Updating script/plotly_streamlit.py to correct pep8 violations

Used 'autopep8 --in-place --aggressive scripts/plotly_streamlit.py' as initial style fixes.

scripts/plotly_streamlit.py

@@ -42,6 +42,7 @@ def get_data(conn: Connection):
     df1 = pd.read_sql("SELECT * FROM detections", con=conn)
     return df1
 
+
 conn = get_connection(URI_SQLITE_DB)
 # Read in the cereal data
 # df = load_data()
@@ -51,7 +52,6 @@ df2['DateTime']=pd.to_datetime(df2['Date'] + " " + df2['Time'])
 df2 = df2.set_index('DateTime')
 
 
-
 # Filter on date range
 # Date as calendars
 # Start_Date = pd.to_datetime(st.sidebar.date_input('Which date do you want to start?', value = df2.index.min()))
@@ -68,7 +68,6 @@ Date_Slider = st.slider('Date Range',
                         )
 
 
-
 filt = (df2.index >= pd.Timestamp(Date_Slider[0])) & (df2.index <= pd.Timestamp(Date_Slider[1] + timedelta(days=1)))
 df2 = df2[filt]
 
@@ -108,11 +107,13 @@ df_counts=df2[filt].resample('D').count()
 
 fig = make_subplots(
     rows=3, cols=2,
-                    specs= [[{"type":"xy","rowspan":3}, {"type":"polar","rowspan":2}], [{"rowspan":1}, {"rowspan":1} ], [None, {"type":"xy","rowspan":1}]],
+    specs=[[{"type": "xy", "rowspan": 3}, {"type": "polar", "rowspan": 2}], [
+        {"rowspan": 1}, {"rowspan": 1}], [None, {"type": "xy", "rowspan": 1}]],
     subplot_titles=('<b>Top ' + str(top_N) + ' Species in Date Range ' + str(Date_Slider[0]) + ' to ' + str(Date_Slider[1]) + '</b>',
                     'Total Detect:' + str('{:,}'.format(sum(df_counts.Time))) +
                     '   Confidence Max:' + str('{:.2f}%'.format(max(df2[df2['Com_Name'] == specie]['Confidence']) * 100)) +
-                                    '   '+'   Median:'+str('{:.2f}%'.format(np.median(df2[df2['Com_Name']==specie]['Confidence'])*100))
+                    '   ' + '   Median:' +
+                    str('{:.2f}%'.format(np.median(df2[df2['Com_Name'] == specie]['Confidence']) * 100))
                     )
 )
 fig.layout.annotations[1].update(x=0.7, y=0.25, font_size=15)
@@ -147,15 +148,16 @@ fig.update_layout(
             rotation=-90,
             direction='clockwise',
             tickmode='array',
-            tickvals=[0,15,35,45,60,75,90,105,120,135,150,165,180,195,210,225,240,255,270,285,300,315,330,345],
-            ticktext=['12am','1am','2am','3am','4am','5am', '6am','7am','8am','9am','10am','11am','12pm','1pm','2pm','3pm','4pm','5pm', '6pm','7pm','8pm','9pm','10pm','11pm'],
+            tickvals=[0, 15, 35, 45, 60, 75, 90, 105, 120, 135, 150, 165,
+                      180, 195, 210, 225, 240, 255, 270, 285, 300, 315, 330, 345],
+            ticktext=['12am', '1am', '2am', '3am', '4am', '5am', '6am', '7am', '8am', '9am', '10am', '11am',
+                      '12pm', '1pm', '2pm', '3pm', '4pm', '5pm', '6pm', '7pm', '8pm', '9pm', '10pm', '11pm'],
             hoverformat="#%{theta}: <br>Popularity: %{percent} </br> %{r}"
         ),
     ),
 )
 
 
-
 daily = pd.crosstab(df2['Com_Name'], df2.index.date, dropna=False)
 
 fig.add_trace(go.Bar(x=daily.columns, y=daily.loc[specie]), row=3, col=2)