flopy.pakbase module

pakbase module

This module contains the base package class from which all of the other packages inherit from.

class Package(parent, extension='glo', name='GLOBAL', unit_number=1, filenames=None, allowDuplicates=False)

Bases: PackageInterface

Base package class from which most other packages are derived.

Parameters:

• parent (object) – Parent model object.

• extension (str or list, default "glo") – File extension, without “.”, use list to describe more than one.

• name (str or list, default "GLOBAL") – Package name, use list to describe more than one.

• unit_number (int or list, default 1) – Unit number, use list to describe more than one.

• filenames (str or list, default None) –

• allowDuplicates (bool, default False) – Allow more than one instance of package in parent.

static add_to_dtype(dtype, field_names, field_types)

Add one or more fields to a structured array data type

Parameters:

• dtype (numpy.dtype) – Input structured array datatype to add to.

• field_names (str or list) – One or more field names.

• field_types (numpy.dtype or list) – One or more data types. If one data type is supplied, it is repeated for each field name.

property data_list

export(f, **kwargs)

Method to export a package to netcdf or shapefile based on the extension of the file name (.shp for shapefile, .nc for netcdf)

Parameters:

• f (str) – filename

• kwargs (keyword arguments) –

  modelgridflopy.discretization.Grid instance

  user supplied modelgrid which can be used for exporting in lieu of the modelgrid associated with the model object

Return type:

None or Netcdf object

level1_arraylist(idx, v, name, txt)

static load(f: str | bytes | PathLike, model, pak_type, ext_unit_dict=None, **kwargs)

Default load method for standard boundary packages.

property name

property package_type

property parent

plot(**kwargs)

Plot 2-D, 3-D, transient 2-D, and stress period list (MfList) package input data

Parameters:

**kwargs (dict) –

filename_basestr

Base file name that will be used to automatically generate file names for output image files. Plots will be exported as image files if file_name_base is not None. (default is None)

file_extensionstr

Valid matplotlib.pyplot file extension for savefig(). Only used if filename_base is not None. (default is ‘png’)

mflayint

MODFLOW zero-based layer number to return. If None, then all all layers will be included. (default is None)

kperint

MODFLOW zero-based stress period number to return. (default is zero)

keystr

MfList dictionary key. (default is None)

Returns:

axes – Empty list is returned if filename_base is not None. Otherwise a list of matplotlib.pyplot.axis are returned.

Return type:

list

Notes

Examples

>>> import flopy
>>> ml = flopy.modflow.Modflow.load('test.nam')
>>> ml.dis.plot()

property plottable

to_shapefile(filename, **kwargs)

Export 2-D, 3-D, and transient 2-D model data to shapefile (polygons). Adds an attribute for each layer in each data array

Parameters:

filename (str) – Shapefile name to write

Return type:

None

Notes

Examples

>>> import flopy
>>> ml = flopy.modflow.Modflow.load('test.nam')
>>> ml.lpf.to_shapefile('test_hk.shp')

webdoc()

Open the web documentation.

write_file(f=None, check=False)

Every Package needs its own write_file function

class PackageInterface

Bases: object

check(f=None, verbose=True, level=1, checktype=None)

Check package data for common errors.

Parameters:

• f (str or file handle) – String defining file name or file handle for summary file of check method output. If a sting is passed a file handle is created. If f is None, check method does not write results to a summary file. (default is None)

• verbose (bool) – Boolean flag used to determine if check method results are written to the screen

• level (int) – Check method analysis level. If level=0, summary checks are performed. If level=1, full checks are performed.

• checktype (check) – Checker type to be used. By default class check is used from check.py.

Return type:

None

Examples

>>> import flopy
>>> m = flopy.modflow.Modflow.load('model.nam')
>>> m.dis.check()

abstract property data_list

abstract export(f, **kwargs)

property has_stress_period_data

abstract property name

abstract property package_type

abstract property parent

abstract property plottable