cleaning

app.py

@@ -113,7 +113,8 @@ import param
 import xarray as xr
 
 @pn.cache(max_items=32,policy='LRU',per_session=True)
-def load_csv(url):
+def load_csv():
+    url="https://data-eurogoship.ifremer.fr/data/table.csv"
     fs = fsspec.filesystem("https")
     with fs.open(url) as f:
         df = pd.read_csv(f,index_col=None)
@@ -121,12 +122,15 @@ def load_csv(url):
     return df
 
 @pn.cache(max_items=4,policy='LRU',per_session=True)
-def load_bathymetry(url):
+def load_bathymetry():
+    url="https://data-eurogoship.ifremer.fr/bathymetrie/bathy6min.nc"
     fs = fsspec.filesystem("https")
     return xr.open_dataset(fs.open(url), decode_times=False, use_cftime=True)
 
 @pn.cache(max_items=16,policy='LRU',per_session=True)
-def load_netCDF(file_path):
+def load_netCDF(selected_file):
+    data_dir = "https://data-eurogoship.ifremer.fr/copy_seadatanet/"
+    file_path = os.path.join(data_dir, selected_file)
     fs = fsspec.filesystem("https")
     ds = (
                 xr.open_dataset(
@@ -137,21 +141,32 @@ def load_netCDF(file_path):
                 .set_xindex("PROFZ")
                 .set_xindex("TIME")
             )
+    ds = ds.where(
+            (ds.VCUR_SEADATANET_QC == 49)
+            & (ds.UCUR_SEADATANET_QC == 49)
+            #& (ds.WCUR_SEADATANET_QC == 49)
+            #& (ds.ECUR_SEADATANET_QC == 49)
+           # & (ds.PGOOD_SEADATANET_QC == 49)
+            #& (ds.ECI_SEADATANET_QC == 49)
+            #& (ds.BOTTOM_DEPTH_SEADATANET_QC == 49)
+           # & (ds.BATHY_SEADATANET_QC == 49)
+            & (ds.USHIP_SEADATANET_QC == 49)
+            & (ds.VSHIP_SEADATANET_QC == 49),
+            drop=False)
+    ds = ds[
+                [
+                    "TIME",
+                    "USHIP", "VSHIP", "BATHY", "BOTTOM_DEPTH",
+                    "UCUR", "VCUR",
+#                    "ROLL", "PITCH", "TR_TEMP", "HEADING", "U_BOTTOM", "V_BOTTOM",
+#                    "WCUR", "ECUR", "PGOOD", "ECI", "UTIDE", "VTIDE",
+                ]
+            ]
     return fix_time(ds)
 
-
-
-
-
-
-
 class SADCP_Viewer(param.Parameterized):
-    #file_csv = "https://data-eurogoship.ifremer.fr/data/table.csv"
-    #file = fs.open(file_csv)
-    df = load_csv("https://data-eurogoship.ifremer.fr/data/table.csv")
-    bathy = load_bathymetry("https://data-eurogoship.ifremer.fr/bathymetrie/bathy6min.nc")
-    #df = pd.read_csv(file, index_col=None).sort_values(by="year")
-    # df = pd.read_csv("table.csv", index_col=None).sort_values(by="year")
+    df = load_csv()
+    bathy = load_bathymetry()
     file_names = df["file_name"].tolist()
     years = sorted(df["year"].unique())
 
@@ -250,55 +265,29 @@ class SADCP_Viewer(param.Parameterized):
                 ]
             )
 
-            data_dir = "https://data-eurogoship.ifremer.fr/copy_seadatanet/"
-            file_path = os.path.join(data_dir, selected_file)
-            self.ds=load_netCDF(file_path)
-            #file_path = fs.open(file_path)
-            #self.ds = (
-                #xr.open_dataset(
-                    #file_path, decode_cf=True, decode_times=False, engine="scipy"
-                #)
-               # .squeeze()
-               # .set_coords(["LONGITUDE", "LATITUDE", "TIME", "PROFZ"])
-            #@.set_xindex("PROFZ")
-               # .set_xindex("TIME")
-           # )
-
-            self.ds = self.ds.where(
-            (self.ds.VCUR_SEADATANET_QC == 49)
-            & (self.ds.UCUR_SEADATANET_QC == 49)
-            #& (self.ds.WCUR_SEADATANET_QC == 49)
-            #& (self.ds.ECUR_SEADATANET_QC == 49)
-           # & (self.ds.PGOOD_SEADATANET_QC == 49)
-            #& (self.ds.ECI_SEADATANET_QC == 49)
-            #& (self.ds.BOTTOM_DEPTH_SEADATANET_QC == 49)
-           # & (self.ds.BATHY_SEADATANET_QC == 49)
-            & (self.ds.USHIP_SEADATANET_QC == 49)
-            & (self.ds.VSHIP_SEADATANET_QC == 49),
-            drop=False)
-            self.ds = self.ds[
-                [
-                    "USHIP",
-                    "VSHIP",
-                    "ROLL",
-                    "PITCH",
-                    "TR_TEMP",
-                    "HEADING",
-                    "U_BOTTOM",
-                    "V_BOTTOM",
-                    "UCUR",
-                    "VCUR",
-                    "WCUR",
-                    "ECUR",
-                    "PGOOD",
-                    "ECI",
-                    "BATHY",
-                    "UTIDE",
-                    "VTIDE",
-                    "BOTTOM_DEPTH",
-                    "TIME",
-                ]
-            ]
+            self.ds=load_netCDF(selected_file)
+
+#            self.ds = self.ds.where(
+#            (self.ds.VCUR_SEADATANET_QC == 49)
+#            & (self.ds.UCUR_SEADATANET_QC == 49)
+#            #& (self.ds.WCUR_SEADATANET_QC == 49)
+#            #& (self.ds.ECUR_SEADATANET_QC == 49)
+#           # & (self.ds.PGOOD_SEADATANET_QC == 49)
+#            #& (self.ds.ECI_SEADATANET_QC == 49)
+#            #& (self.ds.BOTTOM_DEPTH_SEADATANET_QC == 49)
+#           # & (self.ds.BATHY_SEADATANET_QC == 49)
+#            & (self.ds.USHIP_SEADATANET_QC == 49)
+#            & (self.ds.VSHIP_SEADATANET_QC == 49),
+#            drop=False)
+#            self.ds = self.ds[
+#                [
+#                    "TIME",
+#                    "USHIP", "VSHIP", "BATHY", "BOTTOM_DEPTH",
+#                    "UCUR", "VCUR",
+#                    "ROLL", "PITCH", "TR_TEMP", "HEADING", "U_BOTTOM", "V_BOTTOM",
+#                    "WCUR", "ECUR", "PGOOD", "ECI", "UTIDE", "VTIDE",
+#                ]
+#            ]
 
 
             lon_range = (