def __init__(self, ncfile, **kwargs):
"""
Initialise the suntides class
See sunpy.Spatial class for list of kwargs
"""
self.__dict__.update(kwargs)
Spatial.__init__(self, ncfile, **kwargs)
if self.hasVar("uc_amp"): # This check needs to be made more robust...
print "Loading existing harmonic data..."
self._loadVars()
else:
# Get the tidal fruequencies
if self.frqnames == None:
# This returns the default frequencies from the uspectra class
self.frq, self.frqnames = uspectra.getTideFreq(Fin=None)
else:
self.frq, self.frqnames = uspectra.getTideFreq(Fin=self.frqnames)
self.Ntide = len(self.frqnames)
self.reftime = datetime(self.baseyear, 1, 1)
self.Nt = len(self.time)
def __init__(self,ncfile,**kwargs):
Spatial.__init__(self,ncfile,gridvars=untrim_gridvars,griddims=untrim_griddims,**kwargs)
# Make sure the number of faces array is correct
self.nfaces = np.sum(self.cells.mask==False,axis=1)
self.xy = self.cellxy()
def __init__(self,ncfile,**kwargs):
"""
Initialise the suntides class
See sunpy.Spatial class for list of kwargs
"""
self.__dict__.update(kwargs)
Spatial.__init__(self,ncfile,**kwargs)
if self.hasVar('uc_amp'): # This check needs to be made more robust...
print('Loading existing harmonic data...')
self._loadVars()
else:
# Get the tidal fruequencies
if self.frqnames == None:
# This returns the default frequencies from the uspectra class
self.frq,self.frqnames = uspectra.getTideFreq(Fin=None)
else:
self.frq,self.frqnames = uspectra.getTideFreq(Fin=self.frqnames)
self.Ntide = len(self.frqnames)
self.reftime = datetime(self.baseyear,1,1)
self.Nt = len(self.time)
def __init__(self, ncfile, **kwargs):
Spatial.__init__(self,
ncfile,
gridvars=untrim_gridvars,
griddims=untrim_griddims,
**kwargs)
# Make sure the number of faces array is correct
self.nfaces = np.sum(self.cells.mask == False, axis=1)
self.xy = self.cellxy()
def on_open_file(self, event):
file_choices = "SUNTANS NetCDF (*.nc)|*.nc*|UnTRIM NetCDF (*.nc)|*.nc*|All Files (*.*)|*.*"
dlg = wx.FileDialog(self,
message="Open SUNTANS file...",
defaultDir=os.getcwd(),
defaultFile="",
wildcard=file_choices,
style=wx.FD_MULTIPLE)
if dlg.ShowModal() == wx.ID_OK:
self.plot_type = 'hydro'
path = dlg.GetPaths()
# Initialise the class
if dlg.GetFilterIndex() == 0 or dlg.GetFilterIndex() > 1: #SUNTANS
self.flash_status_message("Opening SUNTANS file: %s" % path)
try:
Spatial.__init__(self, path, _FillValue=self._FillValue)
except:
Spatial.__init__(self, path, _FillValue=-999999)
startvar = 'dv'
if dlg.GetFilterIndex() == 1: #UnTRIM
self.flash_status_message("Opening UnTRIMS file: %s" % path)
#Spatial.__init__(self,path,gridvars=untrim_gridvars,griddims=untrim_griddims)
UNTRIMSpatial.__init__(self, path)
startvar = 'Mesh2_face_depth'
# Populate the drop down menus
vnames = self.listCoordVars()
self.variable_list.SetItems(vnames)
# Update the time drop down list
if 'time' in self.__dict__:
self.timestr = [
datetime.strftime(tt, '%d-%b-%Y %H:%M:%S')
for tt in self.time
]
else:
# Assume that it is a harmonic-type file
self.timestr = self.nc.Constituent_Names.split()
self.time_list.SetItems(self.timestr)
# Draw the depth
if startvar in vnames:
self.variable = startvar
self.loadData()
self.create_figure()
def on_open_file(self, event):
file_choices = "SUNTANS NetCDF (*.nc)|*.nc*|UnTRIM NetCDF (*.nc)|*.nc*|All Files (*.*)|*.*"
dlg = wx.FileDialog(
self,
message="Open SUNTANS file...",
defaultDir=os.getcwd(),
defaultFile="",
wildcard=file_choices,
style= wx.FD_MULTIPLE)
if dlg.ShowModal() == wx.ID_OK:
self.plot_type='hydro'
path = dlg.GetPaths()
# Initialise the class
if dlg.GetFilterIndex() == 0 or dlg.GetFilterIndex() > 1: #SUNTANS
self.flash_status_message("Opening SUNTANS file: %s" % path)
try:
Spatial.__init__(self, path, _FillValue=self._FillValue)
except:
Spatial.__init__(self, path, _FillValue=-999999)
startvar='dv'
if dlg.GetFilterIndex()==1: #UnTRIM
self.flash_status_message("Opening UnTRIMS file: %s" % path)
#Spatial.__init__(self,path,gridvars=untrim_gridvars,griddims=untrim_griddims)
UNTRIMSpatial.__init__(self,path)
startvar='Mesh2_face_depth'
# Populate the drop down menus
vnames = self.listCoordVars()
self.variable_list.SetItems(vnames)
# Update the time drop down list
if self.__dict__.has_key('time'):
self.timestr = [datetime.strftime(tt,'%d-%b-%Y %H:%M:%S') for tt in self.time]
else:
# Assume that it is a harmonic-type file
self.timestr = self.nc.Constituent_Names.split()
self.time_list.SetItems(self.timestr)
# Draw the depth
if startvar in vnames:
self.variable=startvar
self.loadData()
self.create_figure()