def plot_variable(self,va,lv,**kwargs):
self.fig = plt.figure()
m, x, y = self.basemap_setup(nc,**kwargs)
# Scales, colourmaps in here
data = self.get(va,**kwargs)
if not 'scale' in kwargs:
m.contourf(x,y,data)
else:
m.contourf(x,y,data,N.arange(*kwargs['scale']))
if self.C.plot_titles:
title = utils.string_from_time('title',self.t)
plt.title(title)
if self.C.colorbar:
plt.colorbar(orientation='horizontal')
# SAVE FIGURE
datestr = utils.string_from_time('output',self.t)
lv_na = utils.get_level_naming(lv,va)
na = (va,lv_na,datestr)
self.fname = self.create_fname(*na)
# pdb.set_trace()
self.save(self.fig,self.output_root,self.fname)
plt.close()
def plot_variable(self,va,lv,**kwargs):
self.fig = plt.figure()
m, x, y = self.basemap_setup(nc,**kwargs)
# Scales, colourmaps in here
data = self.get(va,**kwargs)
if not 'scale' in kwargs:
m.contourf(x,y,data)
else:
m.contourf(x,y,data,N.arange(*kwargs['scale']))
if self.C.plot_titles:
title = utils.string_from_time('title',self.t)
plt.title(title)
if self.C.colorbar:
plt.colorbar(orientation='horizontal')
# SAVE FIGURE
datestr = utils.string_from_time('output',self.t)
lv_na = utils.get_level_naming(lv,va)
na = (va,lv_na,datestr)
self.fname = self.create_fname(*na)
# pdb.set_trace()
self.save(self.fig,self.output_root,self.fname)
plt.close()
def spaghetti(self, t, lv, va, contour, wrfouts, outpath, da=0, dom=0):
"""
wrfouts : list of wrfout files
Only change dom if there are multiple domains.
"""
m, x, y = self.basemap_setup()
time_idx = self.W.get_time_idx(t)
colours = utils.generate_colours(M, len(wrfouts))
# import pdb; pdb.set_trace()
if lv == 2000:
lv_idx = None
else:
print("Only support surface right now")
raise Exception
lat_sl, lon_sl = self.get_limited_domain(da)
slices = {'t': time_idx, 'lv': lv_idx, 'la': lat_sl, 'lo': lon_sl}
# self.ax.set_color_cycle(colours)
ctlist = []
for n, wrfout in enumerate(wrfouts):
self.W = WRFOut(wrfout)
data = self.W.get(va, slices)[0, ...]
# m.contour(x,y,data,levels=[contour,])
ct = m.contour(x,
y,
data,
colors=[
colours[n],
],
levels=[
contour,
],
label=wrfout.split('/')[-2])
print(
("Plotting contour level {0} for {1} from file \n {2}".format(
contour, va, wrfout)))
# ctlist.append(ct)
# self.ax.legend()
# labels = [w.split('/')[-2] for w in wrfouts]
# print labels
# self.fig.legend(handles=ctlist)
# plt.legend(handles=ctlist,labels=labels)
#labels,ncol=3, loc=3,
# bbox_to_anchor=[0.5,1.5])
datestr = utils.string_from_time('output', t, tupleformat=0)
lv_na = utils.get_level_naming(va, lv)
naming = ['spaghetti', va, lv_na, datestr]
if dom:
naming.append(dom)
fname = self.create_fname(*naming)
self.save(outpath, fname)
def plot_streamlines(self, va, lv, **kwargs):
fig = plt.figure()
# Scales, colourmaps in here
# Get data
u_all = self.get('U10', **kwargs)[:]
v_all = self.get('V10', **kwargs)[:]
u = self.cut_2D_array(u_all)
v = self.cut_2D_array(v_all)
m, x, y = self.basemap_setup(**kwargs)
"""
