Updating script/daily_plot.py to satisfy pep8 style guide

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

scripts/daily_plot.py

@@ -12,7 +12,8 @@ userDir = os.path.expanduser('~')
 conn = sqlite3.connect(userDir + '/BirdNET-Pi/scripts/birds.db')
 df = pd.read_sql_query("SELECT * from detections", conn)
 cursor = conn.cursor()
-cursor.execute('SELECT * FROM detections WHERE Date = DATE(\'now\', \'localtime\')')
+cursor.execute(
+    'SELECT * FROM detections WHERE Date = DATE(\'now\', \'localtime\')')
 
 table_rows = cursor.fetchall()
 
@@ -37,17 +38,29 @@ df_plt_today = df_plt[df_plt['Date']==now.strftime("%Y-%m-%d")]
 readings = 10
 
 plt_top10_today = (df_plt_today['Com_Name'].value_counts()[:readings])
-df_plt_top10_today = df_plt_today[df_plt_today.Com_Name.isin(plt_top10_today.index)]
+df_plt_top10_today = df_plt_today[df_plt_today.Com_Name.isin(
+    plt_top10_today.index)]
 
 # Set Palette for graphics
 pal = "Greens"
 
 # Set up plot axes and titles
-f, axs = plt.subplots(1, 2, figsize = (10, 4), gridspec_kw=dict(width_ratios=[3, 6]), facecolor='#77C487')
-plt.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=0, hspace=0)
+f, axs = plt.subplots(
+    1, 2, figsize=(
+        10, 4), gridspec_kw=dict(
+            width_ratios=[
+                3, 6]), facecolor='#77C487')
+plt.subplots_adjust(
+    left=None,
+    bottom=None,
+    right=None,
+    top=None,
+    wspace=0,
+    hspace=0)
 
 # generate y-axis order for all figures based on frequency
-freq_order = pd.value_counts(df_plt_top10_today['Com_Name']).iloc[:readings].index
+freq_order = pd.value_counts(
+    df_plt_top10_today['Com_Name']).iloc[:readings].index
 
 # make color for max confidence --> this groups by name and calculates max conf
 confmax = df_plt_top10_today.groupby('Com_Name')['Confidence'].max()
@@ -59,21 +72,28 @@ norm = plt.Normalize(confmax.values.min(), confmax.values.max())
 colors = plt.cm.Greens(norm(confmax))
 
 # Generate frequency plot
-plot=sns.countplot(y='Com_Name', data = df_plt_top10_today, palette = colors,  order=freq_order, ax=axs[0])
+plot = sns.countplot(
+    y='Com_Name',
+    data=df_plt_top10_today,
+    palette=colors,
+    order=freq_order,
+    ax=axs[0])
 
 
-
-
-#Try plot grid lines between bars - problem at the moment plots grid lines on bars - want between bars
+# Try plot grid lines between bars - problem at the moment plots grid
+# lines on bars - want between bars
 z = plot.get_ymajorticklabels()
-plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(),15)) for ticklabel in plot.get_yticklabels()], fontsize = 10)
+plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(), 15))
+                     for ticklabel in plot.get_yticklabels()], fontsize=10)
 plot.set(ylabel=None)
 plot.set(xlabel="Detections")
 
 
 # Generate crosstab matrix for heatmap plot
 
-heat = pd.crosstab(df_plt_top10_today['Com_Name'],df_plt_top10_today['Hour of Day'])
+heat = pd.crosstab(
+    df_plt_top10_today['Com_Name'],
+    df_plt_top10_today['Hour of Day'])
 # Order heatmap Birds by frequency of occurrance
 heat.index = pd.CategoricalIndex(heat.index, categories=freq_order)
 heat.sort_index(level=0, inplace=True)
@@ -84,7 +104,20 @@ heat_frame = pd.DataFrame(data=0, index=heat.index, columns = hours_in_day)
 heat = (heat + heat_frame).fillna(0)
 
 # Generatie heatmap plot
-plot = sns.heatmap(heat, norm=LogNorm(),  annot=True,  annot_kws={"fontsize":7}, fmt="g", cmap = pal , square = False, cbar=False, linewidths = 0.5, linecolor = "Grey", ax=axs[1], yticklabels = False)
+plot = sns.heatmap(
+    heat,
+    norm=LogNorm(),
+    annot=True,
+    annot_kws={
+        "fontsize": 7},
+    fmt="g",
+    cmap=pal,
+    square=False,
+    cbar=False,
+    linewidths=0.5,
+    linecolor="Grey",
+    ax=axs[1],
+    yticklabels=False)
 plot.set_xticklabels(plot.get_xticklabels(), rotation=0, size=7)
 
 # Set heatmap border
@@ -99,7 +132,8 @@ plt.suptitle("Top 10 Last Updated: "+ str(now.strftime("%Y-%m-%d %H:%M")))
 
 # Save combined plot
 userDir = os.path.expanduser('~')
-savename=userDir + '/BirdSongs/Extracted/Charts/Combo-'+str(now.strftime("%Y-%m-%d"))+'.png'
+savename = userDir + '/BirdSongs/Extracted/Charts/Combo-' + \
+    str(now.strftime("%Y-%m-%d")) + '.png'
 plt.savefig(savename)
 plt.show()
 plt.close()
@@ -107,18 +141,30 @@ plt.close()
 
