DEPS: clean outdated version compat, sync min versions

ci/deps/actions-37-db-min.yaml

@@ -6,7 +6,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-cov
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0

ci/deps/actions-37-db.yaml

@@ -6,7 +6,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0
   - pytest-cov>=2.10.1  # this is only needed in the coverage build, ref: GH 35737
@@ -25,7 +25,7 @@ dependencies:
   - flask
   - nomkl
   - numexpr
-  - numpy=1.16.*
+  - numpy=1.17.*
   - odfpy
   - openpyxl
   - pandas-gbq

ci/deps/actions-37-locale_slow.yaml

@@ -7,7 +7,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-cov
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0
@@ -17,13 +17,13 @@ dependencies:
   - bottleneck=1.2.*
   - lxml
   - matplotlib=3.0.0
-  - numpy=1.16.*
+  - numpy=1.17.*
   - openpyxl=3.0.0
   - python-dateutil
   - python-blosc
   - pytz=2017.3
   - scipy
-  - sqlalchemy=1.2.8
+  - sqlalchemy=1.3.0
   - xlrd=1.2.0
   - xlsxwriter=1.0.2
   - xlwt=1.3.0

ci/deps/actions-37-slow.yaml

@@ -7,7 +7,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-cov
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0

ci/deps/actions-37.yaml

@@ -7,7 +7,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-cov
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0

ci/deps/actions-38-locale.yaml

@@ -6,7 +6,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-cov
   - pytest-xdist>=1.21
   - pytest-asyncio>=0.12.0
@@ -20,7 +20,7 @@ dependencies:
   - jinja2
   - jedi<0.18.0
   - lxml
-  - matplotlib <3.3.0
+  - matplotlib<3.3.0
   - moto
   - nomkl
   - numexpr

ci/deps/actions-38-numpydev.yaml

@@ -5,7 +5,7 @@ dependencies:
   - python=3.8.*
 
   # tools
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-cov
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0

ci/deps/actions-38-slow.yaml

@@ -6,7 +6,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-cov
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0

ci/deps/actions-38.yaml

@@ -7,7 +7,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-cov
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0

ci/deps/actions-39.yaml

@@ -6,7 +6,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-cov
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0

ci/deps/azure-macos-37.yaml

@@ -6,7 +6,7 @@ dependencies:
   - python=3.7.*
 
   # tools
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0
   - pytest-azurepipelines

ci/deps/azure-windows-37.yaml

@@ -7,7 +7,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0
   - pytest-azurepipelines

ci/deps/azure-windows-38.yaml

@@ -7,7 +7,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0
   - pytest-azurepipelines

ci/deps/travis-37-arm64.yaml

@@ -6,7 +6,7 @@ dependencies:
 
   # tools
   - cython>=0.29.21
-  - pytest>=5.0.1
+  - pytest>=6.0
   - pytest-xdist>=1.21
   - hypothesis>=3.58.0
 

doc/source/whatsnew/v1.3.0.rst

@@ -615,7 +615,7 @@ Optional libraries below the lowest tested version may still work, but are not c
 +-----------------+-----------------+---------+
 | scipy           | 1.2.0           |         |
 +-----------------+-----------------+---------+
-| sqlalchemy      | 1.2.8           |         |
+| sqlalchemy      | 1.3.0           |    X    |
 +-----------------+-----------------+---------+
 | tabulate        | 0.8.7           |    X    |
 +-----------------+-----------------+---------+

pandas/compat/_optional.py

@@ -22,11 +22,11 @@
     "openpyxl": "3.0.0",
     "pandas_gbq": "0.12.0",
     "pyarrow": "0.17.0",
-    "pytest": "5.0.1",
+    "pytest": "6.0",
     "pyxlsb": "1.0.6",
     "s3fs": "0.4.0",
     "scipy": "1.2.0",
-    "sqlalchemy": "1.2.8",
+    "sqlalchemy": "1.3.0",
     "tables": "3.5.1",
     "tabulate": "0.8.7",
     "xarray": "0.12.3",

pandas/compat/numpy/function.py

@@ -22,10 +22,7 @@
     Union,
 )
 
-from numpy import (
-    __version__,
-    ndarray,
-)
+from numpy import ndarray
 
 from pandas._libs.lib import (
     is_bool,
@@ -38,8 +35,6 @@
     validate_kwargs,
 )
 
