File pandas-pr49886-fix-numpy-deprecations.patch of Package python-pandas

Overview Repositories Revisions Requests Users Attributes Meta

File pandas-pr49886-fix-numpy-deprecations.patch of Package python-pandas (Revision fe3fcc540ba78a7c22b090e6e4f304bb)

Currently displaying revision fe3fcc540ba78a7c22b090e6e4f304bb , Show latest

From a0e1b0c28dfccd9a3f9e9e2794ef109e950d1a08 Mon Sep 17 00:00:00 2001
From: Patrick Hoefler <61934744+phofl@users.noreply.github.com>
Date: Thu, 24 Nov 2022 11:58:42 +0000
Subject: [PATCH] Backport PR #49886: CI: Remove deprecated numpy dtype aliases

---
 asv_bench/benchmarks/sparse.py                | 4 ++--
 pandas/core/arrays/sparse/array.py            | 4 ++--
 pandas/core/interchange/column.py             | 2 +-
 pandas/tests/arrays/sparse/test_indexing.py   | 4 ++--
 pandas/tests/arrays/sparse/test_reductions.py | 2 +-
 pandas/tests/arrays/sparse/test_unary.py      | 4 ++--
 pandas/tests/io/excel/test_writers.py         | 9 ++++-----
 7 files changed, 14 insertions(+), 15 deletions(-)

Index: pandas-1.5.2/pandas/core/arrays/sparse/array.py
===================================================================
--- pandas-1.5.2.orig/pandas/core/arrays/sparse/array.py
+++ pandas-1.5.2/pandas/core/arrays/sparse/array.py
@@ -728,7 +728,7 @@ class SparseArray(OpsMixin, PandasObject
         dtype = SparseDtype(bool, self._null_fill_value)
         if self._null_fill_value:
             return type(self)._simple_new(isna(self.sp_values), self.sp_index, dtype)
-        mask = np.full(len(self), False, dtype=np.bool8)
+        mask = np.full(len(self), False, dtype=np.bool_)
         mask[self.sp_index.indices] = isna(self.sp_values)
         return type(self)(mask, fill_value=False, dtype=dtype)
 
@@ -1043,7 +1043,7 @@ class SparseArray(OpsMixin, PandasObject
                     if not key.fill_value:
                         return self.take(key.sp_index.indices)
                     n = len(self)
-                    mask = np.full(n, True, dtype=np.bool8)
+                    mask = np.full(n, True, dtype=np.bool_)
                     mask[key.sp_index.indices] = False
                     return self.take(np.arange(n)[mask])
                 else:
Index: pandas-1.5.2/pandas/core/interchange/column.py
===================================================================
--- pandas-1.5.2.orig/pandas/core/interchange/column.py
+++ pandas-1.5.2/pandas/core/interchange/column.py
@@ -315,7 +315,7 @@ class PandasColumn(Column):
             valid = invalid == 0
             invalid = not valid
 
-            mask = np.zeros(shape=(len(buf),), dtype=np.bool8)
+            mask = np.zeros(shape=(len(buf),), dtype=np.bool_)
             for i, obj in enumerate(buf):
                 mask[i] = valid if isinstance(obj, str) else invalid
 
Index: pandas-1.5.2/pandas/tests/arrays/sparse/test_indexing.py
===================================================================
--- pandas-1.5.2.orig/pandas/tests/arrays/sparse/test_indexing.py
+++ pandas-1.5.2/pandas/tests/arrays/sparse/test_indexing.py
@@ -85,7 +85,7 @@ class TestGetitem:
 
     def test_getitem_bool_sparse_array(self):
         # GH 23122
-        spar_bool = SparseArray([False, True] * 5, dtype=np.bool8, fill_value=True)
+        spar_bool = SparseArray([False, True] * 5, dtype=np.bool_, fill_value=True)
         exp = SparseArray([np.nan, 2, np.nan, 5, 6])
         tm.assert_sp_array_equal(arr[spar_bool], exp)
 
@@ -95,7 +95,7 @@ class TestGetitem:
         tm.assert_sp_array_equal(res, exp)
 
         spar_bool = SparseArray(
-            [False, True, np.nan] * 3, dtype=np.bool8, fill_value=np.nan
+            [False, True, np.nan] * 3, dtype=np.bool_, fill_value=np.nan
         )
         res = arr[spar_bool]
         exp = SparseArray([np.nan, 3, 5])
Index: pandas-1.5.2/pandas/tests/arrays/sparse/test_reductions.py
===================================================================
--- pandas-1.5.2.orig/pandas/tests/arrays/sparse/test_reductions.py
+++ pandas-1.5.2/pandas/tests/arrays/sparse/test_reductions.py
@@ -142,7 +142,7 @@ class TestReductions:
             assert result == expected
 
     def test_bool_sum_min_count(self):
-        spar_bool = SparseArray([False, True] * 5, dtype=np.bool8, fill_value=True)
+        spar_bool = SparseArray([False, True] * 5, dtype=np.bool_, fill_value=True)
         res = spar_bool.sum(min_count=1)
         assert res == 5
         res = spar_bool.sum(min_count=11)
Index: pandas-1.5.2/pandas/tests/arrays/sparse/test_unary.py
===================================================================
--- pandas-1.5.2.orig/pandas/tests/arrays/sparse/test_unary.py
+++ pandas-1.5.2/pandas/tests/arrays/sparse/test_unary.py
@@ -59,9 +59,9 @@ class TestUnaryMethods:
         tm.assert_sp_array_equal(exp, res)
 
     def test_invert_operator(self):
-        arr = SparseArray([False, True, False, True], fill_value=False, dtype=np.bool8)
+        arr = SparseArray([False, True, False, True], fill_value=False, dtype=np.bool_)
         exp = SparseArray(
-            np.invert([False, True, False, True]), fill_value=True, dtype=np.bool8
+            np.invert([False, True, False, True]), fill_value=True, dtype=np.bool_
         )
         res = ~arr
         tm.assert_sp_array_equal(exp, res)
Index: pandas-1.5.2/pandas/tests/io/excel/test_writers.py
===================================================================
--- pandas-1.5.2.orig/pandas/tests/io/excel/test_writers.py
+++ pandas-1.5.2/pandas/tests/io/excel/test_writers.py
@@ -496,15 +496,14 @@ class TestExcelWriter:
 
         tm.assert_frame_equal(df, recons)
 
-    @pytest.mark.parametrize("np_type", [np.bool8, np.bool_])
-    def test_bool_types(self, np_type, path):
-        # Test np.bool8 and np.bool_ values read come back as float.
-        df = DataFrame([1, 0, True, False], dtype=np_type)
+    def test_bool_types(self, path):
+        # Test np.bool_ values read come back as float.
+        df = DataFrame([1, 0, True, False], dtype=np.bool_)
         df.to_excel(path, "test1")
 
         with ExcelFile(path) as reader:
             recons = pd.read_excel(reader, sheet_name="test1", index_col=0).astype(
-                np_type
+                np.bool_
             )
 
         tm.assert_frame_equal(df, recons)

Places

File pandas-pr49886-fix-numpy-deprecations.patch of Package python-pandas (Revision fe3fcc540ba78a7c22b090e6e4f304bb)

Places