def setupDfs0(): global shePath global dfs global dfsDataX global dfsDataY global nX global nY global nZ import clr global simStart global simStart now = MShePy.wm.currentTime() clr.AddReference("DHI.Mike.Install, Version=1.0.0.0, Culture=neutral, PublicKeyToken=c513450b5d0bf0bf") # "fully qualified" name required! from DHI.Mike.Install import MikeImport, MikeProducts MikeImport.SetupLatest() clr.AddReference("DHI.Generic.MikeZero.DFS") clr.AddReference("DHI.Generic.MikeZero.EUM") clr.AddReference("System") import System from System import Array from DHI.Generic.MikeZero import eumUnit, eumItem, eumQuantity from DHI.Generic.MikeZero.DFS import DfsFactory, DfsBuilder, DfsSimpleType, DataValueType shePath = MShePy.wm.getSheFilePath() sheDir = os.path.dirname(shePath) filename = os.path.join(sheDir, 'BndFluxes.dfs2') builder = DfsBuilder.Create(filename, "MSHE SZ boundary fluxes output per layer", 0) builder.SetDataType(1) factory = DfsFactory() builder.SetGeographicalProjection(factory.CreateProjectionGeoOrigin("NON-UTM", 0, 0, 0)) simStart = now nowSys = System.DateTime(now.year, now.month, now.day, now.hour, now.minute, now.second) # note: time unit given here has to be used in WriteItemTimeStepNext axis = factory.CreateTemporalNonEqCalendarAxis(eumUnit.eumUsec, nowSys) builder.SetTemporalAxis(axis) builder.DeleteValueFloat = -1e-30 (startTime, endTime, values) = MShePy.wm.getValues(MShePy.paramTypes.SZ_X_FLO) # just for the geometry (nX, nY, nZ) = values.shape() (x0, y0) = MShePy.wm.gridCellToCoord(0, 0) (x1, y1) = MShePy.wm.gridCellToCoord(1, 1) dfsDataX = Array.CreateInstance(System.Single, nX * nY) dfsDataY = Array.CreateInstance(System.Single, nX * nY) for x in range(nX): for y in range(nY): if(not MShePy.wm.gridIsInModel(x, y)): dfsDataX[x + y * nX] = builder.DeleteValueFloat dfsDataY[x + y * nX] = builder.DeleteValueFloat dx = x1 - x0 # cell size, dx == dy axis = factory.CreateAxisEqD2(eumUnit.eumUmeter, nX, x0 - dx / 2, dx, nY, y0 - dx / 2, dx) itemBuilder = builder.CreateDynamicItemBuilder() itemBuilder.SetValueType(DataValueType.MeanStepBackward) itemBuilder.SetAxis(axis) for iz in range(nZ): for xy in ['x', 'y']: itemBuilder.Set('Boundary inflow layer {0}, {1}-direction'.format(iz + 1, xy), eumQuantity.Create(eumItem.eumIDischarge, eumUnit.eumUm3PerSec), DfsSimpleType.Float) builder.AddDynamicItem(itemBuilder.GetDynamicItemInfo()) builder.CreateFile(filename) dfs = builder.GetFile()
def to_mesh(self, outfilename, projection=None, z=None): """export grid to mesh file Parameters ---------- outfilename : str path of new mesh file projection : str, optional WKT projection string, by default 'LONG/LAT' z : float or array(float), optional bathymetry values for each node, by default 0 if array: must have length=(nx+1)*(ny+1) """ if projection is None: projection = "LONG/LAT" # get node based grid xn = Grid2D._centers_to_nodes(self.x) yn = Grid2D._centers_to_nodes(self.y) gn = Grid2D(xn, yn) x = gn.xy[:, 0] y = gn.xy[:, 1] if z is None: z = np.zeros(gn.n) else: if np.isscalar(z): z = z * np.ones(gn.n) else: if len(z) != gn.n: raise ValueError( "z must either be scalar or have length of nodes ((nx+1)*(ny+1))" ) codes = np.zeros(gn.n, dtype=int) codes[y == gn.bbox.top] = 5 # north codes[x == gn.bbox.right] = 4 # east codes[y == gn.bbox.bottom] = 3 # south codes[x == gn.bbox.left] = 2 # west codes[(y == gn.bbox.top) & (x == gn.bbox.left)] = 5 # corner->north builder = MeshBuilder() builder.SetNodes(x, y, z, codes) elem_table = gn._to_element_table(index_base=1) builder.SetElements(asnetarray_v2(elem_table)) builder.SetProjection(projection) quantity = eumQuantity.Create(EUMType.Bathymetry, EUMUnit.meter) builder.SetEumQuantity(quantity) newMesh = builder.CreateMesh() newMesh.Write(outfilename)
