MAINT: Remove assertRaises from testing (pandas-dev#16089)

pandas/tests/api/test_types.py

@@ -1,5 +1,7 @@
 # -*- coding: utf-8 -*-
 
+import pytest
+
 from warnings import catch_warnings
 import numpy as np
 
@@ -41,13 +43,11 @@ def check_deprecation(self, fold, fnew):
             try:
                 result = fold('foo')
                 expected = fnew('foo')
-                self.assertEqual(result, expected)
+                assert result == expected
             except TypeError:
-                self.assertRaises(TypeError,
-                                  lambda: fnew('foo'))
+                pytest.raises(TypeError, lambda: fnew('foo'))
             except AttributeError:
-                self.assertRaises(AttributeError,
-                                  lambda: fnew('foo'))
+                pytest.raises(AttributeError, lambda: fnew('foo'))
 
     def test_deprecation_core_common(self):
 
@@ -83,7 +83,7 @@ def test_removed_from_core_common(self):
 
         for t in ['is_null_datelike_scalar',
                   'ensure_float']:
-            self.assertRaises(AttributeError, lambda: getattr(com, t))
+            pytest.raises(AttributeError, lambda: getattr(com, t))
 
 
 def test_moved_infer_dtype():

pandas/tests/computation/test_compat.py

@@ -2,7 +2,6 @@
 from distutils.version import LooseVersion
 
 import pandas as pd
-from pandas.util import testing as tm
 
 from pandas.core.computation.engines import _engines
 import pandas.core.computation.expr as expr
@@ -39,7 +38,7 @@ def testit():
             pytest.skip("no numexpr")
         else:
             if ne.__version__ < LooseVersion(_MIN_NUMEXPR_VERSION):
-                with tm.assertRaises(ImportError):
+                with pytest.raises(ImportError):
                     testit()
             else:
                 testit()

pandas/tests/dtypes/test_cast.py

@@ -293,7 +293,7 @@ def test_numpy_dtypes(self):
         for src, common in testcases:
             self.assertEqual(find_common_type(src), common)
 
-        with tm.assertRaises(ValueError):
+        with pytest.raises(ValueError):
             # empty
             find_common_type([])
 

pandas/tests/dtypes/test_dtypes.py

@@ -1,4 +1,6 @@
 # -*- coding: utf-8 -*-
+import pytest
+
 from itertools import product
 
 import numpy as np
@@ -25,23 +27,18 @@ def test_hash(self):
         hash(self.dtype)
 
     def test_equality_invalid(self):
-        self.assertRaises(self.dtype == 'foo')
-        self.assertFalse(is_dtype_equal(self.dtype, np.int64))
+        assert not self.dtype == 'foo'
+        assert not is_dtype_equal(self.dtype, np.int64)
 
     def test_numpy_informed(self):
+        pytest.raises(TypeError, np.dtype, self.dtype)
 
-        # np.dtype doesn't know about our new dtype
-        def f():
-            np.dtype(self.dtype)
-
-        self.assertRaises(TypeError, f)
-
-        self.assertNotEqual(self.dtype, np.str_)
-        self.assertNotEqual(np.str_, self.dtype)
+        assert not self.dtype == np.str_
+        assert not np.str_ == self.dtype
 
     def test_pickle(self):
         result = tm.round_trip_pickle(self.dtype)
-        self.assertEqual(result, self.dtype)
+        assert result == self.dtype
 
 
 class TestCategoricalDtype(Base, tm.TestCase):
@@ -67,7 +64,7 @@ def test_equality(self):
     def test_construction_from_string(self):
         result = CategoricalDtype.construct_from_string('category')
         self.assertTrue(is_dtype_equal(self.dtype, result))
-        self.assertRaises(
+        pytest.raises(
             TypeError, lambda: CategoricalDtype.construct_from_string('foo'))
 
     def test_is_dtype(self):
@@ -116,8 +113,8 @@ def test_hash_vs_equality(self):
         self.assertTrue(hash(dtype) == hash(dtype3))
 
     def test_construction(self):
-        self.assertRaises(ValueError,
-                          lambda: DatetimeTZDtype('ms', 'US/Eastern'))
+        pytest.raises(ValueError,
+                      lambda: DatetimeTZDtype('ms', 'US/Eastern'))
 
