiliary_variable_names()

isel()

period_data()

remove_nans_from_dataset()

render(directory, pkgname, globaltimes, binary)

sel()

to_sparse(arrdict, layer)

Convert from dense arrays to list based input

write(directory, pkgname, globaltimes, binary)

write_binary_griddata(outpath, da, dtype)

write_blockfile(directory, pkgname, ...)

write_netcdf(directory, pkgname[, ...])

Write to netcdf.

write_text_griddata(outpath, da, dtype)