def get_plot(self, var, colorscale="Viridis",datascale="linear", ellipse=False):
'''
Return a plotly figure object for the available plot types set in set_plot()..
colorscale = Viridis [default], Cividis, BlueRed or Rainbow
'''
self.gridSize=len(self._height)*len(self._lat)*len(self._lon)
print(f'set_plot::colorscale={colorscale}, datascale={datascale}')
print(f'Run: {self.runname}')
#Set some text strings
txtbot=f"Model: GITM, dt={self.dt:.4f} hrs, "+\
f"dlat={self.dlat:.1f} deg, dlon={self.dlon:.1f} deg, dz={self.dz:.1f} km."
#{self.gridSize} volume cells,
#set plot variables
xint, yint, nx, ny, kamodo_plot, xlabel, ylabel, xformat, yformat, \
zformat, xunit, yunit, txttop, txtbar, result = RPlot.set_plotvar(self, datascale, var)
if 'TimeLon' in self.plottype:
plot_flip = True
elif 'TimeLat' in self.plottype and self.nDim==4:
plot_flip = True
else:
plot_flip = False
#get plot with chosen settings
fig = RPlot.heatplot2D(xint, yint, plot_flip, nx, ny, result, datascale, kamodo_plot,
xlabel, ylabel, colorscale, txtbar, xformat, yformat, zformat,
xunit, yunit, txttop, txtbot, ellipse=ellipse)
return fig
def get_plot(self,
var,
colorscale="Viridis",
datascale="linear",
ellipse=False):
'''
Return a plotly figure object for the available plot types set in set_plot()..
colorscale = Viridis [default], Cividis, BlueRed or Rainbow
'''
#need to determine elat/elon vs lat/lon dependence here with dependencies
arg_dict = self.variables[var]['xvec']
if 'elon' in arg_dict.keys():
self.dLON, self.nLON = self.delon, len(self._elon)
else:
self.dLON, self.nLON = self.dlon, len(self._lon)
if 'elat' in arg_dict.keys():
self.dLAT, self.nLAT = self.delat, len(
self._elat) #electric field latitude
else:
self.dLAT, self.nLAT = self.dlat, len(self._lat)
self.gridSize = self.nLAT * self.nLON * self.numZ
print(f'set_plot::colorscale={colorscale}, datascale={datascale}')
print(f'Runname: {self.runname}')
#Set some text strings
txtbot=f"Model=CTIPe, dt={self.dt} hrs, dlat={self.dLAT} deg, "+\
f"dlon={self.dLON} deg, dz={self.dz} {self.dzunit}" #{self.gridSize} volume cells,
#set plot variables
xint, yint, nx, ny, kamodo_plot, xlabel, ylabel, xformat, yformat, \
zformat, xunit, yunit, txttop, txtbar, result = RPlot.set_plotvar(self, datascale, var)
if 'TimeLon' in self.plottype:
plot_flip = True
elif 'TimeLat' in self.plottype and self.nDim == 4:
plot_flip = True
else:
plot_flip = False
#get plot with chosen settings
fig = RPlot.heatplot2D(xint,
yint,
plot_flip,
nx,
ny,
result,
datascale,
kamodo_plot,
xlabel,
ylabel,
colorscale,
txtbar,
xformat,
yformat,
zformat,
xunit,
yunit,
txttop,
txtbot,
ellipse=ellipse)
return fig
def get_plot(self,
var,
colorscale="Viridis",
datascale="linear",
ellipse=False):
'''
Return a plotly figure object for the available plot types set in set_plot()..
colorscale = Viridis [default], Cividis, BlueRed or Rainbow
'''
#need to determine mlat/mlon vs lat/lon and ilev/lev/mlev dependence here with dependencies
arg_dict = self.variables[var]['xvec']
if 'mlat' in arg_dict.keys():
self.dLON, self.nLON = self.dmlon, len(self._mlon)
self.dLAT, self.nLAT = self.dmlat, len(self._mlat)
self.dH, self.nH = self.dimlev, len(self._milev)
else:
self.dLON, self.nLON = self.dlon, len(self._lon)
self.dLAT, self.nLAT = self.dlat, len(self._lat)
#will eventually need logic here and elsewhere to deal with multiple ilev types******************
self.gridSize = self.nLAT * self.nLON * self.numZ
print(f'set_plot::colorscale={colorscale}, datascale={datascale}')
print(f'Run: {self.runname}')
#Set some text strings
txtbot=f"Model: TIEGCM, dt={self.dt:.4f} hrs, "+\
f"dlat={self.dlat:.1f} deg, dlon={self.dlon:.1f} deg, dz={self.dz:.1f} {self.dzunit}."
#{self.gridSize} volume cells,
#set plot variables
xint, yint, nx, ny, kamodo_plot, xlabel, ylabel, xformat, yformat, \
zformat, xunit, yunit, txttop, txtbar, result = RPlot.set_plotvar(self, datascale, var)
if 'TimeLon' in self.plottype:
plot_flip = True
elif 'TimeLat' in self.plottype and self.nDim == 4:
plot_flip = True
else:
plot_flip = False
#get plot with chosen settings
fig = RPlot.heatplot2D(xint,
yint,
plot_flip,
nx,
ny,
result,
datascale,
kamodo_plot,
xlabel,
ylabel,
colorscale,
txtbar,
xformat,
yformat,
zformat,
xunit,
yunit,
txttop,
txtbot,
ellipse=ellipse)
return fig