32 lines
1.1 KiB
Python
32 lines
1.1 KiB
Python
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 |