THULab/niederschlag_station_4091_bavaria_germany

Niederschlag Station 4091, Bavaria, Germany (TsFile)

This dataset is the Apache TsFile conversion of `Kamilatr/niederschlag_station_4091_bavaria_germany`. It contains the monthly precipitation-height observations published for station 4091.

Modalities: Time-series.

Overview

• —Source dataset: `Kamilatr/niederschlag_station_4091_bavaria_germany`
• —Source revision: 7445f38114e2cc07f63f4fb3d16fb53cd2fddf45
• —Source file: newdf.csv
• —Observations: 60 monthly rows
• —Converted file: niederschlag_station_4091_bavaria_germany.tsfile (1,026 bytes)
• —Date range: 1986-01-01 through 1990-12-01
• —Station: 4091 (Bavaria, Germany)
• —Split: train

The source card does not declare a license or a measurement unit; this card therefore does not add either. Values are copied exactly as published.

TsFile schema

The table is niederschlag_station_4091_bavaria_germany and has one device, the station TAG station_id = "4091".

Conversion notes

• —The source Date (YYYY-MM-DD) is parsed to Time at UTC midnight. The redundant source string is not duplicated as a FIELD.
• —The dotted source measurement name is normalized to the TsFile-safe field mo_rr_niederschlagshoehe; no value or unit conversion is performed.
• —All 60 observations are retained and sorted by station_id, Time.

Read example

from tsfile import TsFileReader

path = "niederschlag_station_4091_bavaria_germany.tsfile"
with TsFileReader(path) as reader:
    with reader.query_table(
        "niederschlag_station_4091_bavaria_germany",
        ["mo_rr_niederschlagshoehe"],
        batch_size=128,
    ) as result:
        batch = result.read_arrow_batch()
        if batch is not None:
            print(batch.to_pandas())

Source & license

• —Original dataset: https://huggingface.co/datasets/Kamilatr/niederschlagstation4091bavariagermany
• —Author / publisher: Kamilatr
• —License: not declared by the original dataset; please defer to the original.

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("niederschlag_station_4091_bavaria_germany.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())