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THULab/omie_blockchain_study

omie_blockchain_study (TsFile) Apache TsFile version of UniversitatdeLleida/omie-blockchain-study. Converted rows: 2,367 Data files: ['omie_blockchain_study.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("omie_blockchain_study.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/omie_blockchain_study.

sourceHugging Faceapache-2.0updated 13d agoView on Hugging Face
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omieblockchainstudy (TsFile)

Apache TsFile version of `UniversitatdeLleida/omie-blockchain-study`.

  • Converted rows: 2,367
  • Data files: ['omie_blockchain_study.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("omie_blockchain_study.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/UniversitatdeLleida/omie-blockchain-study
  • Author / publisher: UniversitatdeLleida
  • License: apache-2.0