fletcher 0.7.2

• Allow NumPy ufuncs to work with np.ndarray outputs where operations are clearly defined (i.e. the fletcher array has no nulls).

fletcher 0.7.1

• Fix return values for str functions with pandas=1.2 and pyarrow=1.
• Ensure that parallel variants of apply_binary_str actually parallize.

fletcher 0.7.0

• Add tests for all str functions.
• Fix tests for pyarrow=0.17.1 and add CI jobs for 0.17.1 and 1.0.1.
• Implement a faster take for list arrays.
• Use utf8_is_* functions from Apache Arrow if available.
• Simplify factorize implementation to work for chunked arrays with more or less than a single chunk.
• Switch to pandas.NA as the user-facing null value
• Add convenience function fletcher.algorithms.string.apply_binary_str to apply a binary function on two string columns.

fletcher 0.6.1

• Create a shallow copy on .astype(equal dtype, copy=True).
• Import pad_1d only in older pandas versions, otherwise use get_fill_func
• Handle fr_str.extractall and similar functions correctly, returning a pd.Dataframe containing accoring fletcher array types.

fletcher 0.6.0

• Use binary_contains_exact if available from pyarrow instead of our own numba-based implementation.
• Provide two more consistent accessors:
• .fr_strx: Call efficient string functions on fletcher arrays, error if not available.
• .fr_str: Call string functions on fletcher and object-typed arrays, convert to object if no fletcher function is available.
• Add a numba-based implementation for strip, slice, and replace.
• Support LargeListArray as a backing structure for lists.
• Implement isnan ufunc.

fletcher 0.5.2

Add probot-automerge (#186)

fletcher 0.5.1

Add GH Action for automatic releases (#184)

* Add GH Action for automatic releases

* Releases are 3.7 only

fletcher 0.5.0

• Implement FletcherBaseArray.__or__ and FletcherBaseArray.__any__ to support pandas.Series.replace.

fletcher 0.4.0

• Forward the __array__ protocol directly to Arrow
• Add naive implementation for zfill
• Add efficient (Numba-based) implementations for endswith, startswith and contains

0.3.1

• Support roundtrips of pandas.DataFrame instances with fletcher columns through pyarrow data structures.
• Move CI to Github Actions