updated day plot

rook/dashboard/plots/day.py

@@ -4,28 +4,35 @@
 
 from .base import PlotView
 
+# Constant to represent days of the week
 DAYS = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
 
 
 class DayPlot(PlotView):
     def data(self):
         pdf = pd.DataFrame()
+
+        # Convert the 'time_start' column to day of the week and map it to the DAYS constant
         pdf["day"] = self.df["time_start"].dt.dayofweek
         pdf["day"] = pdf["day"].apply(lambda x: DAYS[x])
 
+        # Create a dictionary with the sorted day names and their corresponding counts
         day_counts = pdf["day"].value_counts().sort_index()
         data_ = dict(days=day_counts.index, counts=day_counts.values)
         return data_
 
     def plot(self):
+        # Create a Bokeh figure for plotting
         plot = figure(
-            title="Requests per weekday",
-            tools="",
+            title="Requests per Weekday",
+            tools="",  # No interactive tools
             toolbar_location=None,
-            x_range=DAYS,
+            x_range=DAYS,  # Set x-axis range to days of the week
             sizing_mode="scale_width",
             plot_height=100,
         )
+
+        # Create a vertical bar chart
         plot.vbar(
             x="days",
             top="counts",
@@ -34,9 +41,11 @@ def plot(self):
             color="blue",
             alpha=0.5,
         )
+
+        # Set the y-axis to start from 0
         plot.y_range.start = 0
-        # plot.x_range.range_padding = 0.1
-        plot.xgrid.grid_line_color = None
-        plot.axis.minor_tick_line_color = None
-        plot.outline_line_color = None
+        plot.xgrid.grid_line_color = None  # Remove grid lines on x-axis
+        plot.axis.minor_tick_line_color = None  # Remove minor ticks
+        plot.outline_line_color = None  # Remove the outline around the plot
+
         return plot