arkouda

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Implement `[slice]=pdarray` indexing for multidimensional arrays and modify pdarray's `__setitem__` to use it.

jeremiah-corrado

Add implementations of the following Array API functions: * [sort](https://data-apis.org/array-api/latest/API_specification/generated/array_api.sort.html#array_api.sort) * [search_sorted](https://data-apis.org/array-api/latest/API_specification/generated/array_api.searchsorted.html#array_api.searchsorted) * [cumulative_sum](https://data-apis.org/array-api/latest/API_specification/generated/array_api.cumulative_sum.html#array_api.cumulative_sum)

jeremiah-corrado

Our IO functions used to return a dictionary if multiple columns or datasets were provided and if only was provided to just return the object. It has been requested by...

stress-tess

Have binops for the Index class, just like pandas: ```python In [8]: i3 = pd.Index(np.array([1,2,3])) ...: i4 = pd.Index(np.array([1,2,3])) In [9]: i3 + i4 Out[9]: Index([2, 4, 6], dtype='int64') ```

ajpotts

This pull request (re)implements indexing methods for DataFrames to match the behavior of Pandas indexing. Specifically, the `[]` indexers now index columns by label, `loc` and `at` index rows by...

brandon-neth

Users have requested we have `read_parquet` always return a dictionary. Right now passing it a single column will return that column type (for example pdarray) but it would be nice...

stress-tess

Parent ticket for Aligning Arkouda API with Pandas. - [ ] https://github.com/Bears-R-Us/arkouda/issues/3171 - [ ] https://github.com/Bears-R-Us/arkouda/issues/3177 - [ ] https://github.com/Bears-R-Us/arkouda/issues/3178 - [ ] https://github.com/Bears-R-Us/arkouda/issues/3155 - [ ] https://github.com/Bears-R-Us/arkouda/issues/3181 - [...

ajpotts

Add `Categorical.ordered` to match pandas: https://pandas.pydata.org/docs/reference/api/pandas.Categorical.ordered.html

ajpotts

Categorical.categories should return an index to match pandas: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Categorical.categories.html

ajpotts

Add a `.base` attribute similar to numpy: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.base.html

ajpotts