# Density depends on which version
# Wanting to match 3 km WRF (which had 2.5 density)
# Should work out dx, dy in __init__ method!
WRF_density = 2.5
WRF_res = 3.0
if self.version == 3:
RUC_res = 13.0
density = WRF_density * RUC_res/WRF_res
"""
density = 2.5
#x = N.array(range(u.shape[0]))
#y = N.array(range(v.shape[1]))
#pdb.set_trace()
#m.streamplot(x[self.x_dim/2,:],y[:,self.y_dim/2],u,v,density=density,linewidth=0.75,color='k')
#m.streamplot(x[y.shape[1]/2,:],y[:,x.shape[0]/2],u,v,density=density,linewidth=0.75,color='k')
#plt.streamplot(x[:,0],y[0,:],u,v)#,density=density,linewidth=0.75,color='k')
m.streamplot(y[0, :],
x[:, 0],
u,
v,
density=density,
linewidth=0.75,
color='k')
#m.quiver(x,y,u,v)
if self.C.plot_titles:
title = utils.string_from_time('title', self.t)
plt.title(title)
# SAVE FIGURE
datestr = utils.string_from_time('output', self.t)
lv_na = utils.get_level_naming(va, lv=lv)
na = (va, lv_na, datestr)
self.fname = self.create_fname(*na)
# pdb.set_trace()
self.save(fig, self.output_root, self.fname)
plt.close()
def plot_streamlines(self,va,lv,**kwargs):
fig = plt.figure()
# Scales, colourmaps in here
# Get data
u_all = self.get('U10',**kwargs)[:]
v_all = self.get('V10',**kwargs)[:]
u = self.cut_2D_array(u_all)
v = self.cut_2D_array(v_all)
m, x, y = self.basemap_setup(**kwargs)
"""
# Density depends on which version
# Wanting to match 3 km WRF (which had 2.5 density)
# Should work out dx, dy in __init__ method!
WRF_density = 2.5
WRF_res = 3.0
if self.version == 3:
RUC_res = 13.0
density = WRF_density * RUC_res/WRF_res
"""
density = 2.5
#x = N.array(range(u.shape[0]))
#y = N.array(range(v.shape[1]))
#pdb.set_trace()
#m.streamplot(x[self.x_dim/2,:],y[:,self.y_dim/2],u,v,density=density,linewidth=0.75,color='k')
#m.streamplot(x[y.shape[1]/2,:],y[:,x.shape[0]/2],u,v,density=density,linewidth=0.75,color='k')
#plt.streamplot(x[:,0],y[0,:],u,v)#,density=density,linewidth=0.75,color='k')
m.streamplot(y[0,:],x[:,0],u,v,density=density,linewidth=0.75,color='k')
#m.quiver(x,y,u,v)
if self.C.plot_titles:
title = utils.string_from_time('title',self.t)
plt.title(title)
# SAVE FIGURE
datestr = utils.string_from_time('output',self.t)
lv_na = utils.get_level_naming(va,lv=lv)
na = (va,lv_na,datestr)
self.fname = self.create_fname(*na)
# pdb.set_trace()
self.save(fig,self.output_root,self.fname)
plt.close()
def spaghetti(self,t,lv,va,contour,wrfouts,outpath,da=0,dom=0):
"""
wrfouts : list of wrfout files
Only change dom if there are multiple domains.
"""
m,x,y = self.basemap_setup()
time_idx = self.W.get_time_idx(t)
colours = utils.generate_colours(M,len(wrfouts))
# import pdb; pdb.set_trace()
if lv==2000:
lv_idx = None
else:
print("Only support surface right now")
raise Exception
lat_sl, lon_sl = self.get_limited_domain(da)
slices = {'t': time_idx, 'lv': lv_idx, 'la': lat_sl, 'lo': lon_sl}
# self.ax.set_color_cycle(colours)
ctlist = []
for n,wrfout in enumerate(wrfouts):
self.W = WRFOut(wrfout)
data = self.W.get(va,slices)[0,...]
# m.contour(x,y,data,levels=[contour,])
ct = m.contour(x,y,data,colors=[colours[n],],levels=[contour,],label=wrfout.split('/')[-2])
print("Plotting contour level {0} for {1} from file \n {2}".format(
contour,va,wrfout))
# ctlist.append(ct)
# self.ax.legend()
# labels = [w.split('/')[-2] for w in wrfouts]
# print labels
# self.fig.legend(handles=ctlist)
# plt.legend(handles=ctlist,labels=labels)
#labels,ncol=3, loc=3,
# bbox_to_anchor=[0.5,1.5])
datestr = utils.string_from_time('output',t,tupleformat=0)
lv_na = utils.get_level_naming(va,lv)
naming = ['spaghetti',va,lv_na,datestr]
if dom:
naming.append(dom)
fname = self.create_fname(*naming)
self.save(outpath,fname)
def plot_streamlines(self,lv,pt,outpath,da=0):
m,x,y = self.basemap_setup()
time_idx = self.W.get_time_idx(pt)
if lv==2000:
lv_idx = None
else:
print("Only support surface right now")
raise Exception
lat_sl, lon_sl = self.get_limited_domain(da)
slices = {'t': time_idx, 'lv': lv_idx, 'la': lat_sl, 'lo': lon_sl}
if lv == 2000:
u = self.W.get('U10',slices)[0,:,:]
v = self.W.get('V10',slices)[0,:,:]
else:
u = self.W.get('U',slices)[0,0,:,:]
v = self.W.get('V',slices)[0,0,:,:]
# pdb.set_trace()
#div = N.sum(N.dstack((N.gradient(u)[0],N.gradient(v)[1])),axis=2)*10**4
#vort = (N.gradient(v)[0] - N.gradient(u)[1])*10**4
#pdb.set_trace()
lv_na = utils.get_level_naming('wind',lv=2000)
m.streamplot(x[self.W.x_dim/2,:],y[:,self.W.y_dim/2],u,v,
density=2.5,linewidth=0.75,color='k')
#div_Cs = N.arange(-30,31,1)
#divp = m.contourf(x,y,vort,alpha=0.6)
#divp = m.contour(x,y,vort)
#plt.colorbar(divp,orientation='horizontal')
if self.C.plot_titles:
title = utils.string_from_time('title',pt)
m.title(title)
datestr = utils.string_from_time('output',pt)
na = ('streamlines',lv_na,datestr)
fname = self.create_fname(*na)
self.save(outpath,fname)
def plot2D(self,vrbl,t,lv,dom,outpath,bounding=0,smooth=1,
plottype='contourf',save=1,return_data=0):
"""
Inputs:
vrbl : variable string
t : date/time in (YYYY,MM,DD,HH,MM,SS) or datenum format
If tuple of two dates, it's start time and
end time, e.g. for finding max/average.
