docs: use new time series names

Author: amorison

docs/cookbook/nura.md

@@ -28,7 +28,7 @@ for folder in pwd.glob('ra-*'):
     # get the value of the Rayleigh number
     ran.append(sdat.par.nml['refstate']['ra0'])
     # get the last value of the Nusselt number
-    nun.append(sdat.tseries['Nutop'].values[-1])
+    nun.append(sdat.tseries['Nu_top'].values[-1])
 
 ran = np.array(ran)
 nun = np.array(nun)

docs/cookbook/time.md

@@ -12,14 +12,14 @@ The command
 stagpy time
 ```
 
-will give you by default one figure with two subplots. The first subplot
+will give you by default one figure with three subplots. The first subplot
 contains the time series of the Nusselt number at the top and bottom
-boundaries, with a check of the energy balance. The corresponding line should
-be zero at all times for a perfect balance. The second subplot contains the
-time series of the mean temperature. This is equivalent to typing
+boundaries. The second subplot contains the time series of the rms velocity.
+The third subplot is the time series of the mean temperature. This is
+equivalent to typing
 
 ```sh title="shell"
-stagpy time -o Nubot,Nutop,ebalance.vrms
+stagpy time -o Nu_top,Nu_bot.Vrms.Tmean
 ```
 
 The command
@@ -32,7 +32,7 @@ will give you the same plots but starting at time 0.02 and ending at
 time 0.03.
 
 ```sh title="shell"
-stagpy time -o vrms-Tmin,Tmean,Tmax.dTdt
+stagpy time -o Vrms-Tmin,Tmean,Tmax.dTdt
 ```
 
 creates two figures. The first one contains the time series of the rms

docs/cookbook/vrmsra.md

@@ -23,7 +23,7 @@ for folder in pwd.glob('ra-*'):
     # Reference Rayleigh number as a power of ten
     ra0_log10 = int(np.log10(sdat.par.nml['refstate']['ra0']))
     # vrms time series object
-    vrms = sdat.tseries['vrms']
+    vrms = sdat.tseries['Vrms']
     # plot time vs vrms values
     plt.plot(vrms.time, vrms.values, label=f'$Ra=10^{{{ra0_log10}}}$')