Fix unused import and docstrings per pep8radius docformatter; change other uses of assert_index_equal to testing instead os self

Author: nateyoder

Diff for: pandas/core/categorical.py

@@ -930,8 +930,7 @@ def remove_unused_categories(self, inplace=False):
             return cat
 
     def map(self, mapper):
-        """
-        Apply mapper function to its categories (not codes).
+        """Apply mapper function to its categories (not codes).
 
         Parameters
         ----------
@@ -944,6 +943,7 @@ def map(self, mapper):
         Returns
         -------
         applied : Categorical or Index.
+
         """
         new_categories = self.categories.map(mapper)
         try:

Diff for: pandas/indexes/base.py

@@ -2427,8 +2427,7 @@ def groupby(self, values):
         return result
 
     def map(self, mapper):
-        """
-        Apply mapper function to an index.
+        """Apply mapper function to an index.
 
         Parameters
         ----------
@@ -2441,6 +2440,7 @@ def map(self, mapper):
             The output of the mapping function applied to the index.
             If the function returns a tuple with more than one element
             a MultiIndex will be returned.
+
         """
         from .multi import MultiIndex
         mapped_values = self._arrmap(self.values, mapper)

Diff for: pandas/indexes/category.py

@@ -517,8 +517,7 @@ def take(self, indices, axis=0, allow_fill=True,
         return self._create_from_codes(taken)
 
     def map(self, mapper):
-        """
-        Apply mapper function to its categories (not codes).
+        """Apply mapper function to its categories (not codes).
 
         Parameters
         ----------
@@ -531,6 +530,7 @@ def map(self, mapper):
         Returns
         -------
         applied : CategoricalIndex or Index
+
         """
         return self._shallow_copy_with_infer(self.values.map(mapper))
 

Diff for: pandas/tests/indexes/test_base.py

@@ -770,7 +770,7 @@ def test_sub(self):
     def test_map_identity_mapping(self):
         # GH 12766
         for name, cur_index in self.indices.items():
-            self.assert_index_equal(cur_index, cur_index.map(lambda x: x))
+            tm.assert_index_equal(cur_index, cur_index.map(lambda x: x))
 
     def test_map_with_tuples(self):
         # GH 12766
@@ -779,35 +779,35 @@ def test_map_with_tuples(self):
         #   returns an Index.
         boolean_index = tm.makeIntIndex(3).map(lambda x: (x,))
         expected = Index([(0,), (1,), (2,)])
-        self.assert_index_equal(boolean_index, expected)
+        tm.assert_index_equal(boolean_index, expected)
 
         # Test that returning a tuple from a map of a single index
         #   returns a MultiIndex object.
         boolean_index = tm.makeIntIndex(3).map(lambda x: (x, x == 1))
         expected = MultiIndex.from_tuples([(0, False), (1, True), (2, False)])
-        self.assert_index_equal(boolean_index, expected)
+        tm.assert_index_equal(boolean_index, expected)
 
         # Test that returning a single object from a MultiIndex
         #   returns an Index.
         first_level = ['foo', 'bar', 'baz']
         multi_index = MultiIndex.from_tuples(lzip(first_level, [1, 2, 3]))
         reduced_index = multi_index.map(lambda x: x[0])
-        self.assert_index_equal(reduced_index, Index(first_level))
+        tm.assert_index_equal(reduced_index, Index(first_level))
 
     def test_map_tseries_indices_return_index(self):
         date_index = tm.makeDateIndex(10)
         exp = Index([1] * 10)
-        self.assert_index_equal(exp, date_index.map(lambda x: 1))
+        tm.assert_index_equal(exp, date_index.map(lambda x: 1))
 
         period_index = tm.makePeriodIndex(10)
-        self.assert_index_equal(exp, period_index.map(lambda x: 1))
+        tm.assert_index_equal(exp, period_index.map(lambda x: 1))
 
         tdelta_index = tm.makeTimedeltaIndex(10)
-        self.assert_index_equal(exp, tdelta_index.map(lambda x: 1))
+        tm.assert_index_equal(exp, tdelta_index.map(lambda x: 1))
 
         date_index = tm.makeDateIndex(24, freq='h', name='hourly')
         exp = Index(range(24), name='hourly')
-        self.assert_index_equal(exp, date_index.map(lambda x: x.hour))
+        tm.assert_index_equal(exp, date_index.map(lambda x: x.hour))
 
     def test_append_multiple(self):
         index = Index(['a', 'b', 'c', 'd', 'e', 'f'])

Diff for: pandas/tseries/base.py

@@ -27,7 +27,6 @@
 from pandas.util.decorators import Appender, cache_readonly
 import pandas.types.concat as _concat
 import pandas.tseries.frequencies as frequencies
-import pandas.algos as _algos
 
 
 class DatelikeOps(object):

Diff for: pandas/tseries/tests/test_timedeltas.py

@@ -1514,7 +1514,7 @@ def test_map(self):
         f = lambda x: x.days
         result = rng.map(f)
         exp = Int64Index([f(x) for x in rng])
-        self.assert_index_equal(result, exp)
+        tm.assert_index_equal(result, exp)
 
     def test_misc_coverage(self):
 

Diff for: pandas/tseries/tests/test_timeseries.py

@@ -3701,7 +3701,7 @@ def test_map_bug_1677(self):
 
         result = index.map(f)
         expected = Index([f(index[0])])
-        self.assert_index_equal(result, expected)
+        tm.assert_index_equal(result, expected)
 
     def test_groupby_function_tuple_1677(self):
         df = DataFrame(np.random.rand(100),