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THULab/procedural_2000_10

procedural_2000_10 (TsFile) Apache TsFile version of sniper-qian/procedural_2000_10. Converted rows: 1,716,102 Data files: ['data/procedural_2000_10.tsfile'] Usage Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file: from pathlib import Path from tsfile import TsFileReader path = Path("data/procedural_2000_10.tsfile") with TsFileReader(str(path)) as reader: schemas = reader.get_all_table_schemas() print("tables:"… See the full description on the dataset page: https://huggingface.co/datasets/THULab/procedural_2000_10.

sourceHugging Faceupdated 24d agoView on Hugging Face
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procedural200010 (TsFile)

Apache TsFile version of `sniper-qian/procedural_2000_10`.

  • —Converted rows: 1,716,102
  • —Data files: ['data/procedural_2000_10.tsfile']

Usage

Install the Apache TsFile Python SDK (pip install tsfile) and read a converted file:

python
from pathlib import Path
from tsfile import TsFileReader

path = Path("data/procedural_2000_10.tsfile")
with TsFileReader(str(path)) as reader:
    schemas = reader.get_all_table_schemas()
    print("tables:", list(schemas))
    table_name = next(iter(schemas))
    table = schemas[table_name]
    columns = [column.get_column_name() for column in table.get_columns()]
    print("columns:", columns)
    field_names = [
        column.get_column_name()
        for column in table.get_columns()
        if column.get_column_name() not in {"Time", "time"}
    ]
    if field_names:
        with reader.query_table(table_name, field_names[:3], batch_size=1024) as result:
            batch = result.read_arrow_batch()
            if batch is not None:
                print(batch.to_pandas().head())

Source & license

  • —Original dataset: https://huggingface.co/datasets/sniper-qian/procedural200010
  • —License: not declared by the original dataset; please defer to the original.