def _setup_header(self): factory = DfsFactory() builder = DfsBuilder.Create(self._title, "DFS", 0) builder.SetDataType(1) builder.SetGeographicalProjection(factory.CreateProjectionUndefined()) system_start_time = to_dotnet_datetime(self._start_time) if self._is_equidistant: temporal_axis = factory.CreateTemporalEqCalendarAxis( self._timeseries_unit, system_start_time, 0, self._dt ) else: temporal_axis = factory.CreateTemporalNonEqCalendarAxis( self._timeseries_unit, system_start_time ) builder.SetTemporalAxis(temporal_axis) builder.SetItemStatisticsType(StatType.RegularStat) dtype_dfs = self._to_dfs_datatype(self._dtype) for i in range(self._n_items): item = self._items[i] newitem = builder.CreateDynamicItemBuilder() quantity = eumQuantity.Create(item.type, item.unit) newitem.Set( item.name, quantity, dtype_dfs, ) if self._data_value_type is not None: newitem.SetValueType(self._data_value_type[i]) else: newitem.SetValueType(DataValueType.Instantaneous) newitem.SetAxis(factory.CreateAxisEqD0()) builder.AddDynamicItem(newitem.GetDynamicItemInfo()) try: builder.CreateFile(self._filename) except IOError: raise IOError(f"Cannot create dfs0 file: {self._filename}") return builder.GetFile()
def _setup_header(self, filename): system_start_time = to_dotnet_datetime(self._start_time) self._builder.SetDataType(0) if self._coordinate[0] == "LONG/LAT": proj = self._factory.CreateProjectionGeoOrigin(*self._coordinate) else: if self._override_coordinates: proj = self._factory.CreateProjectionProjOrigin(*self._coordinate) else: proj = self._factory.CreateProjectionGeoOrigin(*self._coordinate) self._builder.SetGeographicalProjection(proj) if self._is_equidistant: self._builder.SetTemporalAxis( self._factory.CreateTemporalEqCalendarAxis( self._timeseries_unit, system_start_time, 0, self._dt ) ) else: self._builder.SetTemporalAxis( self._factory.CreateTemporalNonEqCalendarAxis( self._timeseries_unit, system_start_time ) ) for item in self._items: self._builder.AddDynamicItem( item.name, eumQuantity.Create(item.type, item.unit), DfsSimpleType.Float, DataValueType.Instantaneous, ) try: self._builder.CreateFile(filename) except IOError: # TODO does this make sense? print("cannot create dfs file: ", filename) return self._builder.GetFile()
def to_mesh(self, outfilename, projection=None, z=None): """export grid to mesh file Parameters ---------- outfilename : str path of new mesh file projection : str, optional WKT projection string, by default 'LONG/LAT' z : array, optional array of bathymetry values for each node, by default 0 """ if projection is None: projection = "LONG/LAT" x = self.xy[:, 0] y = self.xy[:, 1] if z is None: z = np.zeros(self.n) codes = np.zeros(self.n, dtype=int) codes[y == self.y1] = 5 # north codes[x == self.x1] = 4 # east codes[y == self.y0] = 3 # south codes[x == self.x0] = 2 # west codes[(y == self.y1) & (x == self.x0)] = 5 # corner->north builder = MeshBuilder() builder.SetNodes(x, y, z, codes) elem_table = self._to_element_table(index_base=1) builder.SetElements(asnetarray_v2(elem_table)) builder.SetProjection(projection) quantity = eumQuantity.Create(EUMType.Bathymetry, EUMUnit.meter) builder.SetEumQuantity(quantity) newMesh = builder.CreateMesh() newMesh.Write(outfilename)
def create( self, filename, data, start_time=None, dt=1, datetimes=None, items=None, length_x=1, length_y=1, x0=0, y0=0, coordinate=None, timeseries_unit=TimeStep.SECOND, title=None, ): """ Create a dfs2 file Parameters ---------- filename: str Location to write the dfs2 file data: list[np.array] list of matrices, one for each item. Matrix dimension: time, y, x start_time: datetime, optional start date of type datetime. timeseries_unit: Timestep, optional TimeStep default TimeStep.SECOND dt: float, optional The time step. Therefore dt of 5.5 with timeseries_unit of TimeStep.MINUTE means 5 mins and 30 seconds. Default 1 datetimes: list[datetime], optional datetimes, creates a non-equidistant calendar axis items: list[ItemInfo], optional List of ItemInfo corresponding to a variable types (ie. Water Level). coordinate: ['UTM-33', 12.4387, 55.2257, 327] for UTM, Long, Lat, North to Y orientation. Note: long, lat in decimal degrees x0: float, optional Lower right position x0: float, optional Lower right position length_x: float, optional length of each grid in the x direction (projection units) length_y: float, optional length of each grid in the y direction (projection units) title: str, optional title of the dfs2 file. Default is blank. """ if title is None: title = "" n_time_steps = np.shape(data[0])[0] number_y = np.shape(data[0])[1] number_x = np.shape(data[0])[2] n_items = len(data) if start_time is None: start_time = datetime.now() if coordinate is None: coordinate = ["LONG/LAT", 0, 0, 0] if items is None: items = [ItemInfo(f"temItem {i+1}") for i in range(n_items)] if not all(np.shape(d)[0] == n_time_steps for d in data): raise Warning( "ERROR data matrices in the time dimension do not all