     def test_subclass(self):
         a = DatetimeTZDtype('datetime64[ns, US/Eastern]')
@@ -148,8 +145,8 @@ def test_construction_from_string(self):
         result = DatetimeTZDtype.construct_from_string(
             'datetime64[ns, US/Eastern]')
         self.assertTrue(is_dtype_equal(self.dtype, result))
-        self.assertRaises(TypeError,
-                          lambda: DatetimeTZDtype.construct_from_string('foo'))
+        pytest.raises(TypeError,
+                      lambda: DatetimeTZDtype.construct_from_string('foo'))
 
     def test_is_dtype(self):
         self.assertFalse(DatetimeTZDtype.is_dtype(None))
@@ -215,7 +212,7 @@ def test_parser(self):
 
     def test_empty(self):
         dt = DatetimeTZDtype()
-        with tm.assertRaises(AttributeError):
+        with pytest.raises(AttributeError):
             str(dt)
 
 
@@ -225,7 +222,7 @@ def setUp(self):
         self.dtype = PeriodDtype('D')
 
     def test_construction(self):
-        with tm.assertRaises(ValueError):
+        with pytest.raises(ValueError):
             PeriodDtype('xx')
 
         for s in ['period[D]', 'Period[D]', 'D']:
@@ -284,16 +281,16 @@ def test_construction_from_string(self):
         self.assertTrue(is_dtype_equal(self.dtype, result))
         result = PeriodDtype.construct_from_string('period[D]')
         self.assertTrue(is_dtype_equal(self.dtype, result))
-        with tm.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             PeriodDtype.construct_from_string('foo')
-        with tm.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             PeriodDtype.construct_from_string('period[foo]')
-        with tm.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             PeriodDtype.construct_from_string('foo[D]')
 
-        with tm.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             PeriodDtype.construct_from_string('datetime64[ns]')
-        with tm.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             PeriodDtype.construct_from_string('datetime64[ns, US/Eastern]')
 
     def test_is_dtype(self):
@@ -348,7 +345,7 @@ def test_basic(self):
 
     def test_empty(self):
         dt = PeriodDtype()
-        with tm.assertRaises(AttributeError):
+        with pytest.raises(AttributeError):
             str(dt)
 
     def test_not_string(self):
@@ -363,7 +360,7 @@ def setUp(self):
         self.dtype = IntervalDtype('int64')
 
     def test_construction(self):
-        with tm.assertRaises(ValueError):
+        with pytest.raises(ValueError):
             IntervalDtype('xx')
 
         for s in ['interval[int64]', 'Interval[int64]', 'int64']:
@@ -419,11 +416,11 @@ def test_construction_from_string(self):
         self.assertTrue(is_dtype_equal(self.dtype, result))
         result = IntervalDtype.construct_from_string('interval[int64]')
         self.assertTrue(is_dtype_equal(self.dtype, result))
-        with tm.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             IntervalDtype.construct_from_string('foo')
-        with tm.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             IntervalDtype.construct_from_string('interval[foo]')
-        with tm.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             IntervalDtype.construct_from_string('foo[int64]')
 
     def test_equality(self):

pandas/tests/frame/test_alter_axes.py

@@ -2,6 +2,8 @@
 
 from __future__ import print_function
 
+import pytest
+
 from datetime import datetime, timedelta
 
 import numpy as np
@@ -396,7 +398,7 @@ def test_rename(self):
         tm.assert_index_equal(renamed.index, pd.Index(['BAR', 'FOO']))
 
         # have to pass something
-        self.assertRaises(TypeError, self.frame.rename)
+        pytest.raises(TypeError, self.frame.rename)
 
         # partial columns
         renamed = self.frame.rename(columns={'C': 'foo', 'D': 'bar'})

pandas/tests/frame/test_analytics.py

@@ -586,10 +586,10 @@ def test_numeric_only_flag(self):
             tm.assert_series_equal(expected, result)
 
             # df1 has all numbers, df2 has a letter inside
-            self.assertRaises(TypeError, lambda: getattr(df1, meth)
-                              (axis=1, numeric_only=False))
-            self.assertRaises(TypeError, lambda: getattr(df2, meth)
-                              (axis=1, numeric_only=False))
+            pytest.raises(TypeError, lambda: getattr(df1, meth)(
+                axis=1, numeric_only=False))
+            pytest.raises(TypeError, lambda: getattr(df2, meth)(
+                axis=1, numeric_only=False))
 
     def test_cumsum(self):
         self.tsframe.loc[5:10, 0] = nan
@@ -998,7 +998,7 @@ def test_idxmin(self):
                                         skipna=skipna)
                     tm.assert_series_equal(result, expected)
 
