DEPS: bump min numexpr version to 2.7.0

ci/deps/actions-37-minimum_versions.yaml

@@ -17,7 +17,7 @@ dependencies:
   - bottleneck=1.2.1
   - jinja2=2.10
   - numba=0.46.0
-  - numexpr=2.6.8
+  - numexpr=2.7.0
   - numpy=1.17.3
   - openpyxl=3.0.0
   - pytables=3.5.1

doc/source/getting_started/install.rst

@@ -234,7 +234,7 @@ Recommended dependencies
 
 * `numexpr <https://github.com/pydata/numexpr>`__: for accelerating certain numerical operations.
   ``numexpr`` uses multiple cores as well as smart chunking and caching to achieve large speedups.
-  If installed, must be Version 2.6.8 or higher.
+  If installed, must be Version 2.7.0 or higher.
 
 * `bottleneck <https://github.com/pydata/bottleneck>`__: for accelerating certain types of ``nan``
   evaluations. ``bottleneck`` uses specialized cython routines to achieve large speedups. If installed,

doc/source/whatsnew/v1.3.0.rst

@@ -547,7 +547,7 @@ If installed, we now require:
 +-----------------+-----------------+----------+---------+
 | bottleneck      | 1.2.1           |          |         |
 +-----------------+-----------------+----------+---------+
-| numexpr         | 2.6.8           |          |         |
+| numexpr         | 2.7.0           |          |    X    |
 +-----------------+-----------------+----------+---------+
 | pytest (dev)    | 6.0             |          |    X    |
 +-----------------+-----------------+----------+---------+

environment.yml

@@ -81,7 +81,7 @@ dependencies:
   - ipython>=7.11.1
   - jinja2<3.0.0  # pandas.Styler
   - matplotlib>=2.2.2  # pandas.plotting, Series.plot, DataFrame.plot
-  - numexpr>=2.6.8
+  - numexpr>=2.7.0
   - scipy>=1.2
   - numba>=0.46.0
 

pandas/compat/_optional.py

@@ -17,7 +17,7 @@
     "gcsfs": "0.6.0",
     "lxml.etree": "4.3.0",
     "matplotlib": "2.2.3",
-    "numexpr": "2.6.8",
+    "numexpr": "2.7.0",
     "odfpy": "1.3.0",
     "openpyxl": "3.0.0",
     "pandas_gbq": "0.12.0",

pandas/core/computation/ops.py

@@ -27,7 +27,6 @@
     result_type_many,
 )
 from pandas.core.computation.scope import DEFAULT_GLOBALS
-from pandas.util.version import Version
 
 from pandas.io.formats.printing import (
     pprint_thing,
@@ -616,18 +615,8 @@ def __repr__(self) -> str:
 
 class FuncNode:
     def __init__(self, name: str):
-        from pandas.core.computation.check import (
-            NUMEXPR_INSTALLED,
-            NUMEXPR_VERSION,
-        )
-
-        if name not in MATHOPS or (
-            NUMEXPR_INSTALLED
-            and Version(NUMEXPR_VERSION) < Version("2.6.9")
-            and name in ("floor", "ceil")
-        ):
+        if name not in MATHOPS:
             raise ValueError(f'"{name}" is not a supported function')
-
         self.name = name
         self.func = getattr(np, name)
 

pandas/tests/computation/test_eval.py

@@ -29,7 +29,6 @@
 )
 import pandas._testing as tm
 from pandas.core.computation import pytables
-from pandas.core.computation.check import NUMEXPR_VERSION
 from pandas.core.computation.engines import (
     ENGINES,
     NumExprClobberingError,
@@ -51,7 +50,6 @@
     _binary_ops_dict,
     _unary_math_ops,
 )
-from pandas.util.version import Version
 
 
 @pytest.fixture(
@@ -76,20 +74,8 @@ def parser(request):
     return request.param
 
 
-@pytest.fixture
-def ne_lt_2_6_9():
-    if NUMEXPR_INSTALLED and Version(NUMEXPR_VERSION) >= Version("2.6.9"):
-        pytest.skip("numexpr is >= 2.6.9")
-    return "numexpr"
-
-
 def _get_unary_fns_for_ne():
-    if NUMEXPR_INSTALLED:
-        if Version(NUMEXPR_VERSION) >= Version("2.6.9"):
-            return list(_unary_math_ops)
-        else:
-            return [x for x in _unary_math_ops if x not in ["floor", "ceil"]]
-    return []
+    return list(_unary_math_ops) if NUMEXPR_INSTALLED else []
 
 
 @pytest.fixture(params=_get_unary_fns_for_ne())
@@ -1766,13 +1752,6 @@ def test_unary_functions(self, unary_fns_for_ne):
             expect = getattr(np, fn)(a)
         tm.assert_series_equal(got, expect, check_names=False)
 
-    @pytest.mark.parametrize("fn", ["floor", "ceil"])
-    def test_floor_and_ceil_functions_raise_error(self, ne_lt_2_6_9, fn):
-        msg = f'"{fn}" is not a supported function'
-        with pytest.raises(ValueError, match=msg):
-            expr = f"{fn}(100)"
-            self.eval(expr)
-
     @pytest.mark.parametrize("fn", _binary_math_ops)
     def test_binary_functions(self, fn):
         df = DataFrame({"a": np.random.randn(10), "b": np.random.randn(10)})

requirements-dev.txt

@@ -53,7 +53,7 @@ ipykernel
 ipython>=7.11.1
 jinja2<3.0.0
 matplotlib>=2.2.2
-numexpr>=2.6.8
+numexpr>=2.7.0
 scipy>=1.2
 numba>=0.46.0
 beautifulsoup4>=4.6.0