NTC and Barbados updates

EWR_Data/.idea/EWR_Data.iml

@@ -5,4 +5,7 @@
     <orderEntry type="inheritedJdk" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
+  <component name="PyDocumentationSettings">
+    <option name="renderExternalDocumentation" value="true" />
+  </component>
 </module>

Mustique/.idea/Mustique.iml

@@ -4,7 +4,7 @@
     <content url="file://$MODULE_DIR$">
       <excludeFolder url="file://$MODULE_DIR$/data" />
     </content>
-    <orderEntry type="inheritedJdk" />
+    <orderEntry type="jdk" jdkName="Python 3.8 (BairdBase)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
   <component name="PyDocumentationSettings">

NTC_DFM/ADCP_Plot_v4_AJMR.py

@@ -16,7 +16,7 @@ gp.io.file.fiona.drvsupport.supported_drivers['KML'] = 'rw'
 
 import scipy as sp
 import scipy.ndimage
-from astropy.convolution import Gaussian2DKernel
+#from astropy.convolution import Gaussian2DKernel
 import contextily as ctx
 import os
 from shapely.geometry import Point
@@ -28,7 +28,7 @@ dataPath = '//srv-ott3/Projects/11934.201 Newtown Creek TPP – Privileged and C
 df = pd.read_excel('//srv-ott3/Projects/11934.201 Newtown Creek TPP – Privileged and Confidential/03_Data/02_Physical/05 Currents/NC_CurrentMeter_All_Phase1_all_data_2013_07_16/NC_CurrentMeter_All_Phase1_all_mobile_2013_05_02.xlsx',
                  sheet_name='mag_all_mobile')
 
-#convert data to geodataframe
+# Convert to geodataframe
 gdf = gp.GeoDataFrame(df, geometry=gp.points_from_xy(df.Longitude, df.Latitude, crs="EPSG:4326"))
 
 #convert data to CRS of D3D
@@ -55,7 +55,7 @@ transects = gdf['transect'].unique()
 
 kernel = Gaussian2DKernel(x_stddev=0.25)
 
-for transect_id in transects:
+for transect_id in range(1, 2): #transects:
     # Select a given trasect
     tMask = (gdf['transect']==transect_id)
     # Remove rows without locations
@@ -372,6 +372,11 @@ gdf_wl_NGG2 = gp.GeoDataFrame(df_wl_NGG2,
                              np.ones([len(df_wl_NGG2), 1]) * gdf_gaugeLoc['geometry'].y[3]), crs="EPSG:4326")
 gdf_wl_NGG2.geometry = gdf_wl_NGG2.geometry.to_crs("EPSG:32118")
 
+gdf_wl_FFG.to_csv('//srv-ott3/Projects/11934.201 Newtown Creek TPP – Privileged and Confidential/03_Data/02_Physical/00_ProcessingCode/NetCDF/Gauge/FieldFacility.csv')
+gdf_wl_NGG1.to_csv('//srv-ott3/Projects/11934.201 Newtown Creek TPP – Privileged and Confidential/03_Data/02_Physical/00_ProcessingCode/NetCDF/Gauge/NationalGrid1.csv')
+gdf_wl_NGG2.to_csv('//srv-ott3/Projects/11934.201 Newtown Creek TPP – Privileged and Confidential/03_Data/02_Physical/00_ProcessingCode/NetCDF/Gauge/NationalGrid2.csv')
+
+
 # %%  Plot Water Level Data
 fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(6, 4))