| --- |
| license: mit |
| task_categories: |
| - robotics |
| tags: |
| - tsfile |
| - timeseries |
| - time-series |
| - format:tsfile |
| pretty_name: dlr_edan_shared_control |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/dlr_edan_shared_control.tsfile |
| --- |
| |
| # dlr_edan_shared_control (TsFile) |
| |
| Apache TsFile version of [`lerobot/dlr_edan_shared_control`](https://huggingface.co/datasets/lerobot/dlr_edan_shared_control). |
| |
| - **Converted rows:** 8,928 |
| - **Data files:** `['data/dlr_edan_shared_control.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/dlr_edan_shared_control.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/lerobot/dlr_edan_shared_control |
| - Author / publisher: lerobot |
| - License: mit |
| |
