STYLE fix: pylint "consider-using-from"

pandas/_libs/parsers.pyx

@@ -74,7 +74,7 @@ from pandas._libs.util cimport (
     UINT64_MAX,
 )
 
-import pandas._libs.lib as lib
+from pandas._libs import lib
 
 from pandas._libs.khash cimport (
     kh_destroy_float64,

pandas/conftest.py

@@ -1727,7 +1727,7 @@ def any_skipna_inferred_dtype(request):
 
     Examples
     --------
-    >>> import pandas._libs.lib as lib
+    >>> from pandas._libs import lib
     >>>
     >>> def test_something(any_skipna_inferred_dtype):
     ...     inferred_dtype, values = any_skipna_inferred_dtype

pandas/core/arrays/categorical.py

@@ -87,14 +87,14 @@
 )
 
 from pandas.core import (
+    algorithms,
     arraylike,
     ops,
 )
 from pandas.core.accessor import (
     PandasDelegate,
     delegate_names,
 )
-import pandas.core.algorithms as algorithms
 from pandas.core.algorithms import (
     factorize,
     take_nd,

pandas/core/arrays/sparse/array.py

@@ -78,7 +78,10 @@
     notna,
 )
 
-from pandas.core import arraylike
+from pandas.core import (
+    arraylike,
+    ops,
+)
 import pandas.core.algorithms as algos
 from pandas.core.array_algos.quantile import quantile_with_mask
 from pandas.core.arraylike import OpsMixin
@@ -96,9 +99,8 @@
 )
 from pandas.core.missing import interpolate_2d
 from pandas.core.nanops import check_below_min_count
-import pandas.core.ops as ops
 
-import pandas.io.formats.printing as printing
+from pandas.io.formats import printing
 
 # See https://github.com/python/typing/issues/684
 if TYPE_CHECKING:

pandas/core/base.py

@@ -21,7 +21,7 @@
 
 import numpy as np
 
-import pandas._libs.lib as lib
+from pandas._libs import lib
 from pandas._typing import (
     Axis,
     AxisInt,

pandas/core/computation/engines.py

@@ -17,7 +17,7 @@
     REDUCTIONS,
 )
 
-import pandas.io.formats.printing as printing
+from pandas.io.formats import printing
 
 if TYPE_CHECKING:
     from pandas.core.computation.expr import Expr

pandas/core/computation/expr.py

@@ -44,7 +44,7 @@
 )
 from pandas.core.computation.scope import Scope
 
-import pandas.io.formats.printing as printing
+from pandas.io.formats import printing
 
 
 def _rewrite_assign(tok: tuple[int, str]) -> tuple[int, str]:

pandas/core/construction.py

@@ -18,7 +18,7 @@
 import warnings
 
 import numpy as np
-import numpy.ma as ma
+from numpy import ma
 
 from pandas._libs import lib
 from pandas._libs.tslibs.period import Period

pandas/core/frame.py

@@ -33,7 +33,7 @@
 import warnings
 
 import numpy as np
-import numpy.ma as ma
+from numpy import ma
 
 from pandas._config import get_option
 
@@ -685,7 +685,7 @@ def __init__(
             # GH#38939 de facto copy defaults to False only in non-dict cases
             mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
         elif isinstance(data, ma.MaskedArray):
-            import numpy.ma.mrecords as mrecords
+            from numpy.ma import mrecords
 
             # masked recarray
             if isinstance(data, mrecords.MaskedRecords):
@@ -8036,7 +8036,7 @@ def combine_first(self, other: DataFrame) -> DataFrame:
         1  0.0  3.0  1.0
         2  NaN  3.0  1.0
         """
-        import pandas.core.computation.expressions as expressions
+        from pandas.core.computation import expressions
 
         def combiner(x, y):
             mask = extract_array(isna(x))
@@ -8179,7 +8179,7 @@ def update(
         1  2  500.0
         2  3    6.0
         """
-        import pandas.core.computation.expressions as expressions
+        from pandas.core.computation import expressions
 
         # TODO: Support other joins
         if join != "left":  # pragma: no cover

pandas/core/groupby/groupby.py

@@ -88,9 +88,12 @@ class providing the base-class of operations.
     notna,
 )
 
-from pandas.core import nanops
+from pandas.core import (
+    algorithms,
+    nanops,
+    sample,
+)
 from pandas.core._numba import executor
-import pandas.core.algorithms as algorithms
 from pandas.core.arrays import (
     BaseMaskedArray,
     BooleanArray,
@@ -121,7 +124,6 @@ class providing the base-class of operations.
     RangeIndex,
 )
 from pandas.core.internals.blocks import ensure_block_shape
-import pandas.core.sample as sample
 from pandas.core.series import Series
 from pandas.core.sorting import get_group_index_sorter
 from pandas.core.util.numba_ import (

pandas/core/groupby/grouper.py

@@ -31,7 +31,7 @@
     is_scalar,
 )
 
-import pandas.core.algorithms as algorithms
+from pandas.core import algorithms
 from pandas.core.arrays import (
     Categorical,
     ExtensionArray,

pandas/core/internals/blocks.py

@@ -77,6 +77,7 @@
     na_value_for_dtype,
 )
 
