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Arkouda (αρκούδα): Interactive Data Analytics at Supercomputing Scale :bear:

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Add Series.empty property to match pandas: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.empty.html

enhancement

arkouda.dataframe.DataFrame.all() and .any() should accept a bool_only option, similar to pandas: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.all.html

enhancement

some great ideas @bmcdonald3 had for improving #3094! This involves an optimization and improving user experience by not requiring them to set a flag > Null flag was a good...

performance

Add MultiIndex.equals to match pandas: https://pandas.pydata.org/pandas-docs/version/0.22.0/generated/pandas.MultiIndex.equals.html also MultiIndex.equal_levels: https://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.MultiIndex.equal_levels.html

enhancement

I discovered this when working with dataframes containing segarrays since the recent change in df indexing (see https://github.com/Bears-R-Us/arkouda/pull/3109) has changed what is returned ```python >>> test_df = ak.DataFrame({'test': ak.SegArray(ak.arange(10), ak.arange(10))})...

bug

After seeing more results gathered on different machines showing mixed results for the new Parquet string optimization, we have decided to make some changes and go back towards a simpler...

After seeing more results gathered on different machines showing mixed results for the new Parquet string optimization, we have decided to make some changes and go back towards a simpler...

Closes #3217: MultiIndex.get_level_values Adds MultiIndex.get_level_values to match pandas: https://pandas.pydata.org/docs/reference/api/pandas.MultiIndex.get_level_values.html

Add MultiIndex.get_level_values to match pandas: https://pandas.pydata.org/docs/reference/api/pandas.MultiIndex.get_level_values.html

enhancement

Closes #3215: Index.__get__item can accept a list Index.__get__item can accept a list when the length of the list is less than `Index.max_list_length`.