env and local proc

environment.yml

@@ -13,3 +13,9 @@ dependencies:
         - pandas
         - tqdm
         - geopy
+        - pyaml
+        - ioos_qc
+        - polars
+        - scikit-learn
+        - plotly
+        - pyarrow

glidertools_plots.py

@@ -18,7 +18,7 @@ def public_plots(nc, plots_dir):
     end = pd.to_datetime(ds.time.max().values)
     ds = ds.sel(time=slice(end - datetime.timedelta(days=60), end))
     # Apply flags from ioos
-    ds = apply_flags(ds, var_max_flags={"oxygen_concentration": 4, "cdom": 3})
+    ds = apply_flags(ds, var_max_flags={"oxygen_concentration": 4, "cdom": 4})
     # Prepare a variable of averaged time per profile. This is used in plotting later
     profile_time = ds.time.values.copy()
     profile_index = ds.profile_index
@@ -73,3 +73,8 @@ def public_plots(nc, plots_dir):
     plt.tight_layout()
     filename = plots_dir / f'SEA{ds.glider_serial}_M{ds.deployment_id}_gt.png'
     plt.savefig(filename, format='png', transparent=True)
+
+
+if __name__ == '__main__':
+    from pathlib import Path
+    public_plots(Path("/data/data_l0_pyglider/nrt/SEA76/M25/timeseries/mission_timeseries.nc"), Path("/home/callum/Downloads"))

gridded_plots.py

@@ -362,3 +362,8 @@ def make_map(nc, filename):
     _log.info(f"writing map to {filename_map}")
     fig.savefig(filename_map, format='png', transparent=True)
     return filename_map
+
+
+
+if __name__ == '__main__':
+    create_plots(Path("/data/data_l0_pyglider/nrt/SEA76/M25/gridfiles/mission_grid.nc"), Path("/home/callum/Downloads"), True)

pilot_plots.py

@@ -98,4 +98,4 @@ def battery_plots(combined_nav_file, out_dir):
 
 if __name__ == '__main__':
     from pathlib import Path
-    battery_plots(Path('/data/data_l0_pyglider/nrt/SEA76/M25/rawnc/Fibbla-rawgli.parquet'), '.')
+    battery_plots(Path('/data/data_l0_pyglider/nrt/SEA63/M73/rawnc/Fibbla-rawgli.parquet'), '.')