match in the data list. " "Data is list of matices [t,y,x]") if not all(np.shape(d)[1] == number_y for d in data): raise Warning( "ERROR data matrices in the Y dimension do not all match in the data list. " "Data is list of matices [t,y,x]") if not all(np.shape(d)[2] == number_x for d in data): raise Warning( "ERROR data matrices in the X dimension do not all match in the data list. " "Data is list of matices [t,y,x,]") if len(items) != n_items: raise Warning( "number of items must correspond to the number of arrays in data list" ) if datetimes is None: equidistant = True if not type(start_time) is datetime: raise Warning("start_time must be of type datetime ") else: equidistant = False start_time = datetimes[0] # if not isinstance(timeseries_unit, int): # raise Warning("timeseries_unit must be an integer. timeseries_unit: second=1400, minute=1401, hour=1402, " # "day=1403, month=1405, year= 1404See dfsutil options for help ") system_start_time = System.DateTime( start_time.year, start_time.month, start_time.day, start_time.hour, start_time.minute, start_time.second, ) # Create an empty dfs2 file object factory = DfsFactory() builder = Dfs2Builder.Create(title, "mikeio", 0) # Set up the header builder.SetDataType(0) if coordinate[0] == "LONG/LAT": builder.SetGeographicalProjection( factory.CreateProjectionGeoOrigin(coordinate[0], coordinate[1], coordinate[2], coordinate[3])) else: builder.SetGeographicalProjection( factory.CreateProjectionProjOrigin(coordinate[0], coordinate[1], coordinate[2], coordinate[3])) if equidistant: builder.SetTemporalAxis( factory.CreateTemporalEqCalendarAxis(timeseries_unit, system_start_time, 0, dt)) else: builder.SetTemporalAxis( factory.CreateTemporalNonEqCalendarAxis( eumUnit.eumUsec, system_start_time)) builder.SetSpatialAxis( factory.CreateAxisEqD2(eumUnit.eumUmeter, number_x, x0, length_x, number_y, y0, length_y)) for i in range(n_items): builder.AddDynamicItem( items[i].name, eumQuantity.Create(items[i].type, items[i].unit), DfsSimpleType.Float, DataValueType.Instantaneous, ) try: builder.CreateFile(filename) except IOError: print("cannot create dfs2 file: ", filename) dfs = builder.GetFile() deletevalue = dfs.FileInfo.DeleteValueFloat # -1.0000000031710769e-30 for i in range(n_time_steps): for item in range(n_items): d = data[item][i, :, :] d[np.isnan(d)] = deletevalue d = d.reshape(number_y, number_x) d = np.flipud(d) darray = Array[System.Single](np.array( d.reshape(d.size, 1)[:, 0])) if equidistant: dfs.WriteItemTimeStepNext(0, darray) else: t = datetimes[i] relt = (t - start_time).seconds dfs.WriteItemTimeStepNext(relt, darray) dfs.Close()
def create( self, filename, data, start_time=None, timeseries_unit=TimeStep.SECOND, dt=1.0, datetimes=None, items=None, title=None, data_value_type=None, ): """Create a dfs0 file. Parameters ---------- filename: str Full path and filename to dfs0 to be created. data: list[np.array] values start_time: datetime.datetime, , optional start date of type datetime. timeseries_unit: Timestep, optional Timestep unitdefault Timestep.SECOND dt: float, optional the time step. Therefore dt of 5.5 with timeseries_unit of minutes means 5 mins and 30 seconds. default to 1.0 items: list[ItemInfo], optional List of ItemInfo corresponding to a variable types (ie. Water Level). title: str, optional title data_value_type: list[DataValueType], optional DataValueType default DataValueType.INSTANTANEOUS """ if title is None: title = "dfs0 file" n_items = len(data) n_time_steps = np.shape(data[0])[0] if start_time is None: start_time = datetime.now() if items is None: items = [ItemInfo(f"temItem {i+1}") for i in range(n_items)] if len(items) != n_items: raise Warning( "names must be an array of strings with the same number of elements as data columns" ) if datetimes is None: equidistant = True if not type(start_time) is datetime: raise Warning("start_time must be of type datetime ") dt = np.float(dt) datetimes = np.array( [ start_time + timedelta(seconds=(step * dt)) for step in np.arange(n_time_steps) ] ) else: start_time = datetimes[0] equidistant = False # if not isinstance(timeseries_unit, int): # raise Warning("timeseries_unit must be an integer. See dfsutil options for help ") system_start_time = to_dotnet_datetime(start_time) factory = DfsFactory() builder = DfsBuilder.Create(title, "DFS", 