ajpotts

ak.broadcast gives the incorrect value for float64 nan values. See the following examples: Correct: ```python ak.broadcast(ak.array([0 ,2,4]), ak.array([1.0, 5.0,25.0]), permutation=ak.array([0, 1, 2, 3, 4])) array([1.00000000000000000 1.00000000000000000 5.00000000000000000 5.00000000000000000 25.00000000000000000]) ```...

Replicate functionality of numpy.repeat: https://numpy.org/doc/stable/reference/generated/numpy.repeat.html

Replicate the functionality of numpy.logspace: https://numpy.org/doc/stable/reference/generated/numpy.logspace.html

Replicate the functionality of numpy.diff: https://numpy.org/doc/stable/reference/generated/numpy.diff.html

Series.concat function should match pandas: https://pandas.pydata.org/docs/reference/api/pandas.concat.html Currently this test fails: ```python s = ak.Series(ak.arange(5)) s2 = ak.Series(ak.arange(5, 11), ak.arange(5, 11)) s3 = ak.Series(ak.arange(5, 10), ak.arange(5, 10)) df = ak.Series.concat([s, s2],...

Some PROTO_tests/tests/series_test.py unit tests are failing. Ticket will be closed when all unit tests in this module pass.

Add DataFrame.apply function to match pandas: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.apply.html

Add a DataFrame.map function to match what is in pandas: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.map.html#pandas.DataFrame.map

create stats package

1

Create a statistical package for arkouda.

Please add a function allclose to match the functionality in numpy: https://numpy.org/doc/stable/reference/generated/numpy.allclose.html