Plots With PyVista - Revision history

Martin.turbet at 09:42, 24 March 2023

2023-03-24T09:42:52Z

2023-03-09T10:16:19Z

2022-10-21T07:50:32Z

2022-09-06T07:36:24Z

2022-09-06T07:32:53Z

2022-09-06T07:31:33Z

2022-09-06T07:28:53Z

2022-09-06T07:24:31Z

2022-09-05T10:30:44Z

2022-09-05T10:30:28Z

@@ Line 6: / Line 6: @@
 * PyVista (https://docs.pyvista.org/getting-started/installation.html)
-ps: the diagfi.nc file as well as the Jupyter notebook are provided here: https://web.lmd.jussieu.fr/~mturbet/PyVista_GCM_plot_tutorial/
+ps: the diagfi.nc file as well as the Jupyter notebook are provided here: https://web.lmd.jussieu.fr/~mturbet/FILES/PyVista_GCM_plot_tutorial/
 ps2: the diagfi.nc file was produced following the quick install & run tutorial that you can follow here: https://lmdz-forge.lmd.jussieu.fr/mediawiki/Planets/index.php/Quick_Install_and_Run

← Older revision		Revision as of 10:16, 9 March 2023
Line 417:		Line 417:

	Last words: Do not hesitate to send us your best visuals so that we can enrich our GCM plot gallery! Do not hesitate as well to update this page with additional features of PyVista :)		Last words: Do not hesitate to send us your best visuals so that we can enrich our GCM plot gallery! Do not hesitate as well to update this page with additional features of PyVista :)
		+
		+	[[Category:Generic-Model]]

@@ Line 389: / Line 389: @@
 print('FINISHED')
 </syntaxhighlight>
 Last words: Do not hesitate to send us your best visuals so that we can enrich our GCM plot gallery! Do not hesitate as well to update this page with additional features of PyVista :)

← Older revision		Revision as of 07:36, 6 September 2022
Line 389:		Line 389:
	print('FINISHED')		print('FINISHED')
	</syntaxhighlight>		</syntaxhighlight>
		+
		+	Last words: Do not hesitate to send us your best visuals so that we can enrich our GCM plot gallery! Do not hesitate as well to update this page with additional features of PyVista :)

@@ Line 287: / Line 287: @@
          for j in range(0,len(lon_GCM)-1,1):
              for k in range(0,len(alt_GCM),1):
-                 scalar_ice[i,j,k]=ice1[i_time,k,i,j]
+                 scalar_ice[i,j,k]=scalar_ice[i,j,k]+ice1[i_time,k,i,j]/len(Time_GCM)
 nlev = len(alt_GCM)+1

@@ Line 233: / Line 233: @@
 table_level[2]=0.
 for i_time in range(0,len(Time_GCM),1):
-     # Scalar data for the clouds
+     for i in range(0,len(lat_GCM),1):
-    scalar_cloud = h2o_ice_col1[i_time,:,0:(len(lon_GCM)-1)]
+        for j in range(0,len(lon_GCM)-1,1):
 # 3D cloud layer

@@ Line 160: / Line 160: @@
 <syntaxhighlight lang="python">
 freq_call_wind=2 # used to change the frequency of wind pattern
 MULT_FACTOR_ZWIND=100. # scaling factor of vertical wind so that we can see it in the plot
@@ Line 165: / Line 167: @@
 i_alt=13 # altitude of the wind layer (in the GCM data)
 for i_time in range(0,len(Time_GCM),1):
-     # Scalar data for the winds
+     for i in range(0,len(lat_GCM),1):
-    scalar_u_wind = u1[i_time,i_alt,:,0:(len(lon_GCM)-1)]
+        for j in range(0,len(lon_GCM)-1,1):
-    scalar_v_wind = v1[i_time,i_alt,:,0:(len(lon_GCM)-1)]
+            scalar_u_wind[i,j]=scalar_u_wind[i,j]+u1[i_time,i_alt,i,j]/len(Time_GCM)
-    scalar_w_wind = w1[i_time,i_alt,:,0:(len(lon_GCM)-1)]
+            scalar_v_wind[i,j]=scalar_v_wind[i,j]+v1[i_time,i_alt,i,j]/len(Time_GCM)
 inv_axes = [*range(scalar_u_wind[::freq_call_wind,::freq_call_wind].ndim)[::-1]]

@@ Line 100: / Line 100: @@
 grid_scalar1 = pv.grid_from_sph_coords(xx_bounds, yy_bounds, surface_level)
 for i_time in range(0,len(Time_GCM),1):
-     # Scalar data for the surface
+     for i in range(0,len(lat_GCM),1):
-    scalar_surface = tsurf1[i_time,:,0:(len(lon_GCM)-1)]
+        for j in range(0,len(lon_GCM)-1,1):
 grid_scalar1.cell_arrays["example"] = np.array(scalar_surface).swapaxes(-2, -1).ravel("C")

← Older revision		Revision as of 10:30, 5 September 2022
Line 7:		Line 7:

	ps: the diagfi.nc file as well as the Jupyter notebook are provided here: https://web.lmd.jussieu.fr/~mturbet/PyVista_GCM_plot_tutorial/		ps: the diagfi.nc file as well as the Jupyter notebook are provided here: https://web.lmd.jussieu.fr/~mturbet/PyVista_GCM_plot_tutorial/
		+
	ps2: the diagfi.nc file was produced following the quick install & run tutorial that you can follow here: https://lmdz-forge.lmd.jussieu.fr/mediawiki/Planets/index.php/Quick_Install_and_Run		ps2: the diagfi.nc file was produced following the quick install & run tutorial that you can follow here: https://lmdz-forge.lmd.jussieu.fr/mediawiki/Planets/index.php/Quick_Install_and_Run