def hasz(self, v):
'''
True if variable has depth dimension (s_rho or s_w)
'''
dnames = netcdf.vdim(self.name, v)
return 's_rho' in dnames or 's_w' in dnames
def hasz(self,v):
'''
True if variable has depth dimension (s_rho or s_w)
'''
dnames=netcdf.vdim(self.name,v)
return 's_rho' in dnames or 's_w' in dnames
def hasz(self, v):
"""
True if variable has depth dimension (s_rho or s_w)
"""
dnames = netcdf.vdim(self.name, v)
return "s_rho" in dnames or "s_w" in dnames
def hast(self,v):
'''
True if variable has *time* dimension
'''
dnames=netcdf.vdim(self.name,v)
for d in dnames:
if d.find('time')>=0: return True
return False
def hast(self, v):
'''
True if variable has *time* dimension
'''
dnames = netcdf.vdim(self.name, v)
for d in dnames:
if d.find('time') >= 0: return True
return False
def hast(self, v):
"""
True if variable has *time* dimension
"""
dnames = netcdf.vdim(self.name, v)
for d in dnames:
if d.find("time") >= 0:
return True
return False
def var_at(self,v,_3d=True):
'''
returns location of the variable in the 2d/3d grid
Possible values are u,v,r(rho), p(psi)
If _3d, also checks if at w points
'''
dims=netcdf.vdim(self.name,v).keys()
if _3d and 's_w' in dims: return 'w'
elif 'xi_u' in dims or 'eta_u' in dims: return 'u'
elif 'xi_v' in dims or 'eta_v' in dims: return 'v'
elif 'xi_psi' in dims and 'eta_psi' in dims: return 'p'
elif 'xi_rho' in dims and 'eta_rho' in dims: return 'r'
return False
def var_at(self, v, _3d=True):
'''
returns location of the variable in the 2d/3d grid
Possible values are u,v,r(rho), p(psi)
If _3d, also checks if at w points
'''
dims = netcdf.vdim(self.name, v).keys()
if _3d and 's_w' in dims: return 'w'
elif 'xi_u' in dims or 'eta_u' in dims: return 'u'
elif 'xi_v' in dims or 'eta_v' in dims: return 'v'
elif 'xi_psi' in dims and 'eta_psi' in dims: return 'p'
elif 'xi_rho' in dims and 'eta_rho' in dims: return 'r'
return False
def vaxes(self,v):
'''
returns variables axes as string:
ex: 'vaxes('temp') is 'tzyx'
indicating time (t), vertical (z) and horizontal (y,x) dimensions
'''
dnames=netcdf.vdim(self.nc,v)
out=''
for d in dnames:
if d.find('time')>=0: out+='t'
elif d in ('s_rho','s_w'): out+='z'
if d.startswith('eta_'): out+='y'
if d.startswith('xi_'): out+='x'
return out
def var_at(self,v):##,_3d=True):
'''
returns location of the variable in the 2d/3d grid
Possible values are u,v,r(rho), p(psi)
If _3d, also checks if at w points
'''
dims=netcdf.vdim(self.nc,v).keys()
hLoc='r' # r,u,v
vLoc='r' # r,w
if 's_w' in dims: vLoc='w'
if 'xi_u' in dims or 'eta_u' in dims: hLoc='u' # or instead of and cos of agrif ...
elif 'xi_v' in dims or 'eta_v' in dims: hLoc='v'
elif 'xi_psi' in dims and 'eta_psi' in dims: hLoc='p'
return hLoc,vLoc
def vaxes(self,v):
'''
returns variables axes as string:
ex: 'vaxes('temp') is 'tzyx'
indicating time (t), vertical (z) and horizontal (y,x) dimensions
'''
dnames=netcdf.vdim(self.nc,v)
out=''
for d in dnames:
if d.find('time')>=0: out+='t'
elif d in ('s_rho','s_w'): out+='z'
if d.startswith('eta_'): out+='y'
if d.startswith('xi_'): out+='x'
return out
def var_at(self,v):##,_3d=True):
'''
returns location of the variable in the 2d/3d grid
Possible values are u,v,r(rho), p(psi)
If _3d, also checks if at w points
'''
dims=netcdf.vdim(self.nc,v).keys()
hLoc='r' # r,u,v
vLoc='r' # r,w
if 's_w' in dims: vLoc='w'
if 'xi_u' in dims or 'eta_u' in dims: hLoc='u' # or instead of and cos of agrif ...
elif 'xi_v' in dims or 'eta_v' in dims: hLoc='v'
elif 'xi_psi' in dims and 'eta_psi' in dims: hLoc='p'
return hLoc,vLoc
def var_at(self, v, _3d=True):
"""
returns location of the variable in the 2d/3d grid
Possible values are u,v,r(rho), p(psi)
If _3d, also checks if at w points
"""
dims = netcdf.vdim(self.name, v).keys()
if _3d and "s_w" in dims:
return "w"
elif "xi_u" in dims or "eta_u" in dims:
return "u"
elif "xi_v" in dims or "eta_v" in dims:
return "v"
elif "xi_psi" in dims and "eta_psi" in dims:
return "p"
elif "xi_rho" in dims and "eta_rho" in dims:
return "r"
return False