Change to verificate image and generate all videos

.gitignore

@@ -9,3 +9,4 @@ Data/*
 DataF/*
 DataOriginal/*
 DataVieja/*
+3image2video/Videos.zip

2nc2image/ExtractImage.py

@@ -202,7 +202,7 @@ def ProcessAllImage(ssp,model,Colorpalete,ExportDirectory,DataDirectory):
 
 ssp=["ssp245","ssp370","ssp585"]
 model=("BCC-CSM2-MR","CESM2","CanESM5","EC-Earth3","IPSL-CM6A-LR","MIROC6","MRI-ESM2-0","NorESM2-MM")#,"ensemble5","ensemble8")
-Colorpalete=["RdYlBu",'Spectral','ocean',"coolwarm",]
+Colorpalete=["RdYlBu",'Spectral','ocean',"coolwarm"]
 ExportDirectory="img/"
 DataDirectory="../Data/"
 

2nc2image/Verif.py

@@ -0,0 +1,21 @@
+import os
+import glob
+ssp=["ssp245","ssp370","ssp585"]
+model=("BCC-CSM2-MR","CESM2","CanESM5","EC-Earth3","IPSL-CM6A-LR","MIROC6","MRI-ESM2-0","NorESM2-MM","ensemble5","ensemble8")
+Colorpalete=["RdYlBu",'Spectral','ocean',"coolwarm","noaa"]
+ExportDirectory="img/"
+DataDirectory="../Data/"
+listEval=[]
+for i in ssp:
+    for j in model:
+        Var="DHW"
+        ff=DataDirectory+"%s_%s_%s_DHW.nc"%(Var,i,j)
+        for CM in Colorpalete:
+            for countyear in range(115):
+                year=1986
+                Evaluado=ExportDirectory+"%s_%s"%(CM,ff.split("/")[-1].replace(".nc","_%s.png"%(year+countyear)))
+                listEval.append(Evaluado)
+A1=set(listEval)
+for name in glob.glob(ExportDirectory+"*.png"): 
+    if name not in A1:
+        print(name) 

3image2video/0ColormapNoaa.py

@@ -1,9 +1,11 @@
 import xarray as xr
 from PIL import Image, ImageDraw, ImageFont
 import os
-import os
 import moviepy.video.io.ImageSequenceClip
-
+Var="DHW"
+ssp=("ssp245","ssp370","ssp585")
+model=("BCC-CSM2-MR","CESM2","CanESM5","IPSL-CM6A-LR","MIROC6","NorESM2-MM","MRI-ESM2-0","EC-Earth3","ensemble5","ensemble8")
+Colormaps=['noaa']
 def calculategetValuesColormap(nc2,year):#*
     """ Calculate values of colormap
 
@@ -45,7 +47,6 @@ def textdraw(back_im,text,x,y,color,size=18,colormap=False):
 
 def ProcessAllImage(ssp,model,Colormap):
     cc=0
-    Var="DHW"
     for i in ssp:
         for j in model:
             ff="../Data/%s_%s_%s_DHW.nc"%(Var,i,j)
@@ -98,7 +99,7 @@ def ProcessAllImage(ssp,model,Colormap):
             for year in range(1986,2101):
                 ListY.append('./SinCoralN/%s_%s_%s_%s_DHW_%s.png'%(Colormap,Var,i,j,year))
             movie_clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(ListY, 2)
-            movie_clip.write_videofile("Videos/Animated_%s_%s_%s_%s_OFF"%(Colormap,Var,i,j)+".avi",codec="rawvideo")
+            movie_clip.write_videofile("Videos/Animated_%s_%s_%s_%s_OFF"%(Colormap,Var,i,j)+".webm")
 
 
 
@@ -107,22 +108,9 @@ def ProcessAllImage(ssp,model,Colormap):
                 #break
             #break
         #break
-    
-
-ssp=("ssp245","ssp370","ssp585")
-#model=("ensemble5","ensemble8")
-model=("ensemble5","ensemble8","BCC-CSM2-MR","CESM2","CanESM5","EC-Earth3","IPSL-CM6A-LR","MIROC6","MRI-ESM2-0","NorESM2-MM")
-Colormaps=["noaa"]
 for Colormap in Colormaps:
     ProcessAllImage(ssp,model,Colormap)
 
