Returns the columns of this Dataset. Time complexity: O(1) Example: >>> import ray >>> # Create dataset from synthetic data. >>> ds = ray.data.range(1000) >>> ds.columns() ['id'] Args: fetch_if_missing
(self, fetch_if_missing: bool = True)
| 4192 | ) |
| 4193 | @PublicAPI(api_group=IM_API_GROUP) |
| 4194 | def columns(self, fetch_if_missing: bool = True) -> Optional[List[str]]: |
| 4195 | """Returns the columns of this Dataset. |
| 4196 | |
| 4197 | Time complexity: O(1) |
| 4198 | |
| 4199 | Example: |
| 4200 | >>> import ray |
| 4201 | >>> # Create dataset from synthetic data. |
| 4202 | >>> ds = ray.data.range(1000) |
| 4203 | >>> ds.columns() |
| 4204 | ['id'] |
| 4205 | |
| 4206 | Args: |
| 4207 | fetch_if_missing: If True, synchronously fetch the column names from the |
| 4208 | schema if it's not known. If False, None is returned if the schema is |
| 4209 | not known. Default is True. |
| 4210 | |
| 4211 | Returns: |
| 4212 | A list of the column names for this Dataset or None if schema is not known |
| 4213 | and `fetch_if_missing` is False. |
| 4214 | |
| 4215 | """ |
| 4216 | schema = self.schema(fetch_if_missing=fetch_if_missing) |
| 4217 | if schema is not None: |
| 4218 | return schema.names |
| 4219 | return None |
| 4220 | |
| 4221 | @PublicAPI(api_group=IM_API_GROUP) |
| 4222 | def num_blocks(self) -> int: |