DEPR: Deprecate pandas.np module

doc/source/whatsnew/v1.0.0.rst

@@ -205,6 +205,7 @@ Other enhancements
   (:meth:`~DataFrame.to_parquet` / :func:`read_parquet`) using the `'pyarrow'` engine
   now preserve those data types with pyarrow >= 1.0.0 (:issue:`20612`).
 - The ``partition_cols`` argument in :meth:`DataFrame.to_parquet` now accepts a string (:issue:`27117`)
+- The pandas.np submodule is now deprecated. Import numpy directly instead (:issue:`30296`)
 - :func:`to_parquet` now appropriately handles the ``schema`` argument for user defined schemas in the pyarrow engine. (:issue: `30270`)
 - DataFrame constructor preserve `ExtensionArray` dtype with `ExtensionArray` (:issue:`11363`)
 

pandas/__init__.py

@@ -105,7 +105,6 @@
     to_datetime,
     to_timedelta,
     # misc
-    np,
     Grouper,
     factorize,
     unique,
@@ -189,7 +188,6 @@
 __git_version__ = v.get("full-revisionid")
 del get_versions, v
 
-
 # GH 27101
 # TODO: remove Panel compat in 1.0
 if pandas.compat.PY37:
@@ -211,6 +209,20 @@ class Panel:
                 pass
 
             return Panel
+
+        elif name == "np":
+
+            warnings.warn(
+                "The pandas.np module is deprecated "
+                "and will be removed from pandas in a future version. "
+                "Import numpy directly instead",
+                FutureWarning,
+                stacklevel=2,
+            )
+            import numpy as np
+
+            return np
+
         elif name in {"SparseSeries", "SparseDataFrame"}:
             warnings.warn(
                 "The {} class is removed from pandas. Accessing it from "
@@ -236,6 +248,28 @@ class SparseDataFrame:
     class SparseSeries:
         pass
 
+    class __numpy:
+        def __init__(self):
+            import numpy as np
+            import warnings
+
+            self.np = np
+            self.warnings = warnings
+
+        def __getattr__(self, item):
+            self.warnings.warn(
+                "The pandas.np module is deprecated "
+                "and will be removed from pandas in a future version. "
+                "Import numpy directly instead",
+                FutureWarning,
+                stacklevel=2,
+            )
+            try:
+                return getattr(self.np, item)
+            except AttributeError:
+                raise AttributeError(f"module numpy has no attribute {item}")
+
+    np = __numpy()
 
 # module level doc-string
 __doc__ = """

pandas/core/api.py

@@ -1,7 +1,5 @@
 # flake8: noqa
 
-import numpy as np
-
 from pandas._libs import NaT, Period, Timedelta, Timestamp
 from pandas._libs.missing import NA
 

pandas/tests/api/test_api.py

@@ -20,7 +20,6 @@ def check(self, namespace, expected, ignored=None):
 
 
 class TestPDApi(Base):
-
     # these are optionally imported based on testing
     # & need to be ignored
     ignored = ["tests", "locale", "conftest"]
@@ -93,6 +92,7 @@ class TestPDApi(Base):
     ]
     if not compat.PY37:
         classes.extend(["Panel", "SparseSeries", "SparseDataFrame"])
+        deprecated_modules.append("np")
 
     # these are already deprecated; awaiting removal
     deprecated_classes: List[str] = []
@@ -101,7 +101,7 @@ class TestPDApi(Base):
     deprecated_classes_in_future: List[str] = []
 
     # external modules exposed in pandas namespace
-    modules = ["np", "datetime"]
+    modules = ["datetime"]
 
     # top-level functions
     funcs = [
@@ -220,22 +220,43 @@ def test_api(self):
             self.ignored,
         )
 
+    def test_depr(self):
+        deprecated = (
+            self.deprecated_modules
+            + self.deprecated_classes
+            + self.deprecated_classes_in_future
+            + self.deprecated_funcs
+            + self.deprecated_funcs_in_future
+        )
+        for depr in deprecated:
+            with tm.assert_produces_warning(FutureWarning):
+                if compat.PY37:
+                    getattr(pd, depr)
+                else:
+                    deprecated = getattr(pd, depr)
+                    deprecated.__getattr__(dir(deprecated)[-1])
 
-class TestApi(Base):
 
+def test_np():
+    import numpy as np
+    import warnings
+
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore", FutureWarning)
+        assert (pd.np.arange(0, 10) == np.arange(0, 10)).all()
+
+
+class TestApi(Base):
     allowed = ["types", "extensions", "indexers"]
 
     def test_api(self):
-
         self.check(api, self.allowed)
 
 
 class TestTesting(Base):
-
     funcs = ["assert_frame_equal", "assert_series_equal", "assert_index_equal"]
 
     def test_testing(self):
-
         from pandas import testing
 
         self.check(testing, self.funcs)

pandas/tests/indexes/period/test_indexing.py

@@ -679,7 +679,7 @@ def test_indexing(self):
     def test_period_index_indexer(self):
         # GH4125
         idx = pd.period_range("2002-01", "2003-12", freq="M")
-        df = pd.DataFrame(pd.np.random.randn(24, 10), index=idx)
+        df = pd.DataFrame(np.random.randn(24, 10), index=idx)
         tm.assert_frame_equal(df, df.loc[idx])
         tm.assert_frame_equal(df, df.loc[list(idx)])
         tm.assert_frame_equal(df, df.loc[list(idx)])