DEPS: drop numpy 1.16 #40814 (#40851)

ci/azure/windows.yml

@@ -8,7 +8,7 @@ jobs:
     vmImage: ${{ parameters.vmImage }}
   strategy:
     matrix:
-      py37_np16:
+      py37_np17:
         ENV_FILE: ci/deps/azure-windows-37.yaml
         CONDA_PY: "37"
         PATTERN: "not slow and not network"

ci/deps/actions-37-minimum_versions.yaml

@@ -18,7 +18,7 @@ dependencies:
   - jinja2=2.10
   - numba=0.46.0
   - numexpr=2.6.8
-  - numpy=1.16.5
+  - numpy=1.17.3
   - openpyxl=3.0.0
   - pytables=3.5.1
   - python-dateutil=2.7.3

ci/deps/azure-macos-37.yaml

@@ -19,7 +19,7 @@ dependencies:
   - matplotlib=2.2.3
   - nomkl
   - numexpr
-  - numpy=1.16.5
+  - numpy=1.17.3
   - openpyxl
   - pyarrow=0.15.1
   - pytables

ci/deps/azure-windows-37.yaml

@@ -24,7 +24,7 @@ dependencies:
   - moto>=1.3.14
   - flask
   - numexpr
-  - numpy=1.16.*
+  - numpy=1.17.*
   - openpyxl
   - pyarrow=0.15
   - pytables

doc/source/getting_started/install.rst

@@ -222,7 +222,7 @@ Dependencies
 Package                                                          Minimum supported version
 ================================================================ ==========================
 `setuptools <https://setuptools.readthedocs.io/en/latest/>`__    38.6.0
-`NumPy <https://numpy.org>`__                                    1.16.5
+`NumPy <https://numpy.org>`__                                    1.17.3
 `python-dateutil <https://dateutil.readthedocs.io/en/stable/>`__ 2.7.3
 `pytz <https://pypi.org/project/pytz/>`__                        2017.3
 ================================================================ ==========================

doc/source/whatsnew/v1.3.0.rst

@@ -468,7 +468,7 @@ If installed, we now require:
 +-----------------+-----------------+----------+---------+
 | Package         | Minimum Version | Required | Changed |
 +=================+=================+==========+=========+
-| numpy           | 1.16.5          |    X     |         |
+| numpy           | 1.17.3          |    X     |    X    |
 +-----------------+-----------------+----------+---------+
 | pytz            | 2017.3          |    X     |         |
 +-----------------+-----------------+----------+---------+

environment.yml

@@ -3,7 +3,7 @@ channels:
   - conda-forge
 dependencies:
   # required
-  - numpy>=1.16.5
+  - numpy>=1.17.3
   - python=3
   - python-dateutil>=2.7.3
   - pytz

pandas/__init__.py

@@ -20,7 +20,6 @@
 
 # numpy compat
 from pandas.compat import (
-    np_version_under1p17 as _np_version_under1p17,
     np_version_under1p18 as _np_version_under1p18,
     is_numpy_dev as _is_numpy_dev,
 )

pandas/compat/__init__.py

@@ -16,7 +16,6 @@
     is_numpy_dev,
     np_array_datetime64_compat,
     np_datetime64_compat,
-    np_version_under1p17,
     np_version_under1p18,
     np_version_under1p19,
     np_version_under1p20,
@@ -133,7 +132,6 @@ def get_lzma_file(lzma):
     "is_numpy_dev",
     "np_array_datetime64_compat",
     "np_datetime64_compat",
-    "np_version_under1p17",
     "np_version_under1p18",
     "np_version_under1p19",
     "np_version_under1p20",

pandas/compat/numpy/__init__.py

@@ -8,12 +8,11 @@
 # numpy versioning
 _np_version = np.__version__
 _nlv = LooseVersion(_np_version)
-np_version_under1p17 = _nlv < LooseVersion("1.17")
 np_version_under1p18 = _nlv < LooseVersion("1.18")
 np_version_under1p19 = _nlv < LooseVersion("1.19")
 np_version_under1p20 = _nlv < LooseVersion("1.20")
 is_numpy_dev = ".dev" in str(_nlv)
-_min_numpy_ver = "1.16.5"
+_min_numpy_ver = "1.17.3"
 
 
 if _nlv < _min_numpy_ver:
@@ -65,6 +64,5 @@ def np_array_datetime64_compat(arr, dtype="M8[ns]"):
 __all__ = [
     "np",
     "_np_version",
-    "np_version_under1p17",
     "is_numpy_dev",
 ]

