STYLE keep local imports relative

.pre-commit-config.yaml

@@ -208,7 +208,8 @@ repos:
     hooks:
     -   id: no-string-hints
 -   repo: https://github.com/MarcoGorelli/abs-imports
-    rev: v0.1.2
+    rev: c434798
     hooks:
     -   id: abs-imports
         files: ^pandas/
+        args: [--keep-local-imports-relative]

pandas/__init__.py

@@ -19,14 +19,14 @@
 del hard_dependencies, dependency, missing_dependencies
 
 # numpy compat
-from pandas.compat import (
+from .compat import (
     np_version_under1p17 as _np_version_under1p17,
     np_version_under1p18 as _np_version_under1p18,
     is_numpy_dev as _is_numpy_dev,
 )
 
 try:
-    from pandas._libs import hashtable as _hashtable, lib as _lib, tslib as _tslib
+    from ._libs import hashtable as _hashtable, lib as _lib, tslib as _tslib
 except ImportError as e:  # pragma: no cover
     # hack but overkill to use re
     module = str(e).replace("cannot import name ", "")
@@ -36,7 +36,7 @@
         "'python setup.py build_ext --force' to build the C extensions first."
     ) from e
 
-from pandas._config import (
+from ._config import (
     get_option,
     set_option,
     reset_option,
@@ -48,7 +48,7 @@
 # let init-time option registration happen
 import pandas.core.config_init
 
-from pandas.core.api import (
+from .core.api import (
     # dtype
     Int8Dtype,
     Int16Dtype,
@@ -115,14 +115,14 @@
     DataFrame,
 )
 
-from pandas.core.arrays.sparse import SparseDtype
+from .core.arrays.sparse import SparseDtype
 
-from pandas.tseries.api import infer_freq
-from pandas.tseries import offsets
+from .tseries.api import infer_freq
+from .tseries import offsets
 
-from pandas.core.computation.api import eval
+from .core.computation.api import eval
 
-from pandas.core.reshape.api import (
+from .core.reshape.api import (
     concat,
     lreshape,
     melt,
@@ -139,9 +139,9 @@
 )
 
 import pandas.api
-from pandas.util._print_versions import show_versions
+from .util._print_versions import show_versions
 
-from pandas.io.api import (
+from .io.api import (
     # excel
     ExcelFile,
     ExcelWriter,
@@ -173,14 +173,14 @@
     read_spss,
 )
 
-from pandas.io.json import _json_normalize as json_normalize
+from .io.json import _json_normalize as json_normalize
 
-from pandas.util._tester import test
+from .util._tester import test
 import pandas.testing
 import pandas.arrays
 
 # use the closest tagged version if possible
-from pandas._version import get_versions
+from ._version import get_versions
 
 v = get_versions()
 __version__ = v.get("closest-tag", v["version"])
@@ -237,7 +237,7 @@ def __getattr__(name):
             FutureWarning,
             stacklevel=2,
         )
-        from pandas.core.arrays.sparse import SparseArray as _SparseArray
+        from .core.arrays.sparse import SparseArray as _SparseArray
 
         return _SparseArray
 

pandas/_config/__init__.py

@@ -15,14 +15,14 @@
     "option_context",
     "options",
 ]
-from pandas._config import config
-from pandas._config import dates  # noqa:F401
-from pandas._config.config import (
+from . import config
+from . import dates  # noqa:F401
+from .config import (
     describe_option,
     get_option,
     option_context,
     options,
     reset_option,
     set_option,
 )
-from pandas._config.display import detect_console_encoding
+from .display import detect_console_encoding

pandas/_config/dates.py

@@ -1,7 +1,7 @@
 """
 config for datetime formatting
 """
-from pandas._config import config as cf
+from . import config as cf
 
 pc_date_dayfirst_doc = """
 : boolean

pandas/_config/display.py

@@ -6,7 +6,7 @@
 import sys
 from typing import Optional
 
-from pandas._config import config as cf
+from . import config as cf
 
 # -----------------------------------------------------------------------------
 # Global formatting options

pandas/_config/localization.py

@@ -8,7 +8,7 @@
 import re
 import subprocess
 
-from pandas._config.config import options
+from .config import options
 
 
 @contextmanager

pandas/_libs/__init__.py

@@ -10,8 +10,8 @@
 ]
 
 
-from pandas._libs.interval import Interval
-from pandas._libs.tslibs import (
+from .interval import Interval
+from .tslibs import (
     NaT,
     NaTType,
     OutOfBoundsDatetime,

pandas/_libs/tslibs/__init__.py

@@ -27,38 +27,38 @@
     "tz_compare",
 ]
 
-from pandas._libs.tslibs import dtypes
-from pandas._libs.tslibs.conversion import (
+from . import dtypes
+from .conversion import (
     OutOfBoundsTimedelta,
     localize_pydatetime,
 )
-from pandas._libs.tslibs.dtypes import Resolution
-from pandas._libs.tslibs.nattype import (
+from .dtypes import Resolution
+from .nattype import (
     NaT,
     NaTType,
     iNaT,
     is_null_datetimelike,
     nat_strings,
 )
-from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime
-from pandas._libs.tslibs.offsets import (
+from .np_datetime import OutOfBoundsDatetime
+from .offsets import (
     BaseOffset,
     Tick,
     to_offset,
 )
-from pandas._libs.tslibs.period import (
+from .period import (
     IncompatibleFrequency,
     Period,
 )
-from pandas._libs.tslibs.timedeltas import (
+from .timedeltas import (
     Timedelta,
     delta_to_nanoseconds,
     ints_to_pytimedelta,
 )
-from pandas._libs.tslibs.timestamps import Timestamp
-from pandas._libs.tslibs.timezones import tz_compare
-from pandas._libs.tslibs.tzconversion import tz_convert_from_utc_single
-from pandas._libs.tslibs.vectorized import (
+from .timestamps import Timestamp
+from .timezones import tz_compare
+from .tzconversion import tz_convert_from_utc_single
+from .vectorized import (
     dt64arr_to_periodarr,
     get_resolution,
     ints_to_pydatetime,

