Example #1
0
    def __init__(self, filename, ax=[], tx=[], debug=False):
        ''' Initialize FVCOM class.'''
        self._debug = debug
        if debug:
            print '-Debug mode on-'

        #Loading pickle file
        if filename.endswith('.p'):
            f = open(filename, "rb")
            data = pkl.load(f)
            self._origin_file = data['Origin']
            self.History = data['History']
            if debug: print "Turn keys into attributs"
            self.Grid = ObjectFromDict(data['Grid'])
            self.Variables = ObjectFromDict(data['Variables'])
            try:
                if self._origin_file.startswith('http'):
                    #Look for file through OpenDAP server
                    print "Retrieving data through OpenDap server..."
                    self.Data = open_url(data['Origin'])
                    #Create fake attribut to be consistent with the rest of the code
                    self.Data.variables = self.Data
                else:
                    #WB_Alternative: self.Data = sio.netcdf.netcdf_file(filename, 'r')
                    #WB_comments: scipy has causes some errors, and even though can be
                    #             faster, can be unreliable
                    #self.Data = nc.Dataset(data['Origin'], 'r')
                    self.Data = netcdf.netcdf_file(data['Origin'],
                                                   'r',
                                                   mmap=True)
            except:  #TR: need to precise the type of error here
                print "the original *.nc file has not been found"
                pass

        #Loading netcdf file
        elif filename.endswith('.nc'):
            if filename.startswith('http'):
                #Look for file through OpenDAP server
                print "Retrieving data through OpenDap server..."
                self.Data = open_url(filename)
                #Create fake attribut to be consistent with the rest of the code
                self.Data.variables = self.Data
            else:
                #Look for file locally
                print "Retrieving data from " + filename + " ..."
                #WB_Alternative: self.Data = sio.netcdf.netcdf_file(filename, 'r')
                #WB_comments: scipy has causes some errors, and even though can be
                #             faster, can be unreliable
                #self.Data = nc.Dataset(filename, 'r')
                self.Data = netcdf.netcdf_file(filename, 'r', mmap=True)
            text = 'Created from ' + filename
            self._origin_file = filename
            #Metadata
            self.History = [text]
            # Calling sub-class
            print "Initialisation..."
            #print "This might take some time..."
            try:
                self.Grid = _load_grid(self.Data,
                                       ax,
                                       self.History,
                                       debug=self._debug)
                self.Variables = _load_var(self.Data,
                                           self.Grid,
                                           tx,
                                           self.History,
                                           debug=self._debug)
            except MemoryError:
                print '---Data too large for machine memory---'
                print 'Tip: use ax or tx during class initialisation'
                print '---  to use partial data'
                raise

        elif filename.endswith('.mat'):
            print "---Functionality not yet implemented---"
            sys.exit()
        else:
            print "---Wrong file format---"
            sys.exit()

        self.Plots = PlotsFvcom(self.Variables, self.Grid, self._debug)
        self.Util2D = FunctionsFvcom(self.Variables, self.Grid, self.Plots,
                                     self.History, self._debug)

        if self.Variables._3D:
            self.Util3D = FunctionsFvcomThreeD(self.Variables, self.Grid,
                                               self.Plots, self.Util2D,
                                               self.History, self._debug)
            self.Plots.vertical_slice = self.Util3D._vertical_slice
Example #2
0
    def __init__(self, filename, ax=[], tx=[], debug=False):
        """ Initialize FVCOM class."""
        self._debug = debug
        if debug: print '-Debug mode on-'
        #Force garbage collector when fvcom object created
        gc.collect()

        #Loading pickle file
        if filename.endswith('.p'):
            f = open(filename, "rb")
            try:
                data = pkl.load(f)
            except MemoryError:
                try:
                    data = Pkl.load(f)
                except KeyError:
                    data = pkl.load(f,2)
            self._origin_file = data['Origin']
            self.History = data['History']
            if debug: print "Turn keys into attributs"
            self.Grid = ObjectFromDict(data['Grid'])
            self.Variables = ObjectFromDict(data['Variables'])
            try:
                if self._origin_file.startswith('http'):
                    #Look for file through OpenDAP server
                    print "Retrieving data through OpenDap server..."
                    self.Data = open_url(data['Origin'])
                    #Create fake attribut to be consistent with the rest of the code
                    self.Data.variables = self.Data
                else:
                    #WB_Alternative: self.Data = sio.netcdf.netcdf_file(filename, 'r')
                    #WB_comments: scipy has causes some errors, and even though can be
                    #             faster, can be unreliable
                    if isfile(data['Origin']):
                        try:
                            self.Data = netcdf.netcdf_file(data['Origin'], 'r',mmap=True)
                            #due to mmap not coping with big array > 4Gib
                        except (OverflowError, TypeError, ValueError) as e:
                            self.Data = nc.Dataset(data['Origin'], 'r',
                                       format='NETCDF4_CLASSIC')
                    else:
                        print "the original *.nc file has not been found"
            except: #TR: need to precise the type of error here
                print "the original *.nc file has not been found"
                pass
        #Loading netcdf file
        elif filename.endswith('.nc'):
            if filename.startswith('http'):
                #Look for file through OpenDAP server
                print "Retrieving data through OpenDap server..."
                self.Data = open_url(filename)
                #Create fake attribut to be consistent with the rest of the code
                self.Data.variables = self.Data
            else:
                #Look for file locally
                print "Retrieving data from " + filename + " ..."
                #WB_Alternative: self.Data = sio.netcdf.netcdf_file(filename, 'r')
                #WB_comments: scipy has causes some errors, and even though can be
                #             faster, can be unreliable
                try:
                    self.Data = netcdf.netcdf_file(filename, 'r',mmap=True)
                    #due to mmap not coping with big array > 4Gib
                except (OverflowError, TypeError, ValueError) as e:
                    self.Data = nc.Dataset(filename, 'r', format='NETCDF4_CLASSIC')
            text = 'Created from ' + filename
            self._origin_file = filename
            #Metadata
            self.History = [text]
            # Calling sub-class
            print "Initialisation..."
            #print "This might take some time..."
            try:
                self.Grid = _load_grid(self.Data,
                                       ax,
                                       self.History,
                                       debug=self._debug)
                self.Variables = _load_var(self.Data,
                                           self.Grid,
                                           tx,
                                           self.History,
                                           debug=self._debug)
            except MemoryError:
                print '---Data too large for machine memory---'
                print 'Tip: use ax or tx during class initialisation'
                print '---  to use partial data'
                raise

