Implement lttbc

stats/id_viewer.py

@@ -7,6 +7,7 @@ from pathlib import Path
 import numpy as np
 import pandas as pd
 import plotly.graph_objects as go
+import lttbc
 from stats.utils.extractor import load_data
 
 def _format_can_id_vec(s: pd.Series) -> pd.Series:
@@ -43,13 +44,20 @@ def plot_bits(df, byte_cols, can_id, title):
     fig = go.Figure()
     colors = ['#e41a1c', '#377eb8', '#4daf4a', '#984ea3', '#ff7f00', '#ffff33', '#a65628', '#f781bf']
     n = len(byte_cols)
+    max_points = 2000
 
     x = df['Timestamp'].to_numpy() if not df.empty else np.array([])
     for i, col in enumerate(byte_cols):
         y = df[col].to_numpy(dtype=np.float32, copy=False) if not df.empty else np.array([])
+
+        if len(x) > max_points and len(x) == len(y):
+            x_plot, y_plot = lttbc.downsample(x, y, max_points)
+        else:
+            x_plot, y_plot = x, y
+
         fig.add_trace(go.Scattergl(
-            x=x,
-            y=y,
+            x=x_plot,
+            y=y_plot,
             mode='lines',
             line=dict(shape='hv', width=2, color=colors[i % len(colors)]),
             name=col.upper(),