-        self.assertRaises(ValueError, frame.idxmin, axis=2)
+        pytest.raises(ValueError, frame.idxmin, axis=2)
 
     def test_idxmax(self):
         frame = self.frame
@@ -1012,7 +1012,7 @@ def test_idxmax(self):
                                         skipna=skipna)
                     tm.assert_series_equal(result, expected)
 
-        self.assertRaises(ValueError, frame.idxmax, axis=2)
+        pytest.raises(ValueError, frame.idxmax, axis=2)
 
     # ----------------------------------------------------------------------
     # Logical reductions
@@ -1087,7 +1087,7 @@ def wrapper(x):
         # assert_series_equal(result, comp)
 
         # bad axis
-        self.assertRaises(ValueError, f, axis=2)
+        pytest.raises(ValueError, f, axis=2)
 
         # make sure works on mixed-type frame
         mixed = self.mixed_frame
@@ -1163,10 +1163,10 @@ def test_isin_with_string_scalar(self):
         df = DataFrame({'vals': [1, 2, 3, 4], 'ids': ['a', 'b', 'f', 'n'],
                         'ids2': ['a', 'n', 'c', 'n']},
                        index=['foo', 'bar', 'baz', 'qux'])
-        with tm.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             df.isin('a')
 
-        with tm.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             df.isin('aaa')
 
     def test_isin_df(self):
@@ -1189,18 +1189,18 @@ def test_isin_df_dupe_values(self):
         # just cols duped
         df2 = DataFrame([[0, 2], [12, 4], [2, np.nan], [4, 5]],
                         columns=['B', 'B'])
-        with tm.assertRaises(ValueError):
+        with pytest.raises(ValueError):
             df1.isin(df2)
 
         # just index duped
         df2 = DataFrame([[0, 2], [12, 4], [2, np.nan], [4, 5]],
                         columns=['A', 'B'], index=[0, 0, 1, 1])
-        with tm.assertRaises(ValueError):
+        with pytest.raises(ValueError):
             df1.isin(df2)
 
         # cols and index:
         df2.columns = ['B', 'B']
-        with tm.assertRaises(ValueError):
+        with pytest.raises(ValueError):
             df1.isin(df2)
 
     def test_isin_dupe_self(self):
@@ -1629,7 +1629,7 @@ def test_round(self):
 
         # Round with a list
         round_list = [1, 2]
-        with self.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             df.round(round_list)
 
         # Round with a dictionary
@@ -1652,34 +1652,34 @@ def test_round(self):
 
         # float input to `decimals`
         non_int_round_dict = {'col1': 1, 'col2': 0.5}
-        with self.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             df.round(non_int_round_dict)
 
         # String input
         non_int_round_dict = {'col1': 1, 'col2': 'foo'}
-        with self.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             df.round(non_int_round_dict)
 
         non_int_round_Series = Series(non_int_round_dict)
-        with self.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             df.round(non_int_round_Series)
 
         # List input
         non_int_round_dict = {'col1': 1, 'col2': [1, 2]}
-        with self.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             df.round(non_int_round_dict)
 
         non_int_round_Series = Series(non_int_round_dict)
-        with self.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             df.round(non_int_round_Series)
 
         # Non integer Series inputs
         non_int_round_Series = Series(non_int_round_dict)
-        with self.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             df.round(non_int_round_Series)
 
         non_int_round_Series = Series(non_int_round_dict)
-        with self.assertRaises(TypeError):
+        with pytest.raises(TypeError):
             df.round(non_int_round_Series)
 
         # Negative numbers
@@ -1700,10 +1700,10 @@ def test_round(self):
 
         if sys.version < LooseVersion('2.7'):
             # Rounding with decimal is a ValueError in Python < 2.7
-            with self.assertRaises(ValueError):
+            with pytest.raises(ValueError):
                 df.round(nan_round_Series)
         else:
-            with self.assertRaises(TypeError):
+            with pytest.raises(TypeError):
                 df.round(nan_round_Series)
 
         # Make sure this doesn't break existing Series.round
@@ -1761,7 +1761,7 @@ def test_round_issue(self):
         tm.assert_index_equal(rounded.index, dfs.index)
 
         decimals = pd.Series([1, 0, 2], index=['A', 'B', 'A'])
-        self.assertRaises(ValueError, df.round, decimals)
+        pytest.raises(ValueError, df.round, decimals)
 
     def test_built_in_round(self):
         if not compat.PY3: