def __call__(self, **params):
p = ParamOverrides(self, params)
name = p.plot_template.keys().pop(0)
plot = make_template_plot(p.plot_template,
p.sheet.views.Maps,
p.sheet.xdensity,
p.sheet.bounds,
p.normalize,
name=p.plot_template[name])
fig = plt.figure(figsize=(5, 5))
if plot:
bitmap = plot.bitmap
isint = plt.isinteractive(
) # Temporarily make non-interactive for plotting
plt.ioff() # Turn interactive mode off
plt.imshow(bitmap.image, origin='lower', interpolation='nearest')
plt.axis('off')
for (t, pref, sel, c) in p.overlay:
v = plt.flipud(p.sheet.views.Maps[pref].view()[0])
if (t == 'contours'):
plt.contour(v, [sel, sel], colors=c, linewidths=2)
if (t == 'arrows'):
s = plt.flipud(p.sheet.views.Maps[sel].view()[0])
scale = int(np.ceil(np.log10(len(v))))
X = np.array([x for x in xrange(len(v) / scale)])
v_sc = np.zeros((len(v) / scale, len(v) / scale))
s_sc = np.zeros((len(v) / scale, len(v) / scale))
for i in X:
for j in X:
v_sc[i][j] = v[scale * i][scale * j]
s_sc[i][j] = s[scale * i][scale * j]
plt.quiver(scale * X,
scale * X,
-np.cos(2 * np.pi * v_sc) * s_sc,
-np.sin(2 * np.pi * v_sc) * s_sc,
color=c,
edgecolors=c,
minshaft=3,
linewidths=1)
p.title = '%s overlaid with %s at time %s' % (plot.name, pref,
topo.sim.timestr())
if isint: plt.ion()
p.filename_suffix = "_" + p.sheet.name
self._generate_figure(p)
return fig
def get_array(self,vname):
"""
Return a given array from the output file. Must be returned as a
2D array with top to bottom orientation (like an image).
"""
v=self.f.variables[vname]
v=pylab.flipud(v)
return v
def get_array(self,vname):
"""
Return a single time slice of a variable from a Netcdf file.
"""
v=self.f.variables[vname]
v=v[self.istep,:,:]
v=pylab.flipud(v)
return v
def get_array(self,vname):
'''Return a single time slice of a variable from a WRF output file.'''
v=self.f.variables[vname]
v=v[self.istep,:,:].squeeze()
if self.isfiregrid(vname):
v=v[:-self.sry(),:-self.srx()]
v=pylab.flipud(v)
if vname == 'FGRNHFX' or vname == 'GRNHFX':
v[:]=v*0.239005736
return v
def get_array(self, vname):
'''Return a single time slice of a variable from a WRF output file.'''
v = self.f.variables[vname]
v = v[self.istep, :, :].squeeze()
if self.isfiregrid(vname):
v = v[:-self.sry(), :-self.srx()]
v = pylab.flipud(v)
if vname == 'FGRNHFX' or vname == 'GRNHFX':
v[:] = v * 0.239005736
return v
def __call__(self, **params):
p=ParamOverrides(self,params)
name=p.plot_template.keys().pop(0)
plot=make_template_plot(p.plot_template,
p.sheet.views.Maps, p.sheet.xdensity,p.sheet.bounds,
p.normalize,name=p.plot_template[name])
fig = plt.figure(figsize=(5,5))
if plot:
bitmap=plot.bitmap
isint=plt.isinteractive() # Temporarily make non-interactive for plotting
plt.ioff() # Turn interactive mode off
plt.imshow(bitmap.image,origin='lower',interpolation='nearest')
plt.axis('off')
for (t,pref,sel,c) in p.overlay:
v = plt.flipud(p.sheet.views.Maps[pref].view()[0])
if (t=='contours'):
plt.contour(v,[sel,sel],colors=c,linewidths=2)
if (t=='arrows'):
s = plt.flipud(p.sheet.views.Maps[sel].view()[0])
scale = int(np.ceil(np.log10(len(v))))
X = np.array([x for x in xrange(len(v)/scale)])
v_sc = np.zeros((len(v)/scale,len(v)/scale))
s_sc = np.zeros((len(v)/scale,len(v)/scale))
for i in X:
for j in X:
v_sc[i][j] = v[scale*i][scale*j]
s_sc[i][j] = s[scale*i][scale*j]
plt.quiver(scale*X, scale*X, -np.cos(2*np.pi*v_sc)*s_sc,
-np.sin(2*np.pi*v_sc)*s_sc, color=c,
edgecolors=c, minshaft=3, linewidths=1)
p.title='%s overlaid with %s at time %s' %(plot.name,pref,topo.sim.timestr())
if isint: plt.ion()
p.filename_suffix="_"+p.sheet.name
self._generate_figure(p)
return fig
def get_array(self,vname):
'''Return a given array from the output file. Must be returned as a
2D array with top to bottom orientation (like an image).'''
v=self.f.variables[vname]
v=pylab.flipud(v)
return v
def get_array(self, vname):
'''Return a single time slice of a variable from a WRF output file.'''
v = self.f.variables[vname]
v = v[self.istep, :, :]
v = pylab.flipud(v)
return v
def get_array(self,vname):
'''Return a single time slice of a variable from a WRF output file.'''
v=self.f.variables[vname]
v=v[self.istep,:,:]
v=pylab.flipud(v)
return v
