CLN: Numpy compat functions namespace

pandas/__init__.py

@@ -19,7 +19,7 @@
 del hard_dependencies, dependency, missing_dependencies
 
 # numpy compat
-from pandas.compat.numpy import (
+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

@@ -12,6 +12,15 @@
 import warnings
 
 from pandas._typing import F
+from pandas.compat.numpy import (
+    is_numpy_dev,
+    np_array_datetime64_compat,
+    np_datetime64_compat,
+    np_version_under1p17,
+    np_version_under1p18,
+    np_version_under1p19,
+    np_version_under1p20,
+)
 
 PY38 = sys.version_info >= (3, 8)
 PY39 = sys.version_info >= (3, 9)
@@ -118,3 +127,14 @@ def get_lzma_file(lzma):
             "might be required to solve this issue."
         )
     return lzma.LZMAFile
+
+
+__all__ = [
+    "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

@@ -10,8 +10,8 @@
 _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")
+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"
 

pandas/core/array_algos/masked_reductions.py

@@ -8,7 +8,7 @@
 import numpy as np
 
 from pandas._libs import missing as libmissing
-from pandas.compat.numpy import np_version_under1p17
+from pandas.compat import np_version_under1p17
 
 from pandas.core.nanops import check_below_min_count
 

pandas/core/common.py

@@ -26,7 +26,7 @@
 
 from pandas._libs import lib
 from pandas._typing import AnyArrayLike, NpDtype, Scalar, T
-from pandas.compat.numpy import np_version_under1p18
+from pandas.compat import np_version_under1p18
 
 from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
 from pandas.core.dtypes.common import (

pandas/tests/arithmetic/test_datetime64.py

@@ -12,7 +12,7 @@
 
 from pandas._libs.tslibs.conversion import localize_pydatetime
 from pandas._libs.tslibs.offsets import shift_months
-from pandas.compat.numpy import np_datetime64_compat
+from pandas.compat import np_datetime64_compat
 from pandas.errors import PerformanceWarning
 
 import pandas as pd

pandas/tests/arrays/integer/test_arithmetic.py

@@ -3,7 +3,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat.numpy import _np_version_under1p20
+from pandas.compat import np_version_under1p20
 
 import pandas as pd
 import pandas._testing as tm
@@ -208,7 +208,7 @@ def test_arith_coerce_scalar(data, all_arithmetic_operators):
     expected = op(s.astype(float), other)
     expected = expected.astype("Float64")
     # rfloordiv results in nan instead of inf
-    if all_arithmetic_operators == "__rfloordiv__" and _np_version_under1p20:
+    if all_arithmetic_operators == "__rfloordiv__" and np_version_under1p20:
         # for numpy 1.20 https://github.com/numpy/numpy/pull/16161
         #  updated floordiv, now matches our behavior defined in core.ops
         mask = (

pandas/tests/arrays/sparse/test_arithmetics.py

@@ -3,7 +3,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat.numpy import _np_version_under1p20
+from pandas.compat import np_version_under1p20
 
 import pandas as pd
 import pandas._testing as tm
@@ -122,7 +122,7 @@ def test_float_scalar(
     ):
         op = all_arithmetic_functions
 
-        if not _np_version_under1p20:
+        if not np_version_under1p20:
             if op in [operator.floordiv, ops.rfloordiv]:
                 mark = pytest.mark.xfail(strict=False, reason="GH#38172")
                 request.node.add_marker(mark)
@@ -169,7 +169,7 @@ def test_float_same_index_with_nans(
         # when sp_index are the same
         op = all_arithmetic_functions
 
-        if not _np_version_under1p20:
+        if not np_version_under1p20:
             if op in [operator.floordiv, ops.rfloordiv]:
                 mark = pytest.mark.xfail(strict=False, reason="GH#38172")
                 request.node.add_marker(mark)
@@ -349,7 +349,7 @@ def test_bool_array_logical(self, kind, fill_value):
     def test_mixed_array_float_int(self, kind, mix, all_arithmetic_functions, request):
         op = all_arithmetic_functions
 
-        if not _np_version_under1p20:
+        if not np_version_under1p20:
             if op in [operator.floordiv, ops.rfloordiv] and mix:
                 mark = pytest.mark.xfail(strict=True, reason="GH#38172")
                 request.node.add_marker(mark)

pandas/tests/arrays/test_datetimelike.py

@@ -5,7 +5,7 @@
 import pytest
 
 from pandas._libs import NaT, OutOfBoundsDatetime, Timestamp
-from pandas.compat.numpy import np_version_under1p18
+from pandas.compat import np_version_under1p18
 
 import pandas as pd
 from pandas import DatetimeIndex, Index, Period, PeriodIndex, TimedeltaIndex

pandas/tests/base/test_value_counts.py

@@ -6,7 +6,7 @@
 import pytest
 
 from pandas._libs import iNaT
-from pandas.compat.numpy import np_array_datetime64_compat
+from pandas.compat import np_array_datetime64_compat
 
 from pandas.core.dtypes.common import needs_i8_conversion
 

pandas/tests/computation/test_eval.py

@@ -8,8 +8,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat import is_platform_windows
-from pandas.compat.numpy import np_version_under1p17
+from pandas.compat import is_platform_windows, np_version_under1p17
 from pandas.errors import PerformanceWarning
 import pandas.util._test_decorators as td
 

pandas/tests/frame/methods/test_sample.py

@@ -1,7 +1,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat.numpy import np_version_under1p17
+from pandas.compat import np_version_under1p17
 
 from pandas import DataFrame, Series
 import pandas._testing as tm

pandas/tests/frame/test_constructors.py

@@ -10,7 +10,7 @@
 import pytest
 import pytz
 
-from pandas.compat.numpy import _np_version_under1p19
+from pandas.compat import np_version_under1p19
 
 from pandas.core.dtypes.common import is_integer_dtype
 from pandas.core.dtypes.dtypes import DatetimeTZDtype, IntervalDtype, PeriodDtype
@@ -149,7 +149,7 @@ def test_constructor_dtype_list_data(self):
         assert df.loc[1, 0] is None
         assert df.loc[0, 1] == "2"
 
-    @pytest.mark.skipif(_np_version_under1p19, reason="NumPy change.")
+    @pytest.mark.skipif(np_version_under1p19, reason="NumPy change.")
     def test_constructor_list_of_2d_raises(self):
         # https://github.com/pandas-dev/pandas/issues/32289
         a = DataFrame()

pandas/tests/indexes/multi/test_analytics.py

@@ -1,7 +1,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat.numpy import np_version_under1p17
+from pandas.compat import np_version_under1p17
 
 import pandas as pd
 from pandas import Index, MultiIndex, date_range, period_range

pandas/tests/indexes/period/test_searchsorted.py

@@ -2,7 +2,7 @@
 import pytest
 
 from pandas._libs.tslibs import IncompatibleFrequency
-from pandas.compat.numpy import np_version_under1p18
+from pandas.compat import np_version_under1p18
 
 from pandas import NaT, Period, PeriodIndex, Series, array
 import pandas._testing as tm

pandas/tests/indexes/test_base.py

@@ -9,8 +9,7 @@
 import pytest
 
 from pandas._libs.tslib import Timestamp
-from pandas.compat import IS64
-from pandas.compat.numpy import np_datetime64_compat
+from pandas.compat import IS64, np_datetime64_compat
 from pandas.util._test_decorators import async_mark
 
 import pandas as pd

pandas/tests/indexes/test_numpy_compat.py

@@ -1,7 +1,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat.numpy import np_version_under1p17, np_version_under1p18
+from pandas.compat import np_version_under1p17, np_version_under1p18
 
 from pandas import (
     DatetimeIndex,

pandas/tests/indexing/test_loc.py

@@ -7,7 +7,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat.numpy import is_numpy_dev
+from pandas.compat import is_numpy_dev
 import pandas.util._test_decorators as td
 