-from pandas.util.version import Version
-
 
 class CompatValidator:
     def __init__(
@@ -128,10 +123,7 @@ def validate_argmax_with_skipna(skipna, args, kwargs):
 ARGSORT_DEFAULTS["axis"] = -1
 ARGSORT_DEFAULTS["kind"] = "quicksort"
 ARGSORT_DEFAULTS["order"] = None
-
-if Version(__version__) >= Version("1.17.0"):
-    # GH-26361. NumPy added radix sort and changed default to None.
-    ARGSORT_DEFAULTS["kind"] = None
+ARGSORT_DEFAULTS["kind"] = None
 
 
 validate_argsort = CompatValidator(

pandas/core/arrays/string_arrow.py

@@ -26,6 +26,7 @@
     pa_version_under3p0,
     pa_version_under4p0,
 )
+from pandas.compat.pyarrow import pa_version_under1p0
 from pandas.util._decorators import doc
 from pandas.util._validators import validate_fillna_kwargs
 
@@ -52,7 +53,6 @@
     validate_indices,
 )
 from pandas.core.strings.object_array import ObjectStringArrayMixin
-from pandas.util.version import Version
 
 try:
     import pyarrow as pa
@@ -62,7 +62,7 @@
     # PyArrow backed StringArrays are available starting at 1.0.0, but this
     # file is imported from even if pyarrow is < 1.0.0, before pyarrow.compute
     # and its compute functions existed. GH38801
-    if Version(pa.__version__) >= Version("1.0.0"):
+    if not pa_version_under1p0:
         import pyarrow.compute as pc
 
         ARROW_CMP_FUNCS = {
@@ -232,7 +232,7 @@ def __init__(self, values):
     def _chk_pyarrow_available(cls) -> None:
         # TODO: maybe update import_optional_dependency to allow a minimum
         # version to be specified rather than use the global minimum
-        if pa is None or Version(pa.__version__) < Version("1.0.0"):
+        if pa is None or pa_version_under1p0:
             msg = "pyarrow>=1.0.0 is required for PyArrow backed StringArray."
             raise ImportError(msg)
 

pandas/io/parquet.py

@@ -210,27 +210,21 @@ def read(
 
         to_pandas_kwargs = {}
         if use_nullable_dtypes:
-            if Version(self.api.__version__) >= Version("0.16"):
-                import pandas as pd
-
-                mapping = {
-                    self.api.int8(): pd.Int8Dtype(),
-                    self.api.int16(): pd.Int16Dtype(),
-                    self.api.int32(): pd.Int32Dtype(),
-                    self.api.int64(): pd.Int64Dtype(),
-                    self.api.uint8(): pd.UInt8Dtype(),
-                    self.api.uint16(): pd.UInt16Dtype(),
-                    self.api.uint32(): pd.UInt32Dtype(),
-                    self.api.uint64(): pd.UInt64Dtype(),
-                    self.api.bool_(): pd.BooleanDtype(),
-                    self.api.string(): pd.StringDtype(),
-                }
-                to_pandas_kwargs["types_mapper"] = mapping.get
-            else:
-                raise ValueError(
-                    "'use_nullable_dtypes=True' is only supported for pyarrow >= 0.16 "
-                    f"({self.api.__version__} is installed"
-                )
+            import pandas as pd
+
+            mapping = {
+                self.api.int8(): pd.Int8Dtype(),
+                self.api.int16(): pd.Int16Dtype(),
+                self.api.int32(): pd.Int32Dtype(),
+                self.api.int64(): pd.Int64Dtype(),
+                self.api.uint8(): pd.UInt8Dtype(),
+                self.api.uint16(): pd.UInt16Dtype(),
+                self.api.uint32(): pd.UInt32Dtype(),
+                self.api.uint64(): pd.UInt64Dtype(),
+                self.api.bool_(): pd.BooleanDtype(),
+                self.api.string(): pd.StringDtype(),
+            }
+            to_pandas_kwargs["types_mapper"] = mapping.get
         manager = get_option("mode.data_manager")
         if manager == "array":
             to_pandas_kwargs["split_blocks"] = True  # type: ignore[assignment]