pandas/_testing/__init__.py

@@ -49,7 +49,14 @@
     Series,
     bdate_range,
 )
-from pandas._testing._io import (  # noqa:F401
+from pandas.core.arrays import (
+    DatetimeArray,
+    PeriodArray,
+    TimedeltaArray,
+    period_array,
+)
+
+from ._io import (  # noqa:F401
     close,
     network,
     round_trip_localpath,
@@ -58,14 +65,14 @@
     with_connectivity_check,
     write_to_compressed,
 )
-from pandas._testing._random import (  # noqa:F401
+from ._random import (  # noqa:F401
     randbool,
     rands,
     rands_array,
     randu_array,
 )
-from pandas._testing._warnings import assert_produces_warning  # noqa:F401
-from pandas._testing.asserters import (  # noqa:F401
+from ._warnings import assert_produces_warning  # noqa:F401
+from .asserters import (  # noqa:F401
     assert_almost_equal,
     assert_attr_equal,
     assert_categorical_equal,
@@ -88,8 +95,8 @@
     assert_timedelta_array_equal,
     raise_assert_detail,
 )
-from pandas._testing.compat import get_dtype  # noqa:F401
-from pandas._testing.contexts import (  # noqa:F401
+from .compat import get_dtype  # noqa:F401
+from .contexts import (  # noqa:F401
     RNGContext,
     decompress_file,
     ensure_clean,
@@ -99,12 +106,6 @@
     use_numexpr,
     with_csv_dialect,
 )
-from pandas.core.arrays import (
-    DatetimeArray,
-    PeriodArray,
-    TimedeltaArray,
-    period_array,
-)
 
 if TYPE_CHECKING:
     from pandas import (

pandas/_testing/_io.py

@@ -19,11 +19,12 @@
 )
 
 import pandas as pd
-from pandas._testing._random import rands
-from pandas._testing.contexts import ensure_clean
 
 from pandas.io.common import urlopen
 
+from ._random import rands
+from .contexts import ensure_clean
+
 _RAISE_NETWORK_ERROR_DEFAULT = False
 
 lzma = import_lzma()

pandas/_typing.py

@@ -38,32 +38,29 @@
 if TYPE_CHECKING:
     from typing import final
 
-    from pandas._libs import (
+    from . import Interval
+    from ._libs import (
         Period,
         Timedelta,
         Timestamp,
     )
-
-    from pandas.core.dtypes.dtypes import ExtensionDtype
-
-    from pandas import Interval
-    from pandas.core.arrays.base import ExtensionArray  # noqa: F401
-    from pandas.core.frame import DataFrame
-    from pandas.core.generic import NDFrame  # noqa: F401
-    from pandas.core.groupby.generic import (
+    from .core.arrays.base import ExtensionArray  # noqa: F401
+    from .core.dtypes.dtypes import ExtensionDtype
+    from .core.frame import DataFrame
+    from .core.generic import NDFrame  # noqa: F401
+    from .core.groupby.generic import (
         DataFrameGroupBy,
         SeriesGroupBy,
     )
-    from pandas.core.indexes.base import Index
-    from pandas.core.internals import (
+    from .core.indexes.base import Index
+    from .core.internals import (
         ArrayManager,
         BlockManager,
     )
-    from pandas.core.resample import Resampler
-    from pandas.core.series import Series
-    from pandas.core.window.rolling import BaseWindow
-
-    from pandas.io.formats.format import EngFormatter
+    from .core.resample import Resampler
+    from .core.series import Series
+    from .core.window.rolling import BaseWindow
+    from .io.formats.format import EngFormatter
 else:
     # typing.final does not exist until py38
     final = lambda x: x

pandas/api/__init__.py

@@ -1,5 +1,5 @@
 """ public toolkit API """
-from pandas.api import (  # noqa
+from . import (  # noqa
     extensions,
     indexers,
     types,

pandas/compat/__init__.py

@@ -12,7 +12,8 @@
 import warnings
 
 from pandas._typing import F
-from pandas.compat.numpy import (
+
+from .numpy import (
     is_numpy_dev,
     np_array_datetime64_compat,
     np_datetime64_compat,

pandas/conftest.py

@@ -45,23 +45,23 @@
 
 import pandas.util._test_decorators as td
 
-from pandas.core.dtypes.dtypes import (
-    DatetimeTZDtype,
-    IntervalDtype,
-)
-
 import pandas as pd
-from pandas import (
+import pandas._testing as tm
+
+from . import (
     DataFrame,
     Interval,
     Period,
     Series,
     Timedelta,
     Timestamp,
 )
-import pandas._testing as tm
-from pandas.core import ops
-from pandas.core.indexes.api import (
+from .core import ops
+from .core.dtypes.dtypes import (
+    DatetimeTZDtype,
+    IntervalDtype,
+)
+from .core.indexes.api import (
     Index,
     MultiIndex,
 )