 import pandas as pd

pandas/tests/io/parser/test_parse_dates.py

@@ -15,8 +15,7 @@
 from pandas._libs.tslib import Timestamp
 from pandas._libs.tslibs import parsing
 from pandas._libs.tslibs.parsing import parse_datetime_string
-from pandas.compat import is_platform_windows
-from pandas.compat.numpy import np_array_datetime64_compat
+from pandas.compat import is_platform_windows, np_array_datetime64_compat
 
 import pandas as pd
 from pandas import DataFrame, DatetimeIndex, Index, MultiIndex, Series

pandas/tests/plotting/test_converter.py

@@ -7,8 +7,7 @@
 
 import pandas._config.config as cf
 
-from pandas.compat import is_platform_windows
-from pandas.compat.numpy import np_datetime64_compat
+from pandas.compat import is_platform_windows, np_datetime64_compat
 import pandas.util._test_decorators as td
 
 from pandas import Index, Period, Series, Timestamp, date_range

pandas/tests/scalar/period/test_period.py

@@ -10,7 +10,7 @@
 from pandas._libs.tslibs.parsing import DateParseError
 from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG, IncompatibleFrequency
 from pandas._libs.tslibs.timezones import dateutil_gettz, maybe_get_tz
-from pandas.compat.numpy import np_datetime64_compat
+from pandas.compat import np_datetime64_compat
 
 import pandas as pd
 from pandas import NaT, Period, Timedelta, Timestamp, offsets

pandas/tests/scalar/timedelta/test_arithmetic.py

@@ -7,7 +7,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat.numpy import is_numpy_dev
+from pandas.compat import is_numpy_dev
 
 import pandas as pd
 from pandas import NaT, Timedelta, Timestamp, compat, offsets

pandas/tests/scalar/timestamp/test_timestamp.py

@@ -12,7 +12,7 @@
 from pytz import timezone, utc
 
 from pandas._libs.tslibs.timezones import dateutil_gettz as gettz, get_timezone
-from pandas.compat.numpy import np_datetime64_compat
+from pandas.compat import np_datetime64_compat
 import pandas.util._test_decorators as td
 
 from pandas import NaT, Timedelta, Timestamp

pandas/tests/test_algos.py

@@ -6,8 +6,7 @@
 import pytest
 
 from pandas._libs import algos as libalgos, hashtable as ht
-from pandas.compat import IS64
-from pandas.compat.numpy import np_array_datetime64_compat
+from pandas.compat import IS64, np_array_datetime64_compat
 import pandas.util._test_decorators as td
 
 from pandas.core.dtypes.common import (

pandas/tests/test_common.py

@@ -6,7 +6,7 @@
 import numpy as np
 import pytest
 
-from pandas.compat.numpy import np_version_under1p17
+from pandas.compat import np_version_under1p17
 
 import pandas as pd
 from pandas import Series

pandas/tests/tseries/offsets/test_business_day.py

@@ -7,7 +7,7 @@
 import pytest
 
 from pandas._libs.tslibs.offsets import ApplyTypeError, BDay, BMonthEnd, CDay
-from pandas.compat.numpy import np_datetime64_compat
+from pandas.compat import np_datetime64_compat
 
 from pandas import DatetimeIndex, _testing as tm, read_pickle
 from pandas.tests.tseries.offsets.common import (

pandas/tests/tseries/offsets/test_offsets.py

@@ -11,7 +11,7 @@
 import pandas._libs.tslibs.offsets as liboffsets
 from pandas._libs.tslibs.offsets import _get_offset, _offset_map
 from pandas._libs.tslibs.period import INVALID_FREQ_ERR_MSG
-from pandas.compat.numpy import np_datetime64_compat
+from pandas.compat import np_datetime64_compat
 from pandas.errors import PerformanceWarning
 
 from pandas import DatetimeIndex

pandas/tests/tslibs/test_array_to_datetime.py

@@ -6,7 +6,7 @@
 import pytz
 
 from pandas._libs import iNaT, tslib
-from pandas.compat.numpy import np_array_datetime64_compat
+from pandas.compat import np_array_datetime64_compat
 
 from pandas import Timestamp
 import pandas._testing as tm