STYLE fix: pylint "consider-using-from" (#49335)

* use from import

* delete empty file

Co-authored-by: carlotta <c.fabian@turbit.de>
Co-authored-by: cfabian <cfabian@student.42wolfsburg.de>

Author: 3 people

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 (