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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 13 new columns ({'soil_temperature_0_to_7cm_mean', 'wind_speed_10m_max', 'temperature_2m_max', 'relative_humidity_2m_mean', 'precipitation_sum', 'date', 'relative_humidity_2m_min', 'shortwave_radiation_sum', 'relative_humidity_2m_max', 'wind_speed_10m_mean', 'temperature_2m_mean', 'temperature_2m_min', 'city'}) and 14 missing columns ({'latitude', 'month', 'location', 'longitude', 'temperature_2m', 'wind_speed_10m', 'year', 'relative_humidity_2m', 'day_of_year', 'shortwave_radiation', 'precipitation', 'time', 'soil_temperature_0_to_7cm', 'hour'}).
This happened while the csv dataset builder was generating data using
hf://datasets/PeterFriedrich/hungary_weather_hist_hourly_2022_2025/hungary_hourly_weather_openmeteo_daily_summary_2022_2025.csv (at revision 551f430ebc02909a1a90dbb85b0ad2a465dea14f)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
date: string
temperature_2m_min: double
temperature_2m_max: double
temperature_2m_mean: double
relative_humidity_2m_min: double
relative_humidity_2m_max: double
relative_humidity_2m_mean: double
precipitation_sum: double
wind_speed_10m_max: double
wind_speed_10m_mean: double
shortwave_radiation_sum: double
soil_temperature_0_to_7cm_mean: double
city: string
region: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2171
to
{'time': Value('string'), 'temperature_2m': Value('float64'), 'relative_humidity_2m': Value('float64'), 'precipitation': Value('float64'), 'wind_speed_10m': Value('float64'), 'shortwave_radiation': Value('float64'), 'soil_temperature_0_to_7cm': Value('float64'), 'location': Value('string'), 'latitude': Value('float64'), 'longitude': Value('float64'), 'hour': Value('int64'), 'day_of_year': Value('int64'), 'month': Value('int64'), 'year': Value('int64'), 'region': Value('string')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1456, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 13 new columns ({'soil_temperature_0_to_7cm_mean', 'wind_speed_10m_max', 'temperature_2m_max', 'relative_humidity_2m_mean', 'precipitation_sum', 'date', 'relative_humidity_2m_min', 'shortwave_radiation_sum', 'relative_humidity_2m_max', 'wind_speed_10m_mean', 'temperature_2m_mean', 'temperature_2m_min', 'city'}) and 14 missing columns ({'latitude', 'month', 'location', 'longitude', 'temperature_2m', 'wind_speed_10m', 'year', 'relative_humidity_2m', 'day_of_year', 'shortwave_radiation', 'precipitation', 'time', 'soil_temperature_0_to_7cm', 'hour'}).
