Datasets:
File size: 1,702 Bytes
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license: apache-2.0
task_categories:
- time-series-forecasting
tags:
- tsfile
- timeseries
- time-series
- format:tsfile
pretty_name: click_target_preprocess_test_three_camera
configs:
- config_name: default
data_files:
- split: train
path: data/click_target_preprocess_test_three_camera.tsfile
---
# click_target_preprocess_test_three_camera (TsFile)
Apache TsFile version of [`Greynar/ClickTargetPreprocessTestThreeCamera`](https://huggingface.co/datasets/Greynar/ClickTargetPreprocessTestThreeCamera).
- **Converted rows:** 37,577
- **Data files:** `['data/click_target_preprocess_test_three_camera.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/click_target_preprocess_test_three_camera.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/Greynar/ClickTargetPreprocessTestThreeCamera
- License: apache-2.0
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