cleaning

app.py

@@ -164,6 +164,38 @@ def load_netCDF(selected_file):
             ]
     return fix_time(ds)
 
+def filter_df(sorted_df,selected_file):
+    dataframe = sorted_df[sorted_df["file_name"] == selected_file].drop(
+                columns=[
+                    "file_name",
+                    "title",
+                    "Conventions",
+                    "featureType",
+                    "date_update",
+                    "ADCP_beam_angle",
+                    "ADCP_ship_angle",
+                    "middle_bin1_depth",
+                    "heading_corr",
+                    "pitch_corr",
+                    "ampli_corr",
+                    "pitch_roll_used",
+                    "date_creation",
+                    "ADCP_type",
+                    "data_type",
+                ]
+            )
+    dataframe2 = sorted_df[sorted_df["file_name"] == selected_file].drop(
+                columns=[
+                    "file_name",
+                    "date_start",
+                    "date_end",
+                    "ADCP_frequency(kHz)",
+                    "bin_length(meter)",
+                    "year",
+                ]
+            )
+    return dataframe.transpose(), dataframe2.transpose()
+
 class SADCP_Viewer(param.Parameterized):
     df = load_csv()
     bathy = load_bathymetry()
@@ -235,61 +267,10 @@ class SADCP_Viewer(param.Parameterized):
             if not selected_file or selected_file not in files:
                 selected_file = files[0]
                 self.file_dropdown.value = selected_file
-            dataframe = sorted_df[sorted_df["file_name"] == selected_file].drop(
-                columns=[
-                    "file_name",
-                    "title",
-                    "Conventions",
-                    "featureType",
-                    "date_update",
-                    "ADCP_beam_angle",
-                    "ADCP_ship_angle",
-                    "middle_bin1_depth",
-                    "heading_corr",
-                    "pitch_corr",
-                    "ampli_corr",
-                    "pitch_roll_used",
-                    "date_creation",
-                    "ADCP_type",
-                    "data_type",
-                ]
-            )
-            dataframe2 = sorted_df[sorted_df["file_name"] == selected_file].drop(
-                columns=[
-                    "file_name",
-                    "date_start",
-                    "date_end",
-                    "ADCP_frequency(kHz)",
-                    "bin_length(meter)",
-                    "year",
-                ]
-            )
+            self.data_table.value, self.metadata_table.value  = filter_df(sorted_df,selected_file)
 
             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 = (
                 int(self.ds["LONGITUDE"].min().round() - 1),
                 int(self.ds["LONGITUDE"].max().round() + 1),
@@ -301,12 +282,6 @@ class SADCP_Viewer(param.Parameterized):
             self.depth1 = abs(self.ds.coords["PROFZ"])
             deph_range = (int(self.depth1.min()), int(self.depth1.max()))
 
-            # Ku_std_dataarray = xr.DataArray(Ku_std,dims='dim1')
-
-            # date=dataset.assign(TIME=date)
-
-            # dataset['TIME']=dataset['TIME'].assign_coords(dim=dataset.dims['MAXT'])
-
             self.longitude_slider.start = lon_range[0]
             self.longitude_slider.end = lon_range[1]
             self.longitude_slider.value = lon_range
@@ -329,11 +304,6 @@ class SADCP_Viewer(param.Parameterized):
 
             # self.update_plots()
             self.ds.close()
-            self.dataframe = dataframe.transpose()
-            self.dataframe2 = dataframe2.transpose()
-            # self.transposed_dataframe = dataframe.transpose()
-            self.data_table.value = self.dataframe
-            self.metadata_table.value = self.dataframe2
 
     @param.depends(
         "year_slider.value",