This happened while the csv dataset builder was generating data using
hf://datasets/PeterFriedrich/hungary_weather_hist_hourly_2022_2025/hungary_hourly_weather_openmeteo_daily_summary_2022_2025.csv (at revision 551f430ebc02909a1a90dbb85b0ad2a465dea14f)
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
time string | temperature_2m float64 | relative_humidity_2m float64 | precipitation float64 | wind_speed_10m float64 | shortwave_radiation float64 | soil_temperature_0_to_7cm float64 | location string | latitude float64 | longitude float64 | hour int64 | day_of_year int64 | month int64 | year int64 | region string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2022-01-01 00:00:00 | 7.4 | 92 | 0 | 8 | 0 | 5.7 | Budapest | 47.486816 | 19.06404 | 0 | 1 | 1 | 2,022 | Central |
2022-01-01 01:00:00 | 7.5 | 89 | 0 | 8.3 | 0 | 5.7 | Budapest | 47.486816 | 19.06404 | 1 | 1 | 1 | 2,022 | Central |
2022-01-01 02:00:00 | 7 | 90 | 0 | 8.5 | 0 | 5 | Budapest | 47.486816 | 19.06404 | 2 | 1 | 1 | 2,022 | Central |
2022-01-01 03:00:00 | 7.3 | 88 | 0 | 11.2 | 0 | 4.9 | Budapest | 47.486816 | 19.06404 | 3 | 1 | 1 | 2,022 | Central |
2022-01-01 04:00:00 | 9 | 84 | 0 | 16.7 | 0 | 5.3 | Budapest | 47.486816 | 19.06404 | 4 | 1 | 1 | 2,022 | Central |
2022-01-01 05:00:00 | 9.1 | 85 | 0 | 18.2 | 0 | 5.7 | Budapest | 47.486816 | 19.06404 | 5 | 1 | 1 | 2,022 | Central |
2022-01-01 06:00:00 | 9.3 | 86 | 0 | 17.3 | 0 | 6.1 | Budapest | 47.486816 | 19.06404 | 6 | 1 | 1 | 2,022 | Central |
2022-01-01 07:00:00 | 10 | 84 | 0 | 25.2 | 0 | 6.5 | Budapest | 47.486816 | 19.06404 | 7 | 1 | 1 | 2,022 | Central |
2022-01-01 08:00:00 | 10.1 | 85 | 0 | 24.8 | 0 | 6.8 | Budapest | 47.486816 | 19.06404 | 8 | 1 | 1 | 2,022 | Central |
2022-01-01 09:00:00 | 9.8 | 87 | 0 | 20 | 4 | 6.9 | Budapest | 47.486816 | 19.06404 | 9 | 1 | 1 | 2,022 | Central |
2022-01-01 10:00:00 | 10.2 | 86 | 0 | 15.2 | 65 | 7.2 | Budapest | 47.486816 | 19.06404 | 10 | 1 | 1 | 2,022 | Central |
2022-01-01 11:00:00 | 11.4 | 83 | 0 | 17.7 | 160 | 7.9 | Budapest | 47.486816 | 19.06404 | 11 | 1 | 1 | 2,022 | Central |
2022-01-01 12:00:00 | 12.3 | 80 | 0 | 18 | 210 | 8.8 | Budapest | 47.486816 | 19.06404 | 12 | 1 | 1 | 2,022 | Central |
2022-01-01 13:00:00 | 13 | 75 | 0 | 22.1 | 228 | 9.4 | Budapest | 47.486816 | 19.06404 | 13 | 1 | 1 | 2,022 | Central |
2022-01-01 14:00:00 | 14 | 69 | 0 | 21.7 | 229 | 10.8 | Budapest | 47.486816 | 19.06404 | 14 | 1 | 1 | 2,022 | Central |