-
-import moviepy.video.io.ImageSequenceClip
-
-Var="DHW"
-ssp=("ssp245","ssp370","ssp585")
-model=("ensemble5","ensemble8","BCC-CSM2-MR","CESM2","CanESM5","EC-Earth3","IPSL-CM6A-LR","MIROC6","MRI-ESM2-0","NorESM2-MM")
-Colormaps=["noaa"]
 for Colormap in Colormaps:
     for i in ssp:
         for j in model:

3image2video/0colormap.py

@@ -2,7 +2,10 @@ import xarray as xr
 from PIL import Image, ImageDraw, ImageFont
 import os
 import moviepy.video.io.ImageSequenceClip
-
+Var="DHW"
+ssp=("ssp245","ssp370","ssp585")
+model=("BCC-CSM2-MR","CESM2","CanESM5","IPSL-CM6A-LR","MIROC6","NorESM2-MM","MRI-ESM2-0","EC-Earth3","ensemble5","ensemble8")
+Colormaps=['Spectral','ocean',"coolwarm","RdYlBu"]
 def calculategetValuesColormap(nc2,year):#*
     """ Calculate values of colormap
 
@@ -53,18 +56,14 @@ def ProcessAllImage(ssp,model,Colormap):
     Var="DHW"
     for i in ssp:
         for j in model:
-        	
             ff="../Data/%s_%s_%s_DHW.nc"%(Var,i,j)
-            
-            print(ff)
-            try:
             print(ff)
             nc = xr.open_dataset(ff, decode_coords="all")
+            try:
+                print(ff)   
             except:
                 pass
             for countyear in range(len(nc.time)):
-
-
                 #try:
                 nc2=nc.DHW_q99
                 year=int(nc.time[countyear].values)
@@ -73,7 +72,6 @@ def ProcessAllImage(ssp,model,Colormap):
                 if isFile:
                     print(" Ya existe "+ path)
                     continue
-
                 #print(ff,year)
                 Min,Max,q1,q50,q25,q75,q99=calculategetValuesColormap(nc2,year)
                 #print(Min,Max,q1,q50,q25,q75,q99)
@@ -114,8 +112,6 @@ def ProcessAllImage(ssp,model,Colormap):
                 x4=(x+x2)/2
                 back_im=textdraw(back_im,str(q25),x4,y,(205, 205, 205),12,True)                   
                 back_im.save('SinCoralN/%s_%s_%s_%s_DHW_%s.png'%(Colormap,Var,i,j,year), quality=95)
-            
-
             ListY=[]
             path="Videos/Animated_%s_%s_%s_%s_OFF"%(Colormap,Var,i,j)+".webm"
             isFile = os.path.isfile(path)
@@ -126,24 +122,16 @@ def ProcessAllImage(ssp,model,Colormap):
                 ListY.append('./SinCoralN/%s_%s_%s_%s_DHW_%s.png'%(Colormap,Var,i,j,year))
             movie_clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(ListY, 2)
             movie_clip.write_videofile("./Videos/Animated_%s_%s_%s_%s_OFF"%(Colormap,Var,i,j)+".webm")
-
                 #except:
                 #   print(3432)
                 #break
             #break
         #break
-    
-
-ssp=("ssp245","ssp370","ssp585")
-model=("BCC-CSM2-MR","CESM2","CanESM5","EC-Earth3","IPSL-CM6A-LR","MIROC6","MRI-ESM2-0","NorESM2-MM","ensemble5","ensemble8",)
-Colormaps=['Spectral','ocean',"coolwarm","RdYlBu"]
 for Colormap in Colormaps:
     ProcessAllImage(ssp,model,Colormap)
 
 
-import xarray as xr
+
-from PIL import Image, ImageDraw, ImageFont
-import os
 
 
 # for e in os.walk('./SinCoralN'):
@@ -183,11 +171,7 @@ for file in e[2]:
     final2.save("./ConCoralN/"+file, quality=95)
     