0) builder.SetDataType(1) builder.SetGeographicalProjection(factory.CreateProjectionUndefined()) if equidistant: builder.SetTemporalAxis( factory.CreateTemporalEqCalendarAxis( timeseries_unit, system_start_time, 0, dt ) ) else: builder.SetTemporalAxis( factory.CreateTemporalNonEqCalendarAxis( timeseries_unit, system_start_time ) ) builder.SetItemStatisticsType(StatType.RegularStat) for i in range(n_items): item = builder.CreateDynamicItemBuilder() item.Set( items[i].name, eumQuantity.Create(items[i].type, items[i].unit), DfsSimpleType.Float, ) if data_value_type is not None: item.SetValueType(data_value_type[i]) else: item.SetValueType(DataValueType.Instantaneous) item.SetAxis(factory.CreateAxisEqD0()) builder.AddDynamicItem(item.GetDynamicItemInfo()) try: builder.CreateFile(filename) except IOError: print("cannot create dfso file: ", filename) dfs = builder.GetFile() delete_value = dfs.FileInfo.DeleteValueFloat for i in range(n_items): d = data[i] d[np.isnan(d)] = delete_value data1 = np.stack(data, axis=1) t_seconds = [(t - datetimes[0]).total_seconds() for t in datetimes] Dfs0Util.WriteDfs0DataDouble(dfs, t_seconds, to_dotnet_array(data1)) dfs.Close()
def create( self, meshfilename, filename, data, start_time=None, dt=1, timeseries_unit=TimeStep.SECOND, items=None, title=None, ): """Create a dfsu file Parameters ----------- meshfilename: str, full path to a mesh or dfsu file filename: str full path to the new dfsu file data: list[np.array] list of matrices, one for each item. Matrix dimension: time, y, x start_time: datetime, optional start datetime, default is datetime.now() dt: float The time step. Therefore dt of 5.5 with timeseries_unit of TimeStep.MINUTE means 5 mins and 30 seconds. Default 1 timeseries_unit: TimeStep, optional default TimeStep.SECOND unit: list[ItemInfo], optional Name, item, unit, default is undefined title: str title of the dfsu file. Default is blank. """ n_items = len(data) n_time_steps = np.shape(data[0])[0] if start_time is None: start_time = datetime.now() if items is None: items = [ItemInfo(f"temItem {i+1}") for i in range(n_items)] if title is None: title = "" system_start_time = to_dotnet_datetime(start_time) # Default filetype; filetype = DfsuFileType.Dfsu2D _, ext = os.path.splitext(meshfilename) if ext == ".mesh": source = MeshFile.ReadMesh(meshfilename) projstr = source.ProjectionString elif ext == ".dfsu": source = DfsuFile.Open(meshfilename) projstr = source.Projection.WKTString filetype = source.DfsuFileType xn = source.X yn = source.Y # zn have to be Single precision?? zn = to_dotnet_float_array(np.array(list(source.Z))) nodecodes = source.Code elementtable = source.ElementTable builder = DfsuBuilder.Create(filetype) builder.SetNodes(xn, yn, zn, nodecodes) builder.SetElements(elementtable) builder.SetNodeIds(source.NodeIds) builder.SetElementIds(source.ElementIds) factory = DfsFactory() proj = factory.CreateProjection(projstr) builder.SetProjection(proj) builder.SetTimeInfo(system_start_time, dt) builder.SetZUnit(eumUnit.eumUmeter) if filetype != DfsuFileType.Dfsu2D: builder.SetNumberOfSigmaLayers(source.NumberOfSigmaLayers) for item in items: if item.name != "Z coordinate": builder.AddDynamicItem( item.name, eumQuantity.Create(item.type, item.unit)) try: dfs = builder.CreateFile(filename) except IOError: print("cannot create dfsu file: ", filename) deletevalue = dfs.DeleteValueFloat try: # Add data for all item-timesteps, copying from source for i in range(n_time_steps): for item in range(n_items): d = data[item][i, :] d[np.isnan(d)] = deletevalue darray = to_dotnet_float_array(d) dfs.WriteItemTimeStepNext(0, darray) dfs.Close() except Exception as e: print(e) dfs.Close() os.remove(filename)
def write( self, filename, data, start_time=None, dt=1, items=None, dx=1.0, dy=1.0, dz=1.0, x0=0, y0=0, coordinate=None, timeseries_unit=TimeStepUnit.SECOND, title=None, ): """ Write a dfs3 file Parameters ---------- filename: str Location to write the dfs3 file data: list[np.array] list of matrices, one for each item. Matrix dimension: time, z, y, x start_time: datetime, optional start date of type datetime. timeseries_unit: Timestep, optional TimeStep default TimeStep.SECOND dt: float, optional The time step. Therefore dt of 5.5 with timeseries_unit of TimeStep.MINUTE means 5 mins and 30 seconds. Default 1 items: list[ItemInfo], optional List of ItemInfo corresponding to a variable