 # Get Bottom detection frequency
 plt_Bot10_today = (df_plt_today['Com_Name'].value_counts()[-readings:])
-df_plt_Bot10_today = df_plt_today[df_plt_today.Com_Name.isin(plt_Bot10_today.index)]
+df_plt_Bot10_today = df_plt_today[df_plt_today.Com_Name.isin(
+    plt_Bot10_today.index)]
 
 # Set Palette for graphics
 pal = "Reds"
 
 # Set up plot axes and titles
 
-f, axs = plt.subplots(1, 2, figsize = (10, 4), gridspec_kw=dict(width_ratios=[3, 6]), facecolor='#77C487')
-plt.subplots_adjust(left=None, bottom=None, right=None, top=None, wspace=0, hspace=0)
+f, axs = plt.subplots(
+    1, 2, figsize=(
+        10, 4), gridspec_kw=dict(
+            width_ratios=[
+                3, 6]), facecolor='#77C487')
+plt.subplots_adjust(
+    left=None,
+    bottom=None,
+    right=None,
+    top=None,
+    wspace=0,
+    hspace=0)
 
 # generate y-axis order for all figures based on frequency
-freq_order = pd.value_counts(df_plt_Bot10_today['Com_Name']).iloc[-readings:].index
+freq_order = pd.value_counts(
+    df_plt_Bot10_today['Com_Name']).iloc[-readings:].index
 
 # make color for max confidence --> this groups by name and calculates max conf
 confmax = df_plt_Bot10_today.groupby('Com_Name')['Confidence'].max()
@@ -129,20 +175,27 @@ norm = plt.Normalize(confmax.values.min(), confmax.values.max())
 colors = plt.cm.Reds(norm(confmax))
 
 # Generate frequency plot
-plot=sns.countplot(y='Com_Name', data = df_plt_Bot10_today, palette = colors,  order=freq_order, ax=axs[0])
+plot = sns.countplot(
+    y='Com_Name',
+    data=df_plt_Bot10_today,
+    palette=colors,
+    order=freq_order,
+    ax=axs[0])
 
 
-
-
-#Try plot grid lines between bars - problem at the moment plots grid lines on bars - want between bars
+# Try plot grid lines between bars - problem at the moment plots grid
+# lines on bars - want between bars
 z = plot.get_ymajorticklabels()
-plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(),15)) for ticklabel in plot.get_yticklabels()], fontsize = 10)
+plot.set_yticklabels(['\n'.join(textwrap.wrap(ticklabel.get_text(), 15))
+                     for ticklabel in plot.get_yticklabels()], fontsize=10)
 plot.set(ylabel=None)
 plot.set(xlabel="Detections")
 
 # Generate crosstab matrix for heatmap plot
 
-heat = pd.crosstab(df_plt_Bot10_today['Com_Name'],df_plt_Bot10_today['Hour of Day'])
+heat = pd.crosstab(
+    df_plt_Bot10_today['Com_Name'],
+    df_plt_Bot10_today['Hour of Day'])
 # Order heatmap Birds by frequency of occurrance
 heat.index = pd.CategoricalIndex(heat.index, categories=freq_order)
 heat.sort_index(level=0, inplace=True)
@@ -153,7 +206,20 @@ heat_frame = pd.DataFrame(data=0, index=heat.index, columns = hours_in_day)
 heat = (heat + heat_frame).fillna(0)
 
 # Generatie heatmap plot
-plot = sns.heatmap(heat, norm=LogNorm(),  annot=True, fmt="g",  annot_kws={"fontsize":7}, cmap = pal , square = False, cbar=False, linewidths = 0.5, linecolor = "Grey", ax=axs[1], yticklabels = False)
+plot = sns.heatmap(
+    heat,
+    norm=LogNorm(),
+    annot=True,
+    fmt="g",
+    annot_kws={
+        "fontsize": 7},
+    cmap=pal,
+    square=False,
+    cbar=False,
+    linewidths=0.5,
+    linecolor="Grey",
+    ax=axs[1],
+    yticklabels=False)
 plot.set_xticklabels(plot.get_xticklabels(), rotation=0, size=7)
 
 # Set heatmap border
@@ -167,7 +233,8 @@ f.subplots_adjust(top=0.9)
 plt.suptitle("Bottom 10 Last Updated: " + str(now.strftime("%Y-%m-%d %H:%M")))
 
 # Save combined plot
-savename=userDir + '/BirdSongs/Extracted/Charts/Combo2-'+str(now.strftime("%Y-%m-%d"))+'.png'
+savename = userDir + '/BirdSongs/Extracted/Charts/Combo2-' + \
+    str(now.strftime("%Y-%m-%d")) + '.png'
 plt.savefig(savename)
 plt.show()
 plt.close()