2022-01-01 15:00:00 | 14.1 | 69 | 0 | 23.1 | 192 | 10.8 | Budapest | 47.486816 | 19.06404 | 15 | 1 | 1 | 2,022 | Central |
2022-01-01 16:00:00 | 13.6 | 70 | 0 | 21.5 | 123 | 10.7 | Budapest | 47.486816 | 19.06404 | 16 | 1 | 1 | 2,022 | Central |
2022-01-01 17:00:00 | 12.3 | 75 | 0 | 18.9 | 30 | 10.1 | Budapest | 47.486816 | 19.06404 | 17 | 1 | 1 | 2,022 | Central |
2022-01-01 18:00:00 | 11.6 | 79 | 0 | 18.7 | 0 | 9.6 | Budapest | 47.486816 | 19.06404 | 18 | 1 | 1 | 2,022 | Central |
2022-01-01 19:00:00 | 11.3 | 79 | 0 | 17.3 | 0 | 9.2 | Budapest | 47.486816 | 19.06404 | 19 | 1 | 1 | 2,022 | Central |
2022-01-01 20:00:00 | 12.2 | 73 | 0 | 18.3 | 0 | 9.3 | Budapest | 47.486816 | 19.06404 | 20 | 1 | 1 | 2,022 | Central |
2022-01-01 21:00:00 | 10.8 | 80 | 0 | 18.4 | 0 | 8.9 | Budapest | 47.486816 | 19.06404 | 21 | 1 | 1 | 2,022 | Central |
2022-01-01 22:00:00 | 10.2 | 83 | 0 | 17.1 | 0 | 8.6 | Budapest | 47.486816 | 19.06404 | 22 | 1 | 1 | 2,022 | Central |
2022-01-01 23:00:00 | 9.5 | 86 | 0 | 14.5 | 0 | 8.3 | Budapest | 47.486816 | 19.06404 | 23 | 1 | 1 | 2,022 | Central |
2022-01-02 00:00:00 | 8.9 | 89 | 0 | 14.9 | 0 | 7.9 | Budapest | 47.486816 | 19.06404 | 0 | 2 | 1 | 2,022 | Central |
2022-01-02 01:00:00 | 8.3 | 91 | 0 | 13.5 | 0 | 7.6 | Budapest | 47.486816 | 19.06404 | 1 | 2 | 1 | 2,022 | Central |
2022-01-02 02:00:00 | 8.3 | 91 | 0 | 14.1 | 0 | 7.5 | Budapest | 47.486816 | 19.06404 | 2 | 2 | 1 | 2,022 | Central |
2022-01-02 03:00:00 | 8 | 91 | 0 | 12.5 | 0 | 7.3 | Budapest | 47.486816 | 19.06404 | 3 | 2 | 1 | 2,022 | Central |
2022-01-02 04:00:00 | 7.6 | 92 | 0 | 10.2 | 0 | 7.1 | Budapest | 47.486816 | 19.06404 | 4 | 2 | 1 | 2,022 | Central |
2022-01-02 05:00:00 | 6.8 | 93 | 0 | 7.4 | 0 | 6.8 | Budapest | 47.486816 | 19.06404 | 5 | 2 | 1 | 2,022 | Central |
2022-01-02 06:00:00 | 5 | 96 | 0 | 7.9 | 0 | 6.2 | Budapest | 47.486816 | 19.06404 | 6 | 2 | 1 | 2,022 | Central |
2022-01-02 07:00:00 | 4.1 | 98 | 0 | 8.8 | 0 | 5.6 | Budapest | 47.486816 | 19.06404 | 7 | 2 | 1 | 2,022 | Central |
2022-01-02 08:00:00 | 5.9 | 97 | 0 | 4.4 | 0 | 5 | Budapest | 47.486816 | 19.06404 | 8 | 2 | 1 | 2,022 | Central |
2022-01-02 09:00:00 | 3.8 | 100 | 0 | 5.6 | 5 | 4.5 | Budapest | 47.486816 | 19.06404 | 9 | 2 | 1 | 2,022 | Central |
2022-01-02 10:00:00 | 5.2 | 98 | 0 | 5.6 | 67 | 5.1 | Budapest | 47.486816 | 19.06404 | 10 | 2 | 1 | 2,022 | Central |
2022-01-02 11:00:00 | 6.5 | 96 | 0 | 4.3 | 131 | 6.1 | Budapest | 47.486816 | 19.06404 | 11 | 2 | 1 | 2,022 | Central |
2022-01-02 12:00:00 | 8.3 | 90 | 0 | 4.7 | 179 | 7.1 | Budapest | 47.486816 | 19.06404 | 12 | 2 | 1 | 2,022 | Central |