types (ie. Water Level). coordinate: ['UTM-33', 12.4387, 55.2257, 327] for UTM, Long, Lat, North to Y orientation. Note: long, lat in decimal degrees x0: float, optional Lower right position y0: float, optional Lower right position dx: float, optional length of each grid in the x direction (projection units) dy: float, optional length of each grid in the y direction (projection units) dz: float, optional length of each grid in the z direction (projection units) title: str, optional title of the dfs2 file. Default is blank. """ if title is None: title = "dfs3 file" n_time_steps = np.shape(data[0])[0] number_z = np.shape(data[0])[1] number_y = np.shape(data[0])[2] number_x = np.shape(data[0])[3] n_items = len(data) system_start_time = to_dotnet_datetime(start_time) # Create an empty dfs3 file object factory = DfsFactory() builder = Dfs3Builder.Create(title, "mikeio", 0) # Set up the header builder.SetDataType(1) builder.SetGeographicalProjection( factory.CreateProjectionGeoOrigin(*coordinate)) builder.SetTemporalAxis( factory.CreateTemporalEqCalendarAxis(timeseries_unit, system_start_time, 0, dt)) builder.SetSpatialAxis( factory.CreateAxisEqD3( eumUnit.eumUmeter, number_x, x0, dx, number_y, y0, dy, number_z, 0, dz, )) for i in range(n_items): builder.AddDynamicItem( items[i].name, eumQuantity.Create(items[i].type, items[i].unit), DfsSimpleType.Float, DataValueType.Instantaneous, ) try: builder.CreateFile(filename) except IOError: print("cannot create dfs3 file: ", filename) dfs = builder.GetFile() deletevalue = dfs.FileInfo.DeleteValueFloat # -1.0000000031710769e-30 for i in range(n_time_steps): for item in range(n_items): d = data[item][i] d[np.isnan(d)] = deletevalue d = np.flipud(d) darray = to_dotnet_float_array(d.reshape(d.size, 1)[:, 0]) dfs.WriteItemTimeStepNext(0, darray) dfs.Close()
def create(self, filename, data, start_time=None, dt=1, length_x=1, x0=0, coordinate=None, timeseries_unit=TimeStep.SECOND, variable_type=None, unit=None, names=None, title=None): """ Creates a dfs1 file filename: Location to write the dfs1 file data: list of matrices, one for each item. Matrix dimension: x, time start_time: start date of type datetime. timeseries_unit: TimeStep default TimeStep.SECOND dt: The time step (double based on the timeseries_unit). Therefore dt of 5.5 with timeseries_unit of minutes means 5 mins and 30 seconds. variable_type: Array integers corresponding to a variable types (ie. Water Level). Use dfsutil type_list to figure out the integer corresponding to the variable. unit: Array integers corresponding to the unit corresponding to the variable types The unit (meters, seconds), use dfsutil unit_list to figure out the corresponding unit for the variable. coordinate: ['UTM-33', 12.4387, 55.2257, 327] for UTM, Long, Lat, North to Y orientation. Note: long, lat in decimal degrees OR [TODO: Support not Local Coordinates ...] x0: Lower right position length_x: length of each grid in the x direction (meters) names: array of names (ie. array of strings). (can be blank) title: title of the dfs2 file (can be blank) """ if title is None: title = "" n_time_steps = np.shape(data[0])[0] number_x = np.shape(data[0])[1] n_items = len(data) if start_time is None: start_time = datetime.now() if coordinate is None: coordinate = ['LONG/LAT', 0, 0, 0] if names is None: names = [f"Item {i+1}" for i in range(n_items)] if variable_type is None: variable_type = [999] * n_items if unit is None: unit = [0] * n_items if not all(np.shape(d)[0] == n_time_steps for d in data): raise Warning( "ERROR data matrices in the time dimension do not all match in the data list. " "Data is list of matices [t, x]") if not all(np.shape(d)[1] == number_x for d in data): raise Warning( "ERROR data matrices in the X dimension do not all match in the data list. " "Data is list of matices [t, x]") if len(names) != n_items: raise Warning( "names must be an array of strings with the same number as matrices in data list" ) if len(variable_type) != n_items or not all( isinstance(item, int) and 0 <= item < 1e15 for item in variable_type): raise Warning( "type if specified must be an array of integers (enuType) with the same number of " "elements as data columns") if len(unit) != n_items or not all( isinstance(item, int) and 0 <= item < 1e15 for item in unit): raise Warning( "unit if specified must be an array of integers (enuType) with the same number of " "elements as data columns") if not type(start_time) is datetime: raise Warning("start_time must be of type datetime ") #if not isinstance(timeseries_unit, int): # raise Warning("timeseries_unit must be an integer. timeseries_unit: second=1400, minute=1401, hour=1402, " # "day=1403, month=1405, year= 1404See dfsutil options for help ") system_start_time = System.DateTime(start_time.year, start_time.month, start_time.day, start_time.hour, start_time.minute, start_time.second) # Create an empty dfs1 file object factory = DfsFactory() builder = Dfs1Builder.Create(title, 'mikeio', 0) # Set up the header builder.SetDataType(0) builder.SetGeographicalProjection( factory.CreateProjectionGeoOrigin(coordinate[0], coordinate[1], coordinate[2], coordinate[3])) builder.SetTemporalAxis( factory.CreateTemporalEqCalendarAxis(timeseries_unit, system_start_time, 0, dt)) builder.SetSpatialAxis( factory.CreateAxisEqD1(eumUnit.eumUmeter, number_x, x0, length_x)) for i in range(n_items): builder.AddDynamicItem( names[i], eumQuantity.Create(variable_type[i], unit[i]), DfsSimpleType.Float, DataValueType.Instantaneous) try: builder.CreateFile(filename) except IOError: print('cannot create dfs2 file: ', filename) dfs = builder.GetFile() deletevalue = dfs.FileInfo.DeleteValueFloat #-1.0000000031710769e-30 for i in range(n_time_steps): for item in range(n_items): d = data[item][i, :] d[np.isnan(d)] = deletevalue darray = Array[System.Single](np.array( d.reshape(d.size, 1)[:, 0])) dfs.WriteItemTimeStepNext(0, darray) dfs.Close()
# Add custom block # M21_Misc : {orientation (should match projection), drying depth, -900=has projection, land value, 0, 0, 0} cbdata = Array.CreateInstance(System.Single, 7) cbdata[0] = 327 cbdata[1] = 0.2 cbdata[2] = -900 cbdata[3] = 10 cbdata[4] = 0 cbdata[5] = 0 cbdata[6] = 0 builder.AddCustomBlock(factory.CreateCustomBlock('M21_Misc', cbdata)) # Add two items builder.AddDynamicItem( 'H Water Depth m', eumQuantity.Create(eumItem.eumIWaterLevel, eumUnit.eumUmeter), DfsSimpleType.Float, DataValueType.Instantaneous) builder.AddDynamicItem( 'P Flux m^3/s/m', eumQuantity.Create(eumItem.eumIFlowFlux, eumUnit.eumUm3PerSecPerM), DfsSimpleType.Float, DataValueType.Instantaneous) builder.AddDynamicItem( 'Q Flux m^3/s/m', eumQuantity.Create(eumItem.eumIFlowFlux, eumUnit.eumUm3PerSecPerM), DfsSimpleType.Float, DataValueType.Instantaneous) # Create the file ready for data builder.CreateFile(filename) # Add one static item, containing bathymetry data data = Array.CreateInstance(System.Single, xysize)
def create( self, filename, data, start_time=None, dt=1, items=None, length_x=1, x0=0, coordinate=None, timeseries_unit=TimeStep.SECOND, title=None, ): """ Create a dfs1 file Parameters ---------- filename: str Location to write the dfs1 file data: list[np.array] list of matrices, one for each item. Matrix dimension: x, time start_time: datetime, optional start datetime timeseries_unit: Timestep, optional TimeStep unit default TimeStep.SECOND dt: float The time step (double based on the timeseries_unit). Therefore dt of 5.5 with timeseries_unit of minutes means 5 mins and 30 seconds. items: list[ItemInfo], optional List of ItemInfo corresponding to a variable types (ie. Water Level). coordinate: ['UTM-33', 12.4387, 55.2257, 327] for UTM, Long, Lat, North to Y orientation. Note: long, lat in decimal degrees OR [TODO: Support not Local Coordinates ...] x0: Lower right position length_x: length of each grid in the x direction (meters) title: title of the dfs2 file (can be blank) """ if title is None: title = "" n_time_steps = np.shape(data[0])[0] number_x = np.shape(data[0])[1] n_items = len(data) if start_time is None: start_time = datetime.now() if coordinate is None: coordinate = ["LONG/LAT", 0, 0, 0] if items is None: items = [ItemInfo(f"temItem {i+1}") for i in range(n_items)] if not all(np.shape(d)[0] == n_time_steps for d in data): raise Warning( "ERROR data matrices in the time dimension do not all match in the data list. " "Data is list of matices [t, x]") if not all(np.shape(d)[1] == number_x for d in data): raise Warning( "ERROR data matrices in the X dimension do not all match in the data list. " "Data is list of matices [t, x]") if len(items) != n_items: raise Warning( "names must be an array of strings with the same number as matrices in data list" ) if