[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

.github/workflows/noise_processing.yml

@@ -5,10 +5,10 @@ on:
   # workflow_dispatch:
   schedule:
     - cron: '9 * * * *'
-    
+
   workflow_dispatch:
-  
-    
+
+
 jobs:
   process:
     runs-on: ubuntu-latest
@@ -27,7 +27,7 @@ jobs:
         python -m pip install orcasound_noise@git+https://github.com/orcasound/ambient-sound-analysis
         python -m pip install kaleido
 
- 
+
     - name: Install ffmpeg
       run: |
         sudo apt-get update
@@ -48,4 +48,3 @@ jobs:
       with:
           commit_message: Commit to Github
           file_pattern: 'img/*.png'
-

noise_processing.py

@@ -1,40 +1,36 @@
-import pandas as pd
-from orcasound_noise.pipeline.pipeline import NoiseAnalysisPipeline
-from orcasound_noise.utils import Hydrophone
 import datetime as dt
 import os
 
-import pandas as pd
 import matplotlib.pyplot as plt
-import pytz
-
-
-from orcasound_noise.pipeline.acoustic_util import plot_spec, plot_bb
-
-
+import pandas as pd
 import plotly.graph_objects as go
+import pytz
+from orcasound_noise.pipeline.acoustic_util import plot_bb, plot_spec
+from orcasound_noise.pipeline.pipeline import NoiseAnalysisPipeline
+from orcasound_noise.utils import Hydrophone
 
-#Example 1: Port Townsend, 1 Hz Frequency, 60-second samples
-if __name__ == '__main__':
-    pipeline = NoiseAnalysisPipeline(Hydrophone.PORT_TOWNSEND,
-                                     delta_f=10, bands=None,
-                                     delta_t=60, mode='safe')
+# Example 1: Port Townsend, 1 Hz Frequency, 60-second samples
+if __name__ == "__main__":
+    pipeline = NoiseAnalysisPipeline(
+        Hydrophone.PORT_TOWNSEND, delta_f=10, bands=None, delta_t=60, mode="safe"
+    )
 
 
-now = dt.datetime.now(pytz.timezone('US/Pacific'))
+now = dt.datetime.now(pytz.timezone("US/Pacific"))
 
-psd_path, broadband_path = pipeline.generate_parquet_file(now - dt.timedelta(hours = 6), 
-                                                          now - dt.timedelta(hours = 1), 
-                                                          upload_to_s3=False)
+psd_path, broadband_path = pipeline.generate_parquet_file(
+    now - dt.timedelta(hours=6), now - dt.timedelta(hours=1), upload_to_s3=False
+)
 
 
 psd_df = pd.read_parquet(psd_path)
 bb_df = pd.read_parquet(broadband_path)
 
 
 # Create a new directory because it does not exist
-if not os.path.exists('img'):
-   os.makedirs('img')
+if not os.path.exists("img"):
+    os.makedirs("img")
+
 
 def plot_spec(psd_df):
     """
@@ -48,17 +44,24 @@ def plot_spec(psd_df):
     """
 
     fig = go.Figure(
-        data=go.Heatmap(x=psd_df.index, y=psd_df.columns, z=psd_df.values.transpose(), colorscale='Viridis',
-                        colorbar={"title": 'Magnitude'}))
+        data=go.Heatmap(
+            x=psd_df.index,
+            y=psd_df.columns,
+            z=psd_df.values.transpose(),
+            colorscale="Viridis",
+            colorbar={"title": "Magnitude"},
+        )
+    )
     fig.update_layout(
         title="Hydrophone Power Spectral Density",
         xaxis_title="Time",
         yaxis_title="Frequency (Hz)",
-        legend_title="Magnitude"
+        legend_title="Magnitude",
     )
     fig.update_yaxes(type="log")
     fig.show()
-    return(fig)
+    return fig
+
 
 def plot_bb(bb_df):
     """
@@ -71,19 +74,17 @@ def plot_bb(bb_df):
     """
     plt.figure()
     plt.plot(bb_df)
-    plt.title('Relative Broadband Levels')
-    plt.xlabel('Time')
-    plt.ylabel('Relative Decibels')
-    plt.xticks(rotation = 45)
+    plt.title("Relative Broadband Levels")
+    plt.xlabel("Time")
+    plt.ylabel("Relative Decibels")
+    plt.xticks(rotation=45)
     # plt.show()
-    return(plt.gcf())
-
+    return plt.gcf()
 
 
 fig = plot_spec(psd_df)
-fig.write_image('img/psd.png')
-
+fig.write_image("img/psd.png")
 
 
 fig = plot_bb(bb_df)
-fig.savefig('img/broadband.png')
+fig.savefig("img/broadband.png")

tests/test_ooi.py

@@ -1,4 +1,5 @@
 """Unit tests for OOI workflow"""
+
 import datetime
 import os
 import shutil

tests/test_spectrograms.py

@@ -1,4 +1,5 @@
 """Unit tests for various util functions relating to spectrogram creation"""
+
 import os.path
 
 import matplotlib.pyplot as plt