 
-import moviepy.video.io.ImageSequenceClip
+
-Var="DHW"
-ssp=("ssp245","ssp370","ssp585")
-model=("BCC-CSM2-MR","CESM2","CanESM5","IPSL-CM6A-LR","MIROC6","NorESM2-MM","MRI-ESM2-0","EC-Earth3")
-Colormaps=['Spectral','ocean',"coolwarm","RdYlBu"]
 for Colormap in Colormaps:
     for i in ssp:
         for j in model:

3image2video/SoloVideo.py

@@ -0,0 +1,34 @@
+import moviepy.video.io.ImageSequenceClip
+import os
+Var="DHW"
+ssp=("ssp585")
+model=("BCC-CSM2-MR","CESM2","CanESM5","IPSL-CM6A-LR","MIROC6","NorESM2-MM","MRI-ESM2-0","EC-Earth3","ensemble5","ensemble8")
+Colormaps=["RdYlBu"]#'Spectral','ocean',"coolwarm",
+for Colormap in Colormaps:
+    for i in ssp:
+        for j in model:
+            ListY=[]
+            path="Videos/Animated_%s_%s_%s_%s_ON"%(Colormap,Var,i,j)+".webm"
+            isFile = os.path.isfile(path)
+            if isFile:
+                print(" Ya existe "+ path)
+                continue
+            for year in range(1986,2101):
+                ListY.append('./ConCoralN/%s_%s_%s_%s_DHW_%s.png'%(Colormap,Var,i,j,year))
+            print("%s_%s_%s_%s_ON"%(Colormap,Var,i,j))    
+            movie_clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(ListY, 2)
+            movie_clip.write_videofile(path)
+            
+Var="DHW"
+ssp=("ssp245","ssp370","ssp585")
+model=("ensemble5","ensemble8","BCC-CSM2-MR","CESM2","CanESM5","EC-Earth3","IPSL-CM6A-LR","MIROC6","MRI-ESM2-0","NorESM2-MM")
+Colormaps=["noaa"]
+for Colormap in Colormaps:
+    for i in ssp:
+        for j in model:
+            ListY=[]
+            for year in range(1986,2101):
+                ListY.append('ConCoralN/%s_%s_%s_%s_DHW_%s.png'%(Colormap,Var,i,j,year))
+            movie_clip = moviepy.video.io.ImageSequenceClip.ImageSequenceClip(ListY, 2)
+            movie_clip.write_videofile("Videos/Animated_%s_%s_%s_%s_ON"%(Colormap,Var,i,j)+".webm")
+

3image2video/verif.py

@@ -0,0 +1,32 @@
+import os
+import glob
+ssp=["ssp245","ssp370","ssp585"]
+model=("BCC-CSM2-MR","CESM2","CanESM5","EC-Earth3","IPSL-CM6A-LR","MIROC6","MRI-ESM2-0","NorESM2-MM","ensemble5","ensemble8")
+Colorpalete=["RdYlBu",'Spectral','ocean',"coolwarm","noaa"]
+
+ExportDirectory="/media/mario/723054df-b11b-4b93-a42e-c71cfc03fbfc/mario/Documentos/Ocean/ScuenciaOrganizadaPre/3image2video/Videos/"
+DataDirectory="../Data/"
+listEval=[]
+for i in ssp:
+    for j in model:
+        Var="DHW"
+        ff=DataDirectory+"%s_%s_%s.nc"%(Var,i,j)
+        for CM in Colorpalete:
+            for countyear in ["ON","OFF"]:
+
+                Evaluado=ExportDirectory+"Animated_%s_%s"%(CM,ff.split("/")[-1].replace(".nc","_%s.webm"%(countyear)))
+                #print(Evaluado)
+                listEval.append(Evaluado)
+A1=set(listEval)
+print("Videos no esperados")
+VideosQueestan=[]
+for name in glob.glob(ExportDirectory+"*.webm"): 
+    VideosQueestan.append(name)
+    if name not in A1:
+        print(name) 
+        pass
+print("videos que faltan")
+for name in A1: 
+    if name not in VideosQueestan:
+        print(name) 
+        pass