10000 REF/BUG/API: factorizing categorical data by TomAugspurger · Pull Request #19938 · pandas-dev/pandas · GitHub
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REF/BUG/API: factorizing categorical data #19938

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Merged
merged 14 commits into from
Mar 15, 2018
Merged

REF/BUG/API: factorizing categorical data #19938

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18de376
REF/BUG/API: factorizing categorical data
TomAugspurger Feb 23, 2018
9ef5be2
Explicit dtype for expected
TomAugspurger Feb 28, 2018
5e52b6f
Clean : imports / remove sort
TomAugspurger Mar 6, 2018
e19ae86
Merge remote-tracking branch 'upstream/master' into categorical-facto…
TomAugspurger Mar 6, 2018
121b682
Restore sort
TomAugspurger Mar 6, 2018
a6bc405
REF: remove sort from Categorical.factorize
TomAugspurger Mar 9, 2018
0bfbc47
Updated comment
TomAugspurger Mar 9, 2018
b25f383
Merge remote-tracking branch 'upstream/master' into categorical-facto…
TomAugspurger Mar 12, 2018
2688c4f
Fixed new sort algo
TomAugspurger Mar 12, 2018
2395a99
Merge remote-tracking branch 'upstream/master' into categorical-facto…
TomAugspurger Mar 12, 2018
ab4f01c
Implement interface
TomAugspurger Mar 13, 2018
65150f4
Merge remote-tracking branch 'upstream/master' into categorical-facto…
TomAugspurger Mar 13, 2018
ad8173b
Merge remote-tracking branch 'upstream/master' into categorical-facto…
TomAugspurger Mar 13, 2018
1e006d1
Merge remote-tracking branch 'upstream/master' into categorical-facto…
TomAugspurger Mar 14, 2018
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Explicit dtype for expected
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@TomAugspurger
TomAugspurger committed Feb 28, 2018
commit 9ef5be218ca60aea53e24b2c2ae322413e9b401e
6 changes: 3 additions & 3 deletions pandas/tests/categorical/test_algos.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ def test_factorize(categories, ordered):
categories=categories,
ordered=ordered)
labels, uniques = pd.factorize(cat)
expected_labels = np.array([0, 0, 1, 2, -1])
expected_labels = np.array([0, 0, 1, 2, -1], dtype='int64')
expected_uniques = pd.Categorical(['b', 'a', 'c'],
categories=categories,
ordered=ordered)
Expand All @@ -27,7 +27,7 @@ def test_factorize(categories, ordered):
def test_factorized_sort():
cat = pd.Categorical(['b', 'b', None, 'a'])
labels, uniques = pd.factorize(cat, sort=True)
expected_labels = np.array([1, 1, -1, 0])
expected_labels = np.array([1, 1, -1, 0], dtype='int64')
expected_uniques = pd.Categorical(['a', 'b'])

tm.assert_numpy_array_equal(labels, expected_labels)
Expand All @@ -40,7 +40,7 @@ def test_factorized_sort_ordered():
ordered=True)

labels, uniques = pd.factorize(cat, sort=True)
expected_labels = np.array([0, 0, -1, 1])
expected_labels = np.array([0, 0, -1, 1], dtype='int64')
expected_uniques = pd.Categorical(['b', 'a'],
categories=['c', 'b', 'a'],
ordered=True)
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