2022-01-02 13:00:00 | 10.1 | 82 | 0 | 5.1 | 267 | 8.3 | Budapest | 47.486816 | 19.06404 | 13 | 2 | 1 | 2,022 | Central |
2022-01-02 14:00:00 | 11.4 | 73 | 0 | 7.8 | 289 | 9.6 | Budapest | 47.486816 | 19.06404 | 14 | 2 | 1 | 2,022 | Central |
2022-01-02 15:00:00 | 11.6 | 74 | 0 | 8.1 | 213 | 9.8 | Budapest | 47.486816 | 19.06404 | 15 | 2 | 1 | 2,022 | Central |
2022-01-02 16:00:00 | 11 | 79 | 0 | 7.1 | 120 | 9.6 | Budapest | 47.486816 | 19.06404 | 16 | 2 | 1 | 2,022 | Central |
2022-01-02 17:00:00 | 8.5 | 88 | 0 | 6.6 | 30 | 8.7 | Budapest | 47.486816 | 19.06404 | 17 | 2 | 1 | 2,022 | Central |
2022-01-02 18:00:00 | 8.1 | 90 | 0 | 7.6 | 0 | 7.9 | Budapest | 47.486816 | 19.06404 | 18 | 2 | 1 | 2,022 | Central |
2022-01-02 19:00:00 | 7.9 | 91 | 0 | 10.8 | 0 | 7.4 | Budapest | 47.486816 | 19.06404 | 19 | 2 | 1 | 2,022 | Central |
2022-01-02 20:00:00 | 7.8 | 92 | 0 | 9.4 | 0 | 7.2 | Budapest | 47.486816 | 19.06404 | 20 | 2 | 1 | 2,022 | Central |
2022-01-02 21:00:00 | 7.3 | 93 | 0 | 10.5 | 0 | 6.9 | Budapest | 47.486816 | 19.06404 | 21 | 2 | 1 | 2,022 | Central |
2022-01-02 22:00:00 | 6.7 | 91 | 0 | 10.2 | 0 | 6.6 | Budapest | 47.486816 | 19.06404 | 22 | 2 | 1 | 2,022 | Central |
2022-01-02 23:00:00 | 5.5 | 92 | 0 | 10 | 0 | 6.2 | Budapest | 47.486816 | 19.06404 | 23 | 2 | 1 | 2,022 | Central |
2022-01-03 00:00:00 | 4.7 | 93 | 0 | 9 | 0 | 5.7 | Budapest | 47.486816 | 19.06404 | 0 | 3 | 1 | 2,022 | Central |
2022-01-03 01:00:00 | 4.2 | 94 | 0 | 8.5 | 0 | 5.3 | Budapest | 47.486816 | 19.06404 | 1 | 3 | 1 | 2,022 | Central |
2022-01-03 02:00:00 | 4.6 | 92 | 0 | 8 | 0 | 4.6 | Budapest | 47.486816 | 19.06404 | 2 | 3 | 1 | 2,022 | Central |
2022-01-03 03:00:00 | 3.9 | 87 | 0 | 9.8 | 0 | 4.3 | Budapest | 47.486816 | 19.06404 | 3 | 3 | 1 | 2,022 | Central |
2022-01-03 04:00:00 | 4.6 | 81 | 0 | 9.7 | 0 | 4 | Budapest | 47.486816 | 19.06404 | 4 | 3 | 1 | 2,022 | Central |
2022-01-03 05:00:00 | 6.6 | 77 | 0 | 10.2 | 0 | 4.2 | Budapest | 47.486816 | 19.06404 | 5 | 3 | 1 | 2,022 | Central |
2022-01-03 06:00:00 | 6.6 | 78 | 0 | 9.2 | 0 | 4.4 | Budapest | 47.486816 | 19.06404 | 6 | 3 | 1 | 2,022 | Central |
2022-01-03 07:00:00 | 6.2 | 79 | 0 | 7.6 | 0 | 4.4 | Budapest | 47.486816 | 19.06404 | 7 | 3 | 1 | 2,022 | Central |
2022-01-03 08:00:00 | 9.3 | 63 | 0 | 14.5 | 0 | 4.7 | Budapest | 47.486816 | 19.06404 | 8 | 3 | 1 | 2,022 | Central |
2022-01-03 09:00:00 | 11.6 | 59 | 0 | 26.1 | 3 | 5.7 | Budapest | 47.486816 | 19.06404 | 9 | 3 | 1 | 2,022 | Central |
