FloPy includes support for MODFLOW 6, MODFLOW-2005, MODFLOW-NWT, MODFLOW-USG, and MODFLOW-2000. Other supported MODFLOW-based models include MODPATH (version 6 and 7), MT3DMS, MT3D-USGS, and SEAWAT.
For general modeling issues, please consult a modeling forum, such as the MODFLOW Users Group. Other MODFLOW resources are listed in the MODFLOW Resources section.
Bug reports, code contributions, or improvements to the documentation are welcome from the community. Prior to contributing, please read up on our guidelines for contributing and then check out one of our issues in the hotlist: community-help.
FloPy code documentation is available at http://modflowpy.github.io/flopydoc/
import os
import flopy
ws = './mymodel'
name = 'mymodel'
sim = flopy.mf6.MFSimulation(sim_name=name, sim_ws=ws, exe_name='mf6')
tdis = flopy.mf6.ModflowTdis(sim)
ims = flopy.mf6.ModflowIms(sim)
gwf = flopy.mf6.ModflowGwf(sim, modelname=name, save_flows=True)
dis = flopy.mf6.ModflowGwfdis(gwf, nrow=10, ncol=10)
ic = flopy.mf6.ModflowGwfic(gwf)
npf = flopy.mf6.ModflowGwfnpf(gwf, save_specific_discharge=True)
chd = flopy.mf6.ModflowGwfchd(gwf, stress_period_data=[[(0, 0, 0), 1.],
[(0, 9, 9), 0.]])
budget_file = name + '.bud'
head_file = name + '.hds'
oc = flopy.mf6.ModflowGwfoc(gwf,
budget_filerecord=budget_file,
head_filerecord=head_file,
saverecord=[('HEAD', 'ALL'), ('BUDGET', 'ALL')])
sim.write_simulation()
sim.run_simulation()
head = flopy.utils.HeadFile(os.path.join(ws, head_file)).get_data()
bud = flopy.utils.CellBudgetFile(os.path.join(ws, budget_file),
precision='double')
spdis = bud.get_data(text='DATA-SPDIS')[0]
pmv = flopy.plot.PlotMapView(gwf)
pmv.plot_array(head)
pmv.plot_grid(colors='white')
pmv.contour_array(head, levels=[.2, .4, .6, .8], linewidths=3.)
pmv.plot_specific_discharge(spdis, color='white')
FloPy usage has been growing rapidly, and as the number of users has increased, so has the number of questions about how to use FloPy. We ask our users to carefully consider the nature of their problem and seek help in the appropriate manner.
For questions related to how to do something with FloPy, we ask our users to submit the question to Stack Overflow and assign the flopy tag. Many of our recent questions have been related to MODFLOW or Python, and the Flopy developers cannot always respond to these inquiries.
If you think you have discovered a bug in FloPy in which you feel that the program does not work as intended, then we ask you to submit a Github issue.
A list of supported packages in FloPy is available in docs/supported_packages.md on the github repo.
A table of the supported and proposed model checks implemented in FloPy is available in docs/model_checks.md on the github repo.
A summary of changes in each FloPy version is available in docs/version_changes.md on the github repo.
Python versions:
FloPy requires Python 3.5 (or higher).
Dependencies:
FloPy requires NumPy 1.9 (or higher).
For base and Anaconda Python distributions:
To install FloPy type:
pip install flopy
or
conda install -c conda-forge flopy
To update FloPy type:
pip install flopy --upgrade
or
conda update -c conda-forge flopy
To uninstall FloPy type:
pip uninstall flopy
or
conda uninstall flopy
Installing from the git repository:
Current Version of FloPy:
To install the current version of FloPy from the git repository type:
pip install https://github.com/modflowpy/flopy/zipball/master
To update your version of FloPy with the current version from the git repository type:
pip install https://github.com/modflowpy/flopy/zipball/master --upgrade
Development version of FloPy:
To install the latest development version of FloPy from the git repository type:
pip install https://github.com/modflowpy/flopy/zipball/develop
To update your version of FloPy with the latest development version from the git repository type:
pip install https://github.com/modflowpy/flopy/zipball/develop --upgrade
Optional Method Dependencies:
Additional dependencies to use optional FloPy helper methods are listed below.
Method | Python Package |
---|---|
.PlotMapView() in flopy.plot |
matplotlib >= 1.4 |
.PlotCrossSection() in flopy.plot |
matplotlib >= 1.4 |
.plot() |
matplotlib >= 1.4 |
.plot_shapefile() |
matplotlib >= 1.4 and Pyshp >= 1.2 |
.to_shapefile() |
Pyshp >= 1.2 |
.export(*.shp) |
Pyshp >= 1.2 |
.export(*.nc) |
netcdf4 >= 1.1, and python-dateutil >= 2.4 |
.export(*.tif) |
rasterio |
.export(*.asc) in flopy.utils.reference SpatialReference class |
scipy.ndimage |
.interpolate() in flopy.utils.reference SpatialReference class |
scipy.interpolate |
.interpolate() in flopy.mf6.utils.reference StructuredSpatialReference class |
scipy.interpolate |
._parse_units_from_proj4() in flopy.utils.reference SpatialReference class |
pyproj |
.get_dataframes() in flopy.utils.mflistfile ListBudget class |
pandas >= 0.15 |
.get_dataframes() in flopy.utils.observationfile ObsFiles class |
pandas >= 0.15 |
.get_dataframes() in flopy.utils.sfroutputfile ModflowSfr2 class |
pandas >= 0.15 |
.get_dataframes() in flopy.utils.util_list MfList class |
pandas >= 0.15 |
.get_dataframes() in flopy.utils.zonebud ZoneBudget class |
pandas >= 0.15 |
.pivot_keyarray() in flopy.mf6.utils.arrayutils AdvancedPackageUtil class |
pandas >= 0.15 |
._get_vertices() in flopy.mf6.utils.binaryfile_utils MFOutputRequester class |
pandas >= 0.15 |
.get_dataframe() in flopy.mf6.utils.mfobservation Observations class |
pandas >= 0.15 |
.df() in flopy.modflow.mfsfr2 SfrFile class |
pandas >= 0.15 |
.time_coverage() in flopy.export.metadata acc class - used if available |
pandas >= 0.15 |
.loadtxt() in flopy.utils.flopyio - used if available |
pandas >= 0.15 |
.generate_classes() in flopy.mf6.utils |
pymake |
.intersect() in flopy.discretization.VertexGrid |
matplotlib >= 1.4 |
GridIntersect() in flopy.utils.gridintersect |
shapely |
GridIntersect().plot_polygon() in flopy.utils.gridintersect |
shapely and descartes |
Raster() in flopy.utils.Raster |
rasterio, affine, and scipy |
Raster().sample_polygon() in flopy.utils.Raster |
shapely |
Raster().crop() in flopy.utils.Raster |
shapely |
.array_at_verts() in flopy.discretization.structuredgrid StructuredGrid class |
scipy.interpolate |
- MODFLOW and Related Programs
- Online guide for MODFLOW-2000
- Online guide for MODFLOW-2005
- Online guide for MODFLOW-NWT
This software is preliminary or provisional and is subject to revision. It is being provided to meet the need for timely best science. The software has not received final approval by the U.S. Geological Survey (USGS). No warranty, expressed or implied, is made by the USGS or the U.S. Government as to the functionality of the software and related material nor shall the fact of release constitute any such warranty. The software is provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the software.