eeeck/CANveyor
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Fix schema check and update import paths

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- Use `collect_schema` for accurate column validation in Polars and
  correct
  relative import paths for statistical modules.
This commit is contained in:
Erick
2026-07-15 00:48:30 +02:00
parent 3df42fb497
commit c98563f541
5 changed files with 7 additions and 7 deletions
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parser.py
+1 -1
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@@ -77,7 +77,7 @@ def parse_csv(csv_path: PathLike) -> pl.LazyFrame:
""" """
lf = pl.scan_csv(csv_path, schema_overrides={"ID": pl.String, "Data": pl.String}) lf = pl.scan_csv(csv_path, schema_overrides={"ID": pl.String, "Data": pl.String})
if "Timestamp" not in lf.columns: if "Timestamp" not in lf.collect_schema().names():
lf = lf.with_row_index("Timestamp") lf = lf.with_row_index("Timestamp")
byte_exprs = [] byte_exprs = []
stats/correlation.py
+2 -2
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@@ -9,8 +9,8 @@ import numpy as np
import pandas as pd import pandas as pd
import plotly.graph_objects as go import plotly.graph_objects as go
from utils.extractor import load_data from stats.utils.extractor import load_data
from utils.extractor import to_int from stats.utils.extractor import to_int
def _format_can_id_vec(s: pd.Series) -> pd.Series: def _format_can_id_vec(s: pd.Series) -> pd.Series:
s = s.astype('string').str.strip() s = s.astype('string').str.strip()
stats/entropy.py
+2 -2
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@@ -9,8 +9,8 @@ import numpy as np
import pandas as pd import pandas as pd
import plotly.graph_objects as go import plotly.graph_objects as go
from utils.extractor import load_data from stats.utils.extractor import load_data
from utils.extractor import to_int from stats.utils.extractor import to_int
def _format_can_id_vec(s: pd.Series) -> pd.Series: def _format_can_id_vec(s: pd.Series) -> pd.Series:
s = s.astype('string').str.strip() s = s.astype('string').str.strip()
stats/frequency.py
+1 -1
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@@ -7,7 +7,7 @@ from pathlib import Path
import numpy as np import numpy as np
import pandas as pd import pandas as pd
import plotly.graph_objects as go import plotly.graph_objects as go
from utils.extractor import load_data from stats.utils.extractor import load_data
def _format_can_id_vec(s: pd.Series) -> pd.Series: def _format_can_id_vec(s: pd.Series) -> pd.Series:
s = s.astype('string').str.strip() s = s.astype('string').str.strip()
stats/id_viewer.py
+1 -1
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@@ -7,7 +7,7 @@ from pathlib import Path
import numpy as np import numpy as np
import pandas as pd import pandas as pd
import plotly.graph_objects as go import plotly.graph_objects as go
from utils.extractor import load_data from stats.utils.extractor import load_data
def _format_can_id_vec(s: pd.Series) -> pd.Series: def _format_can_id_vec(s: pd.Series) -> pd.Series:
s = s.astype('string').str.strip() s = s.astype('string').str.strip()