2022-01-03 10:00:00 | 11.9 | 60 | 0.1 | 30.2 | 32 | 6.6 | Budapest | 47.486816 | 19.06404 | 10 | 3 | 1 | 2,022 | Central |
2022-01-03 11:00:00 | 12.4 | 56 | 0.1 | 26 | 70 | 7.3 | Budapest | 47.486816 | 19.06404 | 11 | 3 | 1 | 2,022 | Central |
2022-01-03 12:00:00 | 12.8 | 54 | 0 | 24.6 | 96 | 7.9 | Budapest | 47.486816 | 19.06404 | 12 | 3 | 1 | 2,022 | Central |
2022-01-03 13:00:00 | 12.8 | 55 | 0 | 23 | 109 | 8.4 | Budapest | 47.486816 | 19.06404 | 13 | 3 | 1 | 2,022 | Central |
2022-01-03 14:00:00 | 13.1 | 57 | 0 | 23.2 | 177 | 8.7 | Budapest | 47.486816 | 19.06404 | 14 | 3 | 1 | 2,022 | Central |
2022-01-03 15:00:00 | 13.1 | 55 | 0 | 27.1 | 227 | 9.2 | Budapest | 47.486816 | 19.06404 | 15 | 3 | 1 | 2,022 | Central |
2022-01-03 16:00:00 | 12.2 | 56 | 0 | 20.7 | 100 | 9.2 | Budapest | 47.486816 | 19.06404 | 16 | 3 | 1 | 2,022 | Central |
2022-01-03 17:00:00 | 10.7 | 63 | 0 | 19.9 | 26 | 8.8 | Budapest | 47.486816 | 19.06404 | 17 | 3 | 1 | 2,022 | Central |
2022-01-03 18:00:00 | 9.7 | 67 | 0 | 16.1 | 0 | 8.2 | Budapest | 47.486816 | 19.06404 | 18 | 3 | 1 | 2,022 | Central |
2022-01-03 19:00:00 | 9 | 68 | 0 | 15.9 | 0 | 7.7 | Budapest | 47.486816 | 19.06404 | 19 | 3 | 1 | 2,022 | Central |
2022-01-03 20:00:00 | 8.4 | 72 | 0 | 14.8 | 0 | 7.3 | Budapest | 47.486816 | 19.06404 | 20 | 3 | 1 | 2,022 | Central |
2022-01-03 21:00:00 | 8.6 | 72 | 0 | 16.2 | 0 | 7.1 | Budapest | 47.486816 | 19.06404 | 21 | 3 | 1 | 2,022 | Central |
2022-01-03 22:00:00 | 8.9 | 72 | 0.1 | 16.6 | 0 | 7.1 | Budapest | 47.486816 | 19.06404 | 22 | 3 | 1 | 2,022 | Central |
2022-01-03 23:00:00 | 9 | 73 | 0 | 14.8 | 0 | 7.1 | Budapest | 47.486816 | 19.06404 | 23 | 3 | 1 | 2,022 | Central |
2022-01-04 00:00:00 | 8 | 78 | 0 | 10.5 | 0 | 6.9 | Budapest | 47.486816 | 19.06404 | 0 | 4 | 1 | 2,022 | Central |
2022-01-04 01:00:00 | 6.8 | 83 | 0 | 10.2 | 0 | 6.5 | Budapest | 47.486816 | 19.06404 | 1 | 4 | 1 | 2,022 | Central |
2022-01-04 02:00:00 | 6.4 | 89 | 0 | 9 | 0 | 7.3 | Budapest | 47.486816 | 19.06404 | 2 | 4 | 1 | 2,022 | Central |
2022-01-04 03:00:00 | 6 | 92 | 0 | 9.7 | 0 | 6.7 | Budapest | 47.486816 | 19.06404 | 3 | 4 | 1 | 2,022 | Central |
2022-01-04 04:00:00 | 6.5 | 92 | 0 | 14.6 | 0 | 6.4 | Budapest | 47.486816 | 19.06404 | 4 | 4 | 1 | 2,022 | Central |
2022-01-04 05:00:00 | 6.1 | 94 | 0 | 11.9 | 0 | 6.3 | Budapest | 47.486816 | 19.06404 | 5 | 4 | 1 | 2,022 | Central |
2022-01-04 06:00:00 | 5.6 | 96 | 0 | 12.1 | 0 | 6.1 | Budapest | 47.486816 | 19.06404 | 6 | 4 | 1 | 2,022 | Central |