lv : level
dom : domain
outpath : absolute path to output
bounding : list of four floats (Nlim, Elim, Slim, Wlim):
Nlim : northern limit
Elim : eastern limit
Slim : southern limit
Wlim : western limit
smooth : smoothing. 1 is off. integer greater than one is
the degree of smoothing, to be specified.
save : whether to save to file
"""
# INITIALISE
self.fig.set_size_inches(8,8)
self.bmap,self.x,self.y = self.basemap_setup(smooth=smooth)
self.mplcommand = plottype
# Make sure smooth=0 is corrected to 1
# They are both essentially 'off'.
if smooth==0:
smooth = 1
# Get indices for time, level, lats, lons
if isinstance(t,collections.Sequence) and len(t)!=6:
# List of two dates, start and end
# pdb.set_trace()
it_idx = self.W.get_time_idx(t[0])
ft_idx = self.W.get_time_idx(t[1])
assert ft_idx > it_idx
tidx = slice(it_idx,ft_idx,None)
title = "range"
datestr = "range"
else:
tidx = self.W.get_time_idx(t)
title = utils.string_from_time('title',t)
datestr = utils.string_from_time('output',t)
# Until pressure coordinates are fixed TODO
lvidx = 0
latidx, lonidx = self.get_limited_domain(bounding,smooth=smooth)
# if vc == 'surface':
# lv_idx = 0
# elif lv == 'all':
# lv_idx = 'all'
# else:
# print("Need to sort other levels")
# raise Exception
# FETCH DATA
ncidx = {'t': tidx, 'lv': lvidx, 'la': latidx, 'lo': lonidx}
self.data = self.W.get(vrbl,ncidx)#,**vardict)
self.la_n = self.data.shape[-2]
self.lo_n = self.data.shape[-1]
# COLORBAR, CONTOURING
plotargs, plotkwargs = self.get_contouring(vrbl,lv)
# S = Scales(vrbl,lv)
# multiplier = S.get_multiplier(vrbl,lv)
# if S.cm:
# plotargs = (self.x,self.y,data.reshape((la_n,lo_n)),S.clvs)
# cmap = S.cm
# elif isinstance(S.clvs,N.ndarray):
# if plottype == 'contourf':
# plotargs = (self.x,self.y,data.reshape((la_n,lo_n)),S.clvs)
# cmap = plt.cm.jet
# else:
# plotargs = (self.x,self.y,data.reshape((la_n,lo_n)),S.clvs)
# else:
# plotargs = (self.x,self.y,data.reshape((la_n,lo_n)))
# cmap = plt.cm.jet
# pdb.set_trace()
if self.mplcommand == 'contourf':
# f1 = self.bmap.contourf(*plotargs,cmap=cmap)
f1 = self.bmap.contourf(*plotargs,**plotkwargs)
elif self.mplcommand == 'contour':
plotkwargs['colors'] = 'k'
f1 = self.bmap.contour(*plotargs,**kwargs)
scaling_func = M.ticker.FuncFormatter(lambda x, pos:'{0:d}'.format(int(x*multiplier)))
plt.clabel(f1, inline=1, fmt=scaling_func, fontsize=9, colors='k')
# LABELS, TITLES etc
if self.C.plot_titles:
plt.title(title)
if self.mplcommand == 'contourf' and self.C.colorbar:
plt.colorbar(f1,orientation='horizontal')
# SAVE FIGURE
# pdb.set_trace()
lv_na = utils.get_level_naming(vrbl,lv)
naming = [vrbl,lv_na,datestr]
if dom:
naming.append(dom)
self.fname = self.create_fname(*naming)
if save:
self.save(outpath,self.fname)
plt.close()
if isinstance(self.data,N.ndarray):
return self.data.reshape((self.la_n,self.lo_n))
