File size: 1,742 Bytes
26ff111 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | #!/usr/bin/env python3
"""Convert NASA C-MAPSS raw train text files to processed parquet."""
from __future__ import annotations
import argparse
from pathlib import Path
import pandas as pd
CMAPSS_COLUMNS = (
"unit",
"cycle",
"op1",
"op2",
"op3",
*(f"s{index}" for index in range(1, 22)),
)
def convert_train_file(input_path: Path, output_path: Path) -> pd.DataFrame:
frame = pd.read_csv(
input_path,
sep=r"\s+",
header=None,
names=CMAPSS_COLUMNS,
)
max_cycle = frame.groupby("unit")["cycle"].transform("max")
frame["rul"] = (max_cycle - frame["cycle"]).astype(int)
output_path.parent.mkdir(parents=True, exist_ok=True)
frame.to_parquet(output_path, index=False)
return frame
def main() -> int:
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--raw-dir",
type=Path,
default=Path("data/raw/cmapss"),
help="Directory containing NASA train_FD00X.txt files.",
)
parser.add_argument(
"--output-dir",
type=Path,
default=Path("data"),
help="Directory where FD00X_processed.parquet files are written.",
)
parser.add_argument(
"--datasets",
nargs="+",
default=["FD002", "FD004"],
help="C-MAPSS dataset IDs to convert.",
)
args = parser.parse_args()
for dataset_id in args.datasets:
source = args.raw_dir / f"train_{dataset_id}.txt"
target = args.output_dir / f"{dataset_id}_processed.parquet"
frame = convert_train_file(source, target)
print(f"{dataset_id}: wrote {target} ({len(frame)} rows)")
return 0
if __name__ == "__main__":
raise SystemExit(main())
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