2022-01-04 07:00:00 | 4.9 | 96 | 0 | 12.4 | 0 | 5.7 | Budapest | 47.486816 | 19.06404 | 7 | 4 | 1 | 2,022 | Central |
2022-01-04 08:00:00 | 4.6 | 96 | 0 | 13.1 | 0 | 5.4 | Budapest | 47.486816 | 19.06404 | 8 | 4 | 1 | 2,022 | Central |
2022-01-04 09:00:00 | 4.7 | 96 | 0 | 14 | 4 | 5.2 | Budapest | 47.486816 | 19.06404 | 9 | 4 | 1 | 2,022 | Central |
2022-01-04 10:00:00 | 6.2 | 91 | 0 | 14.2 | 59 | 5.5 | Budapest | 47.486816 | 19.06404 | 10 | 4 | 1 | 2,022 | Central |
2022-01-04 11:00:00 | 7.4 | 87 | 0 | 13.7 | 103 | 6.2 | Budapest | 47.486816 | 19.06404 | 11 | 4 | 1 | 2,022 | Central |
2022-01-04 12:00:00 | 8.3 | 85 | 0 | 14 | 102 | 6.8 | Budapest | 47.486816 | 19.06404 | 12 | 4 | 1 | 2,022 | Central |
2022-01-04 13:00:00 | 8.5 | 87 | 0 | 13.7 | 82 | 7.1 | Budapest | 47.486816 | 19.06404 | 13 | 4 | 1 | 2,022 | Central |
2022-01-04 14:00:00 | 10.2 | 77 | 0 | 20 | 208 | 8.5 | Budapest | 47.486816 | 19.06404 | 14 | 4 | 1 | 2,022 | Central |
2022-01-04 15:00:00 | 10.4 | 77 | 0.2 | 22.2 | 78 | 8.5 | Budapest | 47.486816 | 19.06404 | 15 | 4 | 1 | 2,022 | Central |
2022-01-04 16:00:00 | 10.2 | 78 | 0 | 21.2 | 53 | 8.4 | Budapest | 47.486816 | 19.06404 | 16 | 4 | 1 | 2,022 | Central |
2022-01-04 17:00:00 | 10.5 | 73 | 0 | 25.9 | 18 | 8.3 | Budapest | 47.486816 | 19.06404 | 17 | 4 | 1 | 2,022 | Central |
2022-01-04 18:00:00 | 10.4 | 74 | 0 | 20.1 | 0 | 8.2 | Budapest | 47.486816 | 19.06404 | 18 | 4 | 1 | 2,022 | Central |
2022-01-04 19:00:00 | 10.3 | 74 | 0 | 25.1 | 0 | 8.1 | Budapest | 47.486816 | 19.06404 | 19 | 4 | 1 | 2,022 | Central |
2022-01-04 20:00:00 | 10.1 | 76 | 0 | 26.6 | 0 | 8 | Budapest | 47.486816 | 19.06404 | 20 | 4 | 1 | 2,022 | Central |
2022-01-04 21:00:00 | 10.2 | 76 | 0 | 26.7 | 0 | 7.9 | Budapest | 47.486816 | 19.06404 | 21 | 4 | 1 | 2,022 | Central |
2022-01-04 22:00:00 | 10.2 | 74 | 0 | 26.5 | 0 | 7.9 | Budapest | 47.486816 | 19.06404 | 22 | 4 | 1 | 2,022 | Central |
2022-01-04 23:00:00 | 10.3 | 73 | 0 | 25.9 | 0 | 7.9 | Budapest | 47.486816 | 19.06404 | 23 | 4 | 1 | 2,022 | Central |
2022-01-05 00:00:00 | 10.2 | 73 | 0 | 23.7 | 0 | 7.9 | Budapest | 47.486816 | 19.06404 | 0 | 5 | 1 | 2,022 | Central |
2022-01-05 01:00:00 | 9.9 | 75 | 0 | 21.9 | 0 | 7.9 | Budapest | 47.486816 | 19.06404 | 1 | 5 | 1 | 2,022 | Central |
2022-01-05 02:00:00 | 9.3 | 82 | 0 | 17.9 | 0 | 7.3 | Budapest | 47.486816 | 19.06404 | 2 | 5 | 1 | 2,022 | Central |
2022-01-05 03:00:00 | 9.7 | 80 | 0 | 16.5 | 0 | 7.4 | Budapest | 47.486816 | 19.06404 | 3 | 5 | 1 | 2,022 | Central |
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