pandas/core/array_algos/masked_reductions.py

@@ -8,7 +8,6 @@
 import numpy as np
 
 from pandas._libs import missing as libmissing
-from pandas.compat import np_version_under1p17
 
 from pandas.core.nanops import check_below_min_count
 
@@ -46,11 +45,7 @@ def _sumprod(
     else:
         if check_below_min_count(values.shape, mask, min_count):
             return libmissing.NA
-
-        if np_version_under1p17:
-            return func(values[~mask])
-        else:
-            return func(values, where=~mask)
+        return func(values, where=~mask)
 
 
 def sum(

pandas/tests/api/test_api.py

@@ -192,7 +192,6 @@ class TestPDApi(Base):
         "_hashtable",
         "_lib",
         "_libs",
-        "_np_version_under1p17",
         "_np_version_under1p18",
         "_is_numpy_dev",
         "_testing",

pandas/tests/computation/test_eval.py

@@ -12,10 +12,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import (
-    is_platform_windows,
-    np_version_under1p17,
-)
 from pandas.errors import PerformanceWarning
 import pandas.util._test_decorators as td
 
@@ -220,22 +216,6 @@ def test_simple_cmp_ops(self, cmp_op):
 
     @pytest.mark.parametrize("op", _good_arith_ops)
     def test_binary_arith_ops(self, op, lhs, rhs, request):
-
-        if (
-            op == "/"
-            and isinstance(lhs, DataFrame)
-            and isinstance(rhs, DataFrame)
-            and not lhs.isna().any().any()
-            and rhs.shape == (10, 5)
-            and np_version_under1p17
-            and is_platform_windows()
-            and compat.PY38
-        ):
-            mark = pytest.mark.xfail(
-                reason="GH#37328 floating point precision on Windows builds"
-            )
-            request.node.add_marker(mark)
-
         self.check_binary_arith_op(lhs, op, rhs)
 
     def test_modulus(self, lhs, rhs):

pandas/tests/extension/base/dim2.py

@@ -4,26 +4,10 @@
 import numpy as np
 import pytest
 
-from pandas.compat import np_version_under1p17
-
 import pandas as pd
-from pandas.core.arrays import (
-    FloatingArray,
-    IntegerArray,
-)
 from pandas.tests.extension.base.base import BaseExtensionTests
 
 
-def maybe_xfail_masked_reductions(arr, request):
-    if (
-        isinstance(arr, (FloatingArray, IntegerArray))
-        and np_version_under1p17
-        and arr.ndim == 2
-    ):
-        mark = pytest.mark.xfail(reason="masked_reductions does not implement")
-        request.node.add_marker(mark)
-
-
 class Dim2CompatTests(BaseExtensionTests):
     def test_swapaxes(self, data):
         arr2d = data.repeat(2).reshape(-1, 2)
@@ -148,7 +132,6 @@ def test_reductions_2d_axis_none(self, data, method, request):
             pytest.skip("test is not applicable for this type/dtype")
 
         arr2d = data.reshape(1, -1)
-        maybe_xfail_masked_reductions(arr2d, request)
 
         err_expected = None
         err_result = None
@@ -177,7 +160,6 @@ def test_reductions_2d_axis0(self, data, method, request):
             pytest.skip("test is not applicable for this type/dtype")
 
         arr2d = data.reshape(1, -1)
-        maybe_xfail_masked_reductions(arr2d, request)
 
         kwargs = {}
         if method == "std":
@@ -225,7 +207,6 @@ def test_reductions_2d_axis1(self, data, method, request):
             pytest.skip("test is not applicable for this type/dtype")
 
         arr2d = data.reshape(1, -1)
-        maybe_xfail_masked_reductions(arr2d, request)
 
         try:
             result = getattr(arr2d, method)(axis=1)

pandas/tests/frame/methods/test_sample.py

@@ -1,7 +1,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat import np_version_under1p17
+from pandas.compat import np_version_under1p18
 
 from pandas import (
     DataFrame,
@@ -158,12 +158,12 @@ def test_sample_none_weights(self, obj):
             pytest.param(
                 "np.random.MT19937",
                 3,
-                marks=pytest.mark.skipif(np_version_under1p17, reason="NumPy<1.17"),
+                marks=pytest.mark.skipif(np_version_under1p18, reason="NumPy<1.18"),
             ),
             pytest.param(
                 "np.random.PCG64",
                 11,
-                marks=pytest.mark.skipif(np_version_under1p17, reason="NumPy<1.17"),
+                marks=pytest.mark.skipif(np_version_under1p18, reason="NumPy<1.18"),
             ),
         ],
     )

pandas/tests/indexes/multi/test_analytics.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import np_version_under1p17
-
 import pandas as pd
 from pandas import (
     Index,
@@ -246,15 +244,11 @@ def test_numpy_ufuncs(idx, func):
     # test ufuncs of numpy. see:
     # https://numpy.org/doc/stable/reference/ufuncs.html
 