not type(start_time) is datetime: raise Warning("start_time must be of type datetime ") system_start_time = System.DateTime( start_time.year, start_time.month, start_time.day, start_time.hour, start_time.minute, start_time.second, ) # Create an empty dfs1 file object factory = DfsFactory() builder = Dfs1Builder.Create(title, "mikeio", 0) # Set up the header builder.SetDataType(0) builder.SetGeographicalProjection( factory.CreateProjectionGeoOrigin(coordinate[0], coordinate[1], coordinate[2], coordinate[3])) builder.SetTemporalAxis( factory.CreateTemporalEqCalendarAxis(timeseries_unit, system_start_time, 0, dt)) builder.SetSpatialAxis( factory.CreateAxisEqD1(eumUnit.eumUmeter, number_x, x0, length_x)) for i in range(n_items): builder.AddDynamicItem( items[i].name, eumQuantity.Create(items[i].type, items[i].unit), DfsSimpleType.Float, DataValueType.Instantaneous, ) try: builder.CreateFile(filename) except IOError: print("cannot create dfs2 file: ", filename) dfs = builder.GetFile() deletevalue = dfs.FileInfo.DeleteValueFloat # -1.0000000031710769e-30 for i in range(n_time_steps): for item in range(n_items): d = data[item][i, :] d[np.isnan(d)] = deletevalue darray = Array[System.Single](np.array( d.reshape(d.size, 1)[:, 0])) dfs.WriteItemTimeStepNext(0, darray) dfs.Close()
def create( self, meshfilename, filename, data, start_time=None, dt=1, timeseries_unit=TimeStep.SECOND, variable_type=None, unit=None, names=None, title=None, ): n_items = len(data) n_time_steps = np.shape(data[0])[0] if start_time is None: start_time = datetime.now() if names is None: names = [f"Item {i+1}" for i in range(n_items)] if variable_type is None: variable_type = [999] * n_items if unit is None: unit = [0] * n_items if title is None: title = "" system_start_time = System.DateTime( start_time.year, start_time.month, start_time.day, start_time.hour, start_time.minute, start_time.second, ) mesh = MeshFile.ReadMesh(meshfilename) # TODO support all types of Dfsu builder = DfsuBuilder.Create(DfsuFileType.Dfsu2D) # Setup header and geometry, copy from source file # zn have to be Single precision?? zn = Array[System.Single](list(mesh.Z)) builder.SetNodes(mesh.X, mesh.Y, zn, mesh.Code) builder.SetElements(mesh.ElementTable) factory = DfsFactory() proj = factory.CreateProjection(mesh.ProjectionString) builder.SetProjection(proj) builder.SetTimeInfo(system_start_time, dt) builder.SetZUnit(eumUnit.eumUmeter) for i in range(n_items): builder.AddDynamicItem( names[i], eumQuantity.Create(variable_type[i], unit[i]) ) try: dfs = builder.CreateFile(filename) except IOError: print("cannot create dfsu file: ", filename) deletevalue = dfs.DeleteValueFloat # Add data for all item-timesteps, copying from source for i in range(n_time_steps): for item in range(n_items): d = data[item][i, :] d[np.isnan(d)] = deletevalue darray = Array[System.Single](np.array(d.reshape(d.size, 1)[:, 0])) dfs.WriteItemTimeStepNext(0, darray) dfs.Close()
def create( self, meshfilename, filename, data, start_time=None, dt=1, timeseries_unit=TimeStep.SECOND, items=None, title=None, ): """Create a dfsu file Parameters ----------- meshfilename: str, full path to a valid mesh file filename: str full path to the new dfsu file data: list[np.array] list of matrices, one for each item. Matrix dimension: time, y, x start_time: datetime, optional start datetime, default is datetime.now() dt: float The time step. Therefore dt of 5.5 with timeseries_unit of TimeStep.MINUTE means 5 mins and 30 seconds. Default 1 timeseries_unit: TimeStep, optional default TimeStep.SECOND unit: list[ItemInfo], optional Name, item, unit, default is undefined title: str title of the dfsu file. Default is blank. """ n_items = len(data) n_time_steps = np.shape(data[0])[0] if start_time is None: start_time = datetime.now() if items is None: items = [ItemInfo(f"temItem {i+1}") for i in range(n_items)] if title is None: title = "" system_start_time = System.DateTime( start_time.year, start_time.month, start_time.day, start_time.hour, start_time.minute, start_time.second, ) mesh = MeshFile.ReadMesh(meshfilename) # TODO support all types of Dfsu builder = DfsuBuilder.Create(DfsuFileType.Dfsu2D) # Setup header and geometry, copy from source file # zn have to be Single precision?? zn = Array[System.Single](list(mesh.Z)) builder.SetNodes(mesh.X, mesh.Y, zn, mesh.Code) builder.SetElements(mesh.ElementTable) factory = DfsFactory() proj = factory.CreateProjection(mesh.ProjectionString) builder.SetProjection(proj) builder.SetTimeInfo(system_start_time, dt) builder.SetZUnit(eumUnit.eumUmeter) for item in items: builder.AddDynamicItem(item.name, eumQuantity.Create(item.type, item.unit)) try: dfs = builder.CreateFile(filename) except IOError: print("cannot create dfsu file: ", filename) deletevalue = dfs.DeleteValueFloat # Add data for all item-timesteps, copying from source for i in range(n_time_steps): for item in range(n_items): d = data[item][i, :] d[np.isnan(d)] = deletevalue darray = Array[System.Single](np.array( d.reshape(d.size, 1)[:, 0])) dfs.WriteItemTimeStepNext(0, darray) dfs.Close()
def create(self, filename, data, start_time=None, timeseries_unit=TimeStep.SECOND, dt=1, datetimes=None, variable_type=None, unit=None, names=None, title=None, data_value_type=None): """create creates a dfs0 file. filename: Full path and filename to dfs0 to be created. data: a numpy matrix start_time: start date of type datetime. timeseries_unit: Timestep default Timestep.SECOND dt: the time step. Therefore dt of 5.5 with timeseries_unit of minutes means 5 mins and 30 seconds. default to 1 variable_type: Array integers corresponding to a variable types (ie. Water Level). Use dfsutil type_list to figure out the integer corresponding to the variable. unit: Array integers corresponding to the unit corresponding to the variable types The unit (meters, seconds), use dfsutil unit_list to figure out the corresponding unit for the variable. names: array of names (ie. array of strings) title: title (string) data_value_type: DataValueType default DataValueType.INSTANTANEOUS """ if title is None: title = "dfs0 file" n_items = len(data) n_time_steps = np.shape(data[0])[0] if start_time is None: start_time = datetime.now() if names is None: names = [f"Item {i+1}" for i in range(n_items)] if variable_type is None: variable_type = [999] * n_items if unit is None: unit = [0] * n_items if names is not None and len(names) != n_items: raise Warning( "names must be an array of strings with the same number of elements as data columns" ) if len(variable_type) != n_items: raise Warning( "type if specified must be an array of integers (eumType) with the same number of " "elements as data columns") if len(unit) != n_items: raise Warning( "unit if specified must be an array of integers (eumType) with the same number of " "elements as data columns") if datetimes is None: equidistant = True if not type(start_time) is datetime: raise Warning("start_time must be of type datetime ") else: start_time = datetimes[0] equidistant = False #if not isinstance(timeseries_unit, int): # raise Warning("timeseries_unit must be an integer. See dfsutil options for help ") system_start_time = System.DateTime(start_time.year, start_time.month, start_time.day, start_time.hour, start_time.minute, start_time.second) factory = DfsFactory() builder = DfsBuilder.Create(title, 'DFS', 0) builder.SetDataType(1) builder.SetGeographicalProjection(factory.CreateProjectionUndefined()) if equidistant: builder.SetTemporalAxis( factory.CreateTemporalEqCalendarAxis(timeseries_unit, system_start_time, 0, dt)) else: builder.SetTemporalAxis( factory.CreateTemporalNonEqCalendarAxis( timeseries_unit, system_start_time)) builder.SetItemStatisticsType(StatType.RegularStat) for i in range(n_items): item = builder.CreateDynamicItemBuilder() if type is not None: item.Set(names[i], eumQuantity.Create(variable_type[i], unit[i]), DfsSimpleType.Float) else: item.Set(str(i), eumQuantity.Create(eumItem.eumIItemUndefined, 0), DfsSimpleType.Float) if data_value_type is not None: item.SetValueType(data_value_type[i]) else: item.SetValueType(DataValueType.Instantaneous) item.SetAxis(factory.CreateAxisEqD0()) builder.AddDynamicItem(item.GetDynamicItemInfo()) try: builder.CreateFile(filename) except IOError: print('cannot create dfso file: ', filename) dfs = builder.GetFile() delete_value = dfs.FileInfo.DeleteValueFloat for i in range(n_items): d = data[i] d[np.isnan(d)] = delete_value # COPY OVER THE DATA for it in range(n_time_steps): for ii in range(n_items): d = Array[System.Single](np.array(data[ii][it:it + 1])) if equidistant: dfs.WriteItemTimeStepNext(it, d) else: dt = (datetimes[it] - datetimes[0]).total_seconds() dfs.WriteItemTimeStepNext(dt, d) dfs.Close()