        elif filename.endswith('.mat'):
            raise PyseidonError("---Functionality not yet implemented---")
        else:
            raise PyseidonError("---Wrong file format---")

        self.Plots = PlotsFvcom(self.Variables,
                                self.Grid,
                                self._debug)
        self.Util2D = FunctionsFvcom(self.Variables,
                                     self.Grid,
                                     self.Plots,
                                     self.History,
                                     self._debug)

        if self.Variables._3D:
            self.Util3D = FunctionsFvcomThreeD(self.Variables,
                                               self.Grid,
                                               self.Plots,
                                               self.Util2D,
                                               self.History,
                                               self._debug)
            self.Plots.vertical_slice = self.Util3D._vertical_slice

        ##Re-assignement of utility functions as methods
        #self.dump_profile_data = self.Plots._dump_profile_data_as_csv
        #self.dump_map_data = self.Plots._dump_map_data_as_csv

        return
Example #3
0
    def __init__(self, filename, ax=[], tx=[], debug=False):
        ''' Initialize FVCOM class.'''
        self._debug = debug
        if debug:
            print '-Debug mode on-'

        #Loading pickle file
        if filename.endswith('.p'):
            f = open(filename, "rb")
            data = pkl.load(f)
            self._origin_file = data['Origin']
            self.History = data['History']
            if debug: print "Turn keys into attributs"
            self.Grid = ObjectFromDict(data['Grid'])
            self.Variables = ObjectFromDict(data['Variables'])
            try:
                if self._origin_file.startswith('http'):
                    #Look for file through OpenDAP server
                    print "Retrieving data through OpenDap server..."
                    self.Data = open_url(data['Origin'])
                    #Create fake attribut to be consistent with the rest of the code
                    self.Data.variables = self.Data
                else:
                    #WB_Alternative: self.Data = sio.netcdf.netcdf_file(filename, 'r')
                    #WB_comments: scipy has causes some errors, and even though can be
                    #             faster, can be unreliable
                    #self.Data = nc.Dataset(data['Origin'], 'r')
                    self.Data = netcdf.netcdf_file(data['Origin'], 'r',mmap=True)
            except: #TR: need to precise the type of error here
                print "the original *.nc file has not been found"
                pass

        #Loading netcdf file         
        elif filename.endswith('.nc'):
            if filename.startswith('http'):
                #Look for file through OpenDAP server
                print "Retrieving data through OpenDap server..."
                self.Data = open_url(filename)
                #Create fake attribut to be consistent with the rest of the code
                self.Data.variables = self.Data
            else:
                #Look for file locally
                print "Retrieving data from " + filename + " ..."
                #WB_Alternative: self.Data = sio.netcdf.netcdf_file(filename, 'r')
                #WB_comments: scipy has causes some errors, and even though can be
                #             faster, can be unreliable
                #self.Data = nc.Dataset(filename, 'r')
                self.Data = netcdf.netcdf_file(filename, 'r',mmap=True)
            text = 'Created from ' + filename
            self._origin_file = filename
            #Metadata
            self.History = [text]
            # Calling sub-class
            print "Initialisation..."
            #print "This might take some time..."
            try:
                self.Grid = _load_grid(self.Data,
                                       ax,
                                       self.History,
                                       debug=self._debug)
                self.Variables = _load_var(self.Data,
                                           self.Grid,
                                           tx,
                                           self.History,
                                           debug=self._debug)
            except MemoryError:
                print '---Data too large for machine memory---'
                print 'Tip: use ax or tx during class initialisation'
                print '---  to use partial data'
                raise

        elif filename.endswith('.mat'):
            print "---Functionality not yet implemented---"
            sys.exit()
        else:
            print "---Wrong file format---"
            sys.exit()

        self.Plots = PlotsFvcom(self.Variables,
                                self.Grid,
                                self._debug)
        self.Util2D = FunctionsFvcom(self.Variables,
                                     self.Grid,
                                     self.Plots,
                                     self.History,
                                     self._debug)

        if self.Variables._3D:
            self.Util3D = FunctionsFvcomThreeD(self.Variables,
                                               self.Grid,
                                               self.Plots,
                                               self.Util2D,
                                               self.History,
                                               self._debug)
            self.Plots.vertical_slice = self.Util3D._vertical_slice