swn.modflow.SwnMf6.packagedata_frame#
- SwnMf6.packagedata_frame(style: str, auxiliary: list = [], boundname=None)#
Return DataFrame of PACKAGEDATA for MODFLOW 6 SFR.
This DataFrame is derived from the reaches DataFrame.
- Parameters:
- stylestr
If “native”, all indices (including kij) use one-based notation. Also use k,i,j columns (as str) rather than cellid. If “flopy”, all indices (including rno/ifno) use zero-based notation. Also use cellid as a tuple.
- auxiliarystr, list, optional
String or list of auxiliary variable names. Default [].
- boundnamebool, optional
Default None will determine if “boundname” column is added if available in reaches.columns.
- Returns:
- DataFrame
See also
SwnMf6.write_packagedataWrite native file.
SwnMf6.flopy_packagedataList of lists for flopy.
Examples
>>> import flopy >>> import geopandas >>> import swn >>> lines = geopandas.GeoSeries.from_wkt([ ... "LINESTRING (60 100, 60 80)", ... "LINESTRING (40 130, 60 100)", ... "LINESTRING (70 130, 60 100)"]) >>> lines.index += 100 >>> n = swn.SurfaceWaterNetwork.from_lines(lines) >>> sim = flopy.mf6.MFSimulation() >>> _ = flopy.mf6.ModflowTdis(sim, nper=1, time_units="days") >>> gwf = flopy.mf6.ModflowGwf(sim) >>> _ = flopy.mf6.ModflowGwfdis( ... gwf, nrow=3, ncol=2, delr=20.0, delc=20.0, idomain=1, ... length_units="meters", xorigin=30.0, yorigin=70.0) >>> nm = swn.SwnMf6.from_swn_flopy(n, gwf) >>> nm.default_packagedata() >>> nm.reaches["boundname"] = nm.reaches["segnum"] >>> nm.reaches["aux1"] = 2.0 + nm.reaches.index / 10.0 >>> nm.packagedata_frame("native", auxiliary="aux1") k i j rlen rwid rgrd ... man ncon ustrf ndv aux1 boundname ifno ... 1 1 1 1 18.027756 10.0 0.001 ... 0.024 1 0.0 0 2.1 101 2 1 1 2 6.009252 10.0 0.001 ... 0.024 2 1.0 0 2.2 101 3 1 2 2 12.018504 10.0 0.001 ... 0.024 2 1.0 0 2.3 101 4 1 1 2 21.081851 10.0 0.001 ... 0.024 1 0.0 0 2.4 102 5 1 2 2 10.540926 10.0 0.001 ... 0.024 2 1.0 0 2.5 102 6 1 2 2 10.000000 10.0 0.001 ... 0.024 3 1.0 0 2.6 100 7 1 3 2 10.000000 10.0 0.001 ... 0.024 1 1.0 0 2.7 100 [7 rows x 15 columns] >>> nm.packagedata_frame("flopy", boundname=False).drop(columns="man") cellid rlen rwid rgrd rtp rbth rhk ncon ustrf ndv ifno 0 (0, 0, 0) 18.027756 10.0 0.001 1.0 1.0 1.0 1 0.0 0 1 (0, 0, 1) 6.009252 10.0 0.001 1.0 1.0 1.0 2 1.0 0 2 (0, 1, 1) 12.018504 10.0 0.001 1.0 1.0 1.0 2 1.0 0 3 (0, 0, 1) 21.081851 10.0 0.001 1.0 1.0 1.0 1 0.0 0 4 (0, 1, 1) 10.540926 10.0 0.001 1.0 1.0 1.0 2 1.0 0 5 (0, 1, 1) 10.000000 10.0 0.001 1.0 1.0 1.0 3 1.0 0 6 (0, 2, 1) 10.000000 10.0 0.001 1.0 1.0 1.0 1 1.0 0