Add utility to convert XAUUSD time column format

README.md

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+# OpenAi_Codex
+
+This repository now includes a small utility script to normalise the `time` column in CSV files. The script removes timezone information (e.g. `+00:00`) so the format matches entries like `2025-09-09 06:29:00` from `XAUUSD_data.csv`.
+
+## Usage
+
+```
+python convert_time_format.py XAUUSD_data_10min.csv
+```
+
+The command overwrites the input file with the `time` column formatted as `YYYY-MM-DD HH:MM:SS`. Use the `-o` option to write to a different file.

convert_time_format.py

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+import pandas as pd
+from pathlib import Path
+
+def convert_time_format(input_file: str, output_file: str | None = None) -> Path:
+    """Convert the `time` column of a CSV to 'YYYY-MM-DD HH:MM:SS'.
+
+    Parameters
+    ----------
+    input_file: str
+        Path to the CSV file whose `time` column may contain timezone info.
+    output_file: str | None, optional
+        Path to save the converted CSV. If omitted, the input file is overwritten.
+
+    Returns
+    -------
+    Path
+        Path to the written CSV file.
+    """
+    df = pd.read_csv(input_file)
+    if 'time' not in df.columns:
+        raise ValueError("CSV must contain a 'time' column")
+
+    # Parse dates and drop timezone info if present, then format like 'YYYY-MM-DD HH:MM:SS'
+    times = pd.to_datetime(df['time'])
+    times = times.dt.tz_localize(None)  # Remove timezone if it exists
+    df['time'] = times.dt.strftime('%Y-%m-%d %H:%M:%S')
+
+    output_path = Path(output_file) if output_file else Path(input_file)
+    df.to_csv(output_path, index=False)
+    return output_path
+
+
+if __name__ == "__main__":
+    import argparse
+
+    parser = argparse.ArgumentParser(description="Normalize the time column format in a CSV")
+    parser.add_argument("input_file", help="CSV file with a time column")
+    parser.add_argument("-o", "--output-file", help="Where to save the converted CSV", default=None)
+    args = parser.parse_args()
+
+    out_path = convert_time_format(args.input_file, args.output_file)
+    print(f"Converted CSV written to {out_path}")