full raster-vector-extract

raster-vector-extract.py

@@ -25,7 +25,7 @@ def extract(raster, vector, layer, output = None):
     polys = ogr.Open(vrt)
     exact_extract(rast, polys, 'mean', output='gdal', output_options = {'filename' : output })
     return output
-    
+
 
 # -
 
@@ -48,6 +48,25 @@ rasters = [
 ]
 # extract(rasters[0], vector, layer) # just one
 
+# +
+# %%time
+
+# extract all the raster layers in parallel
 parallel_extract = delayed(extract)
 runner = Parallel(n_jobs=-1)
 runner(parallel_extract(i, vector, layer) for i in rasters)
+
+# +
+# bind columns into a single csv
+csv_files = list(Path.cwd().glob("*.csv"))
+
+import pandas as pd
+data = {}
+for file in csv_files:
+    df = pd.read_csv(file.name)
+    data[file.stem] = df['mean']
+
+pd.DataFrame(data).to_csv("pad_raster_means.csv")
+# -
+
+[file.unlink() for file in csv_files]