v1.7.0

• select.group_by:
  • Added list option to gather rows as a python list.
  • Bugfix: Enable where to work.
  • Bugfix: Fix an issue when by and an aggregation contained the same column.
• Added format.significant_figures to round numbers to a specified number of significant figures.
• Added select.columns to be able to only include specified columns.
• Added explode to explode rows that contain lists over many rows.
• Added select.head to get the first n rows.
• Added select.tail to get the last n rows.
• Added unit conversion schema and tests for extract.attributes.
• Added similarity wrangle to calculate the similarity between two vectors. This can use cosine or euclidean calculations.
• Added case sensitive option for standardize.
• Added case sensitive option for extract.custom.
• create.embeddings:
  • Prevent empty strings causing failure.
  • Added ability to return embeddings as a numpy array.
  • Allow multiple inputs and outputs.
  • Optimize by using base64 encoding for requests.
  • Added retries parameter to specify the number of times to retry if the API request fails. This uses exponential backoff to help with rate limiting.
• extract.ai - Added retries parameter to specify the number of times to retry if the API request fails. This uses exponential backoff to help with rate limiting.
• Added a more succinct option for creating columns by defining as a dictionary of column headings and values. This supports the same dynamic column generation options as the test connector.
• Bugfix: Rename had strange behaviour when the target column already existed.
• Give a clearer error message if the recipe file is invalid.