Update results.py

results.py

@@ -7,8 +7,6 @@ import pandas as pd
 import plotly.express as px
 
 #Perplexity Across Different Buckets (global)
-import plotly.graph_objects as go
-
 # The data you provided
 DATA = [
     ["2014", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.410227605477868, 16.11176217183986, 15.632757662414805, 15.446116676532212, 16.716943171826703, 18.156821563322765]]],
@@ -23,30 +21,28 @@ DATA = [
     ["2023", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [15.4293630385597, 14.608379914730168, 14.118271697056592, 13.880215644749589, 13.767106666731275, 15.05749135510839]]]
 ]
 
-# Extract years, ranges, and values
-years = [year_data[0] for year_data in DATA]
+# Extract ranges (buckets) and years
 ranges = DATA[0][1][0]
+years = [year_data[0] for year_data in DATA]
 all_values = [year_data[1][1] for year_data in DATA]
 
 # Create the figure
 fig = go.Figure()
 
-# Add a trace for each range category
-for i, range_label in enumerate(ranges):
-    values = [year_values[i] for year_values in all_values]
-    fig.add_trace(go.Scatter(x=years, y=values, mode='lines+markers', name=range_label))
+# Add a trace for each year
+for i, year in enumerate(years):
+    values = all_values[i]
+    fig.add_trace(go.Scatter(x=ranges, y=values, mode='lines+markers', name=year))
 
 # Update layout
 fig.update_layout(
-    title="Values over Time by Category",
-    xaxis_title="Year",
-    yaxis_title="Values",
-    legend_title="Categories",
+    title="Perplexity Versus Buckets for Different Years",
+    xaxis_title="Buckets",
+    yaxis_title="Perplexity",
+    legend_title="Years",
     hovermode="x unified"
 )
 
-# Show the plot
-
 Perplexity_Across_Different_Buckets_global_graph = fig