fixing percentage graph of top 3 accurate tools

tabs/tool_accuracy.py

@@ -6,7 +6,7 @@ from typing import Tuple
 import plotly.express as px
 import numpy as np
 
-VOLUME_FACTOR_REGULARIZATION = 0.25
+VOLUME_FACTOR_REGULARIZATION = 0.5
 UNSCALED_WEIGHTED_ACCURACY_INTERVAL = (-0.5, 80.5)
 SCALED_WEIGHTED_ACCURACY_INTERVAL = (0, 1)
 
@@ -176,30 +176,12 @@ def plot_mech_requests_topthree_tools(
         daily_mech_requests_local_copy.tool.isin(top_tools)
     ]
 
-    # Create a pivot table to get the total mech requests per tool
-    pivoted = daily_mech_requests_local_copy.pivot(
-        index="request_date", columns="tool", values="percentage"
-    )
-    # Sort the columns for each row independently
-    sorted_values = np.sort(pivoted.values, axis=1)[
-        :, ::-1
-    ]  # sort and reverse (descending)
-    sorted_columns = np.argsort(pivoted.values, axis=1)[:, ::-1]  # get sorting indices
-
-    sorted_df = pd.DataFrame(
-        sorted_values,
-        index=pivoted.index,
-        columns=[
-            pivoted.columns[i] for i in sorted_columns[0]
-        ],  # use first row's order
-    )
-
-    sorted_long = sorted_df.reset_index().melt(
-        id_vars=["request_date"], var_name="tool", value_name="percentage"
-    )
+    daily_mech_requests_local_copy["request_date"] = pd.to_datetime(
+        daily_mech_requests_local_copy["request_date"]
+    ).dt.date
 
     fig = px.bar(
-        sorted_long,
+        daily_mech_requests_local_copy,
         x="request_date",
         y="percentage",
         color="tool",