ajpotts

Please add more thorough unit test coverage for groupby aggregations.

DataFrame.dropna should have an inplace option to match pandas: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dropna.html

DataFrame.dropna should have a subset option to match pandas: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dropna.html

If DataFrame.dropna returns an empty DataFrame, due to all values being filtered out, the result should still have an index to match pandas. https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dropna.html

Update DataFrame dropna function to remove zeros from numeric columns and empty strings from string columns. https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dropna.html Depends on ticket:https://github.com/Bears-R-Us/arkouda/issues/3103

For DataFrame all and any functions, add the bool_only option to match pandas: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.all.html

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

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

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

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