Update results.py

results.py

@@ -2,29 +2,51 @@ from fasthtml.common import *
 from fasthtml.components import *
 import json
 from fh_plotly import plotly2fasthtml
+from plotly import graph_objects as go
 import pandas as pd
 import plotly.express as px
 
 #Perplexity Across Different Buckets (global)
-DATA = {
-    "2014": "1-1": 17.410227605477868,
-    "2014": "2-5":   16.11176217183986,
-    "2014": "6-10":  15.632757662414805,
-    "2014": "11-100": 15.446116676532212,
-    "2014": "101-1000": 16.716943171826703,
-    "2014": "1001-30000000": 18.156821563322765,
-}
-Perplexity_Across_Different_Buckets_global = pd.DataFrame(
-    DATA, columns=["Year", "Bucket", "Perplexity"]
-)
+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]]],
+    ["2015", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.446573602753478, 16.14852530113782, 15.627408549576069, 15.0055028132117, 15.565430373421485, 17.314701050452452]]],
+    ["2016", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.307221780905284, 16.297702171159543, 15.948641884223639, 14.799690714225637, 14.935989931859659, 16.09585768919658]]],
+    ["2017", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.338525603992114, 15.960924352297502, 15.912187993988933, 14.822102470001267, 14.778913482337416, 15.428145290012955]]],
+    ["2018", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.08551151136689, 16.187802102106698, 14.935072408852303, 14.832038213200583, 14.508674264491997, 14.800605964649103]]],
+    ["2019", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.818363305107052, 16.474269837858706, 14.944741674400241, 14.568394784374943, 14.690158822673334, 15.990949424635108]]],
+    ["2020", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.98821894111693, 15.936494557783181, 14.79960386342691, 14.435682562274105, 14.58651834886038, 15.869365567783806]]],
+    ["2021", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [17.125795647512877, 15.780419457145868, 14.631430892394002, 14.276477514399625, 14.337146941773641, 15.872474774329305]]],
+    ["2022", [["1-1", "2-5", "6-10", "11-100", "101-1000", "1001-30000000"], [16.573462144306383, 15.283018703313582, 14.378277745163881, 14.0611924390084, 13.9886330091318, 15.769421394877273]]],
+    ["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]
+ranges = DATA[0][1][0]
+all_values = [year_data[1][1] for year_data in DATA]
 
-fig = px.line(
-    Perplexity_Across_Different_Buckets_global,
-    x="Bucket",
-    y="Perplexity",
-    labels={"Bucket": "Bucket", "Perplexity": "Perplexity"},
+# 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))
+
+# Update layout
+fig.update_layout(
+    title="Values over Time by Category",
+    xaxis_title="Year",
+    yaxis_title="Values",
+    legend_title="Categories",
+    hovermode="x unified"
 )
 
+# Show the plot
+
 Perplexity_Across_Different_Buckets_global_graph = fig