THULab/temperature_rain

temperature_rain (TsFile format)

32072 daily time series showing the temperature observations and rain forecasts, gathered by the Australian Bureau of Meteorology for 422 weather stations across Australia, between 02/05/2015 and 26/04/2017

This repository contains the full source .tsf series from the Monash Time Series Forecasting Repository converted to Apache TsFile format.

Summary

• —Source dataset: `Monash-University/monash_tsf`
• —Original source: https://zenodo.org/record/5129073
• —Monash subset: temperature_rain
• —Modalities: Time-series
• —Source series: 32,072
• —Rows: 23,252,200 flattened timestamped observations
• —Frequency: daily
• —Forecast horizon metadata: not specified
• —Missing-values metadata: True
• —Equal-length metadata: True
• —Missing target values preserved as NaN: 598,837
• —Series length range: 725 to 725
• —TsFile output: 24 files (temperaturerain1.tsfile .. temperaturerain9.tsfile)

Files

• —temperature_rain_1.tsfile
• —temperature_rain_10.tsfile
• —temperature_rain_11.tsfile
• —temperature_rain_12.tsfile
• —temperature_rain_13.tsfile
• —temperature_rain_14.tsfile
• —temperature_rain_15.tsfile
• —temperature_rain_16.tsfile
• —temperature_rain_17.tsfile
• —temperature_rain_18.tsfile
• —temperature_rain_19.tsfile
• —temperature_rain_2.tsfile
• —temperature_rain_20.tsfile
• —temperature_rain_21.tsfile
• —temperature_rain_22.tsfile
• —temperature_rain_23.tsfile
• —temperature_rain_24.tsfile
• —temperature_rain_3.tsfile
• —temperature_rain_4.tsfile
• —temperature_rain_5.tsfile
• —temperature_rain_6.tsfile
• —temperature_rain_7.tsfile
• —temperature_rain_8.tsfile
• —temperature_rain_9.tsfile

TsFile Schema

Conversion Notes

• —Each source .tsf data row is stored as one TsFile device.
• —Source .tsf attributes are stored as TAG columns.
• —The target series values are flattened into timestamped rows and stored as a FLOAT FIELD.
• —Time is synthesized from the source start timestamp and the .tsf frequency metadata, with millisecond precision.
• —Large outputs may be sharded by the TsFile conversion tool; all listed shards belong to the same logical table temperature_rain.

Reading Example

from tsfile import TsFileReader

reader = TsFileReader("temperature_rain_1.tsfile")
schemas = reader.get_all_table_schemas()