TST/ENH: Enabel encode_categorical handle 2 (or more ) dimensions array

[Zeroto521]

PR Description

Please describe the changes proposed in the pull request:

test_categories_ndim_array_gt_1_in_kwargs should raise error in

pyjanitor/janitor/functions/encode_categorical.py

Lines 196 to 201 in ae01b7d

	arr_ndim = value.ndim
	if (arr_ndim != 1) or isinstance(value, pd.MultiIndex):
	raise ValueError(
	f"{value} is not a 1-D array. "
	"Kindly provide a 1-D array-like object."
	)

when input is array = [[1, 1, 2, 2], ["red", "blue", "red", "blue"]] the ndim of pd.Index(array) is 1 not 2.
It's better to convert ndarray object first.

__________________ test_categories_ndim_array_gt_1_in_kwargs ___________________
[gw0] linux -- Python 3.10.5 /usr/share/miniconda3/envs/test/bin/python

df_checks =                        region  2007  2009
0                     Pacific  1039  2587
1                   Southwest    51   176
2  Rocky Mountains and Plains   200   338

    def test_categories_ndim_array_gt_1_in_kwargs(df_checks):
        """
        Raise ValueError if categories is provided, but is not a 1D array.
        """
        arrays = [[1, 1, 2, 2], ["red", "blue", "red", "blue"]]
        with pytest.raises(ValueError):
>           df_checks.encode_categorical(region=arrays)

tests/functions/test_encode_categorical.py:125: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/usr/share/miniconda3/envs/test/lib/python3.10/site-packages/pandas_flavor/register.py:29: in __call__
    return method(self._obj, *args, **kwargs)
janitor/utils.py:283: in wrapper
    return func(*args, **kwargs)
janitor/functions/encode_categorical.py:121: in encode_categorical
    return _computations_as_categorical(df, **kwargs)
janitor/functions/encode_categorical.py:136: in _computations_as_categorical
    categories_dict = _as_categorical_checks(df, **kwargs)
janitor/functions/encode_categorical.py:211: in _as_categorical_checks
    if not value.is_unique:
pandas/_libs/properties.pyx:37: in pandas._libs.properties.CachedProperty.__get__
    ???
/usr/share/miniconda3/envs/test/lib/python3.10/site-packages/pandas/core/indexes/base.py:2237: in is_unique
    return self._engine.is_unique
pandas/_libs/index.pyx:223: in pandas._libs.index.IndexEngine.is_unique.__get__
    ???
pandas/_libs/index.pyx:230: in pandas._libs.index.IndexEngine._do_unique_check
    ???
pandas/_libs/index.pyx:287: in pandas._libs.index.IndexEngine._ensure_mapping_populated
    ???
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

>   ???
E   TypeError: unhashable type: 'list'

pandas/_libs/hashtable_class_helper.pxi:5231: TypeError

This PR resolves #1143.

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• @ericmjl

[Zeroto521]

It will convert value to pd.Index again in line 203.

[Zeroto521]

lint via isort

[codecov]

Codecov Report

Merging #1153 (f0ad5c2) into dev (ae01b7d) will not change coverage.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##              dev    #1153   +/-   ##
=======================================
  Coverage   97.34%   97.34%           
=======================================
  Files          77       77           
  Lines        3240     3240           
=======================================
  Hits         3154     3154           
  Misses         86       86           

[Zeroto521]

arr_ndim only comes once, so use value.ndim directly