+from pandas.core import missing
 import pandas.core.algorithms as algos
 from pandas.core.array_algos.putmask import (
     extract_bool_array,
@@ -104,13 +105,12 @@
 from pandas.core.arrays.sparse import SparseDtype
 from pandas.core.base import PandasObject
 import pandas.core.common as com
-import pandas.core.computation.expressions as expressions
+from pandas.core.computation import expressions
 from pandas.core.construction import (
     ensure_wrapped_if_datetimelike,
     extract_array,
 )
 from pandas.core.indexers import check_setitem_lengths
-import pandas.core.missing as missing
 
 if TYPE_CHECKING:
     from pandas import (

pandas/core/internals/construction.py

@@ -15,7 +15,7 @@
 import warnings
 
 import numpy as np
-import numpy.ma as ma
+from numpy import ma
 
 from pandas._libs import lib
 from pandas._typing import (

pandas/core/nanops.py

@@ -519,12 +519,12 @@ def nanany(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, 2])
     >>> nanops.nanany(s)
     True
 
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([np.nan])
     >>> nanops.nanany(s)
     False
@@ -565,12 +565,12 @@ def nanall(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, 2, np.nan])
     >>> nanops.nanall(s)
     True
 
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, 0])
     >>> nanops.nanall(s)
     False
@@ -616,7 +616,7 @@ def nansum(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, 2, np.nan])
     >>> nanops.nansum(s)
     3.0
@@ -684,7 +684,7 @@ def nanmean(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, 2, np.nan])
     >>> nanops.nanmean(s)
     1.5
@@ -740,7 +740,7 @@ def nanmedian(values, *, axis: AxisInt | None = None, skipna: bool = True, mask=
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, np.nan, 2, 2])
     >>> nanops.nanmedian(s)
     2.0
@@ -901,7 +901,7 @@ def nanstd(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, np.nan, 2, 3])
     >>> nanops.nanstd(s)
     1.0
@@ -948,7 +948,7 @@ def nanvar(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, np.nan, 2, 3])
     >>> nanops.nanvar(s)
     1.0
@@ -1023,7 +1023,7 @@ def nansem(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, np.nan, 2, 3])
     >>> nanops.nansem(s)
      0.5773502691896258
@@ -1100,7 +1100,7 @@ def nanargmax(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> arr = np.array([1, 2, 3, np.nan, 4])
     >>> nanops.nanargmax(arr)
     4
@@ -1146,7 +1146,7 @@ def nanargmin(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> arr = np.array([1, 2, 3, np.nan, 4])
     >>> nanops.nanargmin(arr)
     0
@@ -1200,7 +1200,7 @@ def nanskew(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, np.nan, 1, 2])
     >>> nanops.nanskew(s)
     1.7320508075688787
@@ -1288,7 +1288,7 @@ def nankurt(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, np.nan, 1, 3, 2])
     >>> nanops.nankurt(s)
     -1.2892561983471076
@@ -1380,7 +1380,7 @@ def nanprod(
 
     Examples
     --------
-    >>> import pandas.core.nanops as nanops
+    >>> from pandas.core import nanops
     >>> s = pd.Series([1, 2, 3, np.nan])
     >>> nanops.nanprod(s)
     6.0

pandas/core/ops/array_ops.py

@@ -47,7 +47,7 @@
     notna,
 )
 
-import pandas.core.computation.expressions as expressions
+from pandas.core.computation import expressions
 from pandas.core.construction import ensure_wrapped_if_datetimelike
 from pandas.core.ops import (
     missing,

pandas/core/reshape/tile.py

@@ -43,8 +43,8 @@
     to_datetime,
     to_timedelta,
 )
+from pandas.core import nanops
 import pandas.core.algorithms as algos
-import pandas.core.nanops as nanops
 
 
 def cut(

pandas/core/strings/accessor.py

@@ -14,7 +14,7 @@
 
 import numpy as np
 
-import pandas._libs.lib as lib
+from pandas._libs import lib
 from pandas._typing import (
     AlignJoin,
     DtypeObj,

pandas/core/strings/object_array.py

@@ -11,7 +11,7 @@
 
 import numpy as np
 
-import pandas._libs.lib as lib
+from pandas._libs import lib
 import pandas._libs.missing as libmissing
 import pandas._libs.ops as libops
 from pandas._typing import (

pandas/core/window/ewm.py

@@ -27,7 +27,7 @@
 )
 from pandas.core.dtypes.missing import isna
 
-import pandas.core.common as common  # noqa: PDF018
+from pandas.core import common  # noqa: PDF018
 from pandas.core.indexers.objects import (
     BaseIndexer,
     ExponentialMovingWindowIndexer,

pandas/io/excel/_odswriter.py

@@ -10,7 +10,7 @@
     cast,
 )
 
-import pandas._libs.json as json
+from pandas._libs import json
 from pandas._typing import (
     FilePath,
     StorageOptions,

pandas/io/excel/_xlsxwriter.py

@@ -5,7 +5,7 @@
     Any,
 )
 
-import pandas._libs.json as json
+from pandas._libs import json
 from pandas._typing import (
     FilePath,
     StorageOptions,

pandas/io/json/_json.py

@@ -21,7 +21,7 @@
 
 import numpy as np
 
-import pandas._libs.json as json
+from pandas._libs import json
 from pandas._libs.tslibs import iNaT
 from pandas._typing import (
     CompressionOptions,