-    if np_version_under1p17:
-        expected_exception = AttributeError
-        msg = f"'tuple' object has no attribute '{func.__name__}'"
-    else:
-        expected_exception = TypeError
-        msg = (
-            "loop of ufunc does not support argument 0 of type tuple which "
-            f"has no callable {func.__name__} method"
-        )
+    expected_exception = TypeError
+    msg = (
+        "loop of ufunc does not support argument 0 of type tuple which "
+        f"has no callable {func.__name__} method"
+    )
     with pytest.raises(expected_exception, match=msg):
         func(idx)
 

pandas/tests/indexes/test_numpy_compat.py

@@ -1,10 +1,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat import (
-    np_version_under1p17,
-    np_version_under1p18,
-)
+from pandas.compat import np_version_under1p18
 
 from pandas import (
     DatetimeIndex,
@@ -81,18 +78,24 @@ def test_numpy_ufuncs_other(index, func, request):
     # test ufuncs of numpy, see:
     # https://numpy.org/doc/stable/reference/ufuncs.html
     if isinstance(index, (DatetimeIndex, TimedeltaIndex)):
-        if isinstance(index, DatetimeIndex) and index.tz is not None:
-            if func in [np.isfinite, np.isnan, np.isinf]:
-                if not np_version_under1p17:
-                    mark = pytest.mark.xfail(reason="__array_ufunc__ is not defined")
-                    request.node.add_marker(mark)
+        if (
+            isinstance(index, DatetimeIndex)
+            and index.tz is not None
+            and func in [np.isfinite, np.isnan, np.isinf]
+            and (
+                not np_version_under1p18
+                or (np_version_under1p18 and func is np.isfinite)
+            )
+        ):
+            mark = pytest.mark.xfail(reason="__array_ufunc__ is not defined")
+            request.node.add_marker(mark)
 
         if not np_version_under1p18 and func in [np.isfinite, np.isinf, np.isnan]:
             # numpy 1.18(dev) changed isinf and isnan to not raise on dt64/tfd64
             result = func(index)
             assert isinstance(result, np.ndarray)
 
-        elif not np_version_under1p17 and func in [np.isfinite]:
+        elif func is np.isfinite:
             # ok under numpy >= 1.17
             # Results in bool array
             result = func(index)

pandas/tests/test_common.py

@@ -6,7 +6,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat import np_version_under1p17
+from pandas.compat import np_version_under1p18
 
 import pandas as pd
 from pandas import Series
@@ -72,7 +72,7 @@ def test_random_state():
 
     # Check BitGenerators
     # GH32503
-    if not np_version_under1p17:
+    if not np_version_under1p18:
         assert (
             com.random_state(npr.MT19937(3)).uniform()
             == npr.RandomState(npr.MT19937(3)).uniform()

pyproject.toml

@@ -5,8 +5,8 @@ requires = [
     "setuptools>=38.6.0",
     "wheel",
     "Cython>=0.29.21,<3",  # Note: sync with setup.py
-    "numpy==1.16.5; python_version=='3.7'",
-    "numpy==1.17.3; python_version=='3.8'",
+    "numpy==1.17.3; python_version=='3.7'",
+    "numpy==1.18.3; python_version=='3.8'",
     "numpy; python_version>='3.9'",
 ]
 # uncomment to enable pep517 after versioneer problem is fixed.

requirements-dev.txt

@@ -1,7 +1,7 @@
 # This file is auto-generated from environment.yml, do not modify.
 # See that file for comments about the need/usage of each dependency.
 
-numpy>=1.16.5
+numpy>=1.17.3
 python-dateutil>=2.7.3
 pytz
 asv

setup.cfg

@@ -31,7 +31,7 @@ project_urls =
 [options]
 packages = find:
 install_requires =
-    numpy>=1.16.5
+    numpy>=1.17.3
     python-dateutil>=2.7.3
     pytz>=2017.3
 python_requires = >=3.7.1