Fix docs build

modin-project · Jun 12, 2022 · a4c3045 · a4c3045
1 parent 03e0203
commit a4c3045
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Showing 5 changed files with 11 additions and 10 deletions.
diff --git a/docs/release_notes/release_notes-0.16.0.rst b/docs/release_notes/release_notes-0.16.0.rst
@@ -6,7 +6,7 @@ Key Features and Updates
 ------------------------
 
 * Stability and Bugfixes
-  *
+  * FIX-#4570: Replace ``np.bool`` -> ``np.bool_`` (#4571)
 * Performance enhancements
   *
 * Benchmarking enhancements
@@ -32,4 +32,5 @@ Key Features and Updates
 
 Contributors
 ------------
-@mvashishtha
+@mvashishtha
+@NickCrews
diff --git a/modin/pandas/base.py b/modin/pandas/base.py
@@ -739,7 +739,7 @@ def all(
                             type(self).__name__, "all"
                         )
                     )
-                data_for_compute = self[self.columns[self.dtypes == np.bool]]
+                data_for_compute = self[self.columns[self.dtypes == bool]]
                 return data_for_compute.all(
                     axis=axis, bool_only=False, skipna=skipna, level=level, **kwargs
                 )
@@ -802,7 +802,7 @@ def any(
                             type(self).__name__, "all"
                         )
                     )
-                data_for_compute = self[self.columns[self.dtypes == np.bool]]
+                data_for_compute = self[self.columns[self.dtypes == bool]]
                 return data_for_compute.any(
                     axis=axis, bool_only=False, skipna=skipna, level=level, **kwargs
                 )
@@ -1105,7 +1105,7 @@ def count(self, axis=0, level=None, numeric_only=False):  # noqa: PR01, RT01, D2
         Count non-NA cells for `BasePandasDataset`.
         """
         axis = self._get_axis_number(axis)
-        frame = self.select_dtypes([np.number, np.bool]) if numeric_only else self
+        frame = self.select_dtypes([np.number, bool]) if numeric_only else self
 
         if level is not None:
             if not frame._query_compiler.has_multiindex(axis=axis):

diff --git a/modin/pandas/series.py b/modin/pandas/series.py
@@ -2441,7 +2441,7 @@ def _getitem(self, key):
             Series with retrieved data.
         """
         key = apply_if_callable(key, self)
-        if isinstance(key, Series) and key.dtype == np.bool:
+        if isinstance(key, Series) and key.dtype == bool:
             # This ends up being significantly faster than looping through and getting
             # each item individually.
             key = key._to_pandas()

diff --git a/modin/pandas/test/dataframe/test_reduce.py b/modin/pandas/test/dataframe/test_reduce.py
@@ -186,7 +186,7 @@ def test_2195(datetime_is_numeric, has_numeric_column):
     [
         ([np.float64], None),
         (np.float64, None),
-        (None, [np.timedelta64, np.datetime64, np.object, np.bool]),
+        (None, [np.timedelta64, np.datetime64, np.object, bool]),
         (None, "all"),
         (None, np.number),
     ],

diff --git a/modin/pandas/test/test_series.py b/modin/pandas/test/test_series.py
@@ -1393,16 +1393,16 @@ def test_describe(data):
 
     try:
         pandas_result = pandas_series.describe(
-            include=[np.timedelta64, np.datetime64, np.object, np.bool]
+            include=[np.timedelta64, np.datetime64, np.object, bool]
         )
     except Exception as e:
         with pytest.raises(type(e)):
             modin_series.describe(
-                include=[np.timedelta64, np.datetime64, np.object, np.bool]
+                include=[np.timedelta64, np.datetime64, np.object, bool]
             )
     else:
         modin_result = modin_series.describe(
-            include=[np.timedelta64, np.datetime64, np.object, np.bool]
+            include=[np.timedelta64, np.datetime64, np.object, bool]
         )
         df_equals(modin_result, pandas_result)