TYP: enable reportUnusedImport

pandas/__init__.py

@@ -1,4 +1,3 @@
-# flake8: noqa
 from __future__ import annotations
 
 __docformat__ = "restructuredtext"
@@ -20,7 +19,7 @@
 del _hard_dependencies, _dependency, _missing_dependencies
 
 # numpy compat
-from pandas.compat import is_numpy_dev as _is_numpy_dev
+from pandas.compat import is_numpy_dev as _is_numpy_dev  # pyright: ignore # noqa:F401
 
 try:
     from pandas._libs import hashtable as _hashtable, lib as _lib, tslib as _tslib
@@ -44,7 +43,7 @@
 )
 
 # let init-time option registration happen
-import pandas.core.config_init
+import pandas.core.config_init  # pyright: ignore # noqa:F401
 
 from pandas.core.api import (
     # dtype
@@ -134,7 +133,8 @@
     qcut,
 )
 
-from pandas import api, arrays, errors, io, plotting, testing, tseries
+from pandas import api, arrays, errors, io, plotting, tseries
+from pandas import testing  # noqa:PDF015
 from pandas.util._print_versions import show_versions
 
 from pandas.io.api import (

pandas/_config/__init__.py

@@ -16,7 +16,7 @@
     "options",
 ]
 from pandas._config import config
-from pandas._config import dates  # noqa:F401
+from pandas._config import dates  # pyright: ignore # noqa:F401
 from pandas._config.config import (
     describe_option,
     get_option,

pandas/_testing/__init__.py

@@ -19,7 +19,7 @@
 
 import numpy as np
 
-from pandas._config.localization import (  # noqa:F401
+from pandas._config.localization import (
     can_set_locale,
     get_locales,
     set_locale,
@@ -49,24 +49,24 @@
     Series,
     bdate_range,
 )
-from pandas._testing._io import (  # noqa:F401
+from pandas._testing._io import (
     close,
     network,
     round_trip_localpath,
     round_trip_pathlib,
     round_trip_pickle,
     write_to_compressed,
 )
-from pandas._testing._random import (  # noqa:F401
+from pandas._testing._random import (
     randbool,
     rands,
     rands_array,
 )
-from pandas._testing._warnings import (  # noqa:F401
+from pandas._testing._warnings import (
     assert_produces_warning,
     maybe_produces_warning,
 )
-from pandas._testing.asserters import (  # noqa:F401
+from pandas._testing.asserters import (
     assert_almost_equal,
     assert_attr_equal,
     assert_categorical_equal,
@@ -91,11 +91,11 @@
     assert_timedelta_array_equal,
     raise_assert_detail,
 )
-from pandas._testing.compat import (  # noqa:F401
+from pandas._testing.compat import (
     get_dtype,
     get_obj,
 )
-from pandas._testing.contexts import (  # noqa:F401
+from pandas._testing.contexts import (
     RNGContext,
     decompress_file,
     ensure_clean,
@@ -1033,3 +1033,128 @@ def shares_memory(left, right) -> bool:
         return shares_memory(arr, right)
 
     raise NotImplementedError(type(left), type(right))
+
+
+__all__ = [
+    "ALL_INT_EA_DTYPES",
+    "ALL_INT_NUMPY_DTYPES",
+    "ALL_NUMPY_DTYPES",
+    "ALL_REAL_NUMPY_DTYPES",
+    "all_timeseries_index_generator",
+    "assert_almost_equal",
+    "assert_attr_equal",
+    "assert_categorical_equal",
+    "assert_class_equal",
+    "assert_contains_all",
+    "assert_copy",
+    "assert_datetime_array_equal",
+    "assert_dict_equal",
+    "assert_equal",
+    "assert_extension_array_equal",
+    "assert_frame_equal",
+    "assert_index_equal",
+    "assert_indexing_slices_equivalent",
+    "assert_interval_array_equal",
+    "assert_is_sorted",
+    "assert_is_valid_plot_return_object",
+    "assert_metadata_equivalent",
+    "assert_numpy_array_equal",
+    "assert_period_array_equal",
+    "assert_produces_warning",
+    "assert_series_equal",
+    "assert_sp_array_equal",
+    "assert_timedelta_array_equal",
+    "at",
+    "BOOL_DTYPES",
+    "box_expected",
+    "BYTES_DTYPES",
+    "can_set_locale",
+    "close",
+    "COMPLEX_DTYPES",
+    "convert_rows_list_to_csv_str",
+    "DATETIME64_DTYPES",
+    "decompress_file",
+    "EMPTY_STRING_PATTERN",
+    "ENDIAN",
+    "ensure_clean",
+    "ensure_clean_dir",
+    "ensure_safe_environment_variables",
+    "equalContents",
+    "external_error_raised",
+    "FLOAT_EA_DTYPES",
+    "FLOAT_NUMPY_DTYPES",
+    "getCols",
+    "get_cython_table_params",
+    "get_dtype",
+    "getitem",
+    "get_locales",
+    "getMixedTypeDict",
+    "get_obj",
+    "get_op_from_name",
+    "getPeriodData",
+    "getSeriesData",
+    "getTimeSeriesData",
+    "iat",
+    "iloc",
+    "index_subclass_makers_generator",
+    "loc",
+    "makeBoolIndex",
+    "makeCategoricalIndex",
+    "makeCustomDataframe",
+    "makeCustomIndex",
+    "makeDataFrame",
+    "makeDateIndex",
+    "makeFloatIndex",
+    "makeFloatSeries",
+    "makeIntervalIndex",
+    "makeIntIndex",
+    "makeMissingDataframe",
+    "makeMixedDataFrame",
+    "makeMultiIndex",
+    "makeNumericIndex",
+    "makeObjectSeries",
+    "makePeriodFrame",
+    "makePeriodIndex",
+    "makePeriodSeries",
+    "make_rand_series",
+    "makeRangeIndex",
+    "makeStringIndex",
+    "makeStringSeries",
+    "makeTimeDataFrame",
+    "makeTimedeltaIndex",
+    "makeTimeSeries",
+    "makeUIntIndex",
+    "maybe_produces_warning",
+    "NARROW_NP_DTYPES",
+    "network",
+    "NP_NAT_OBJECTS",
+    "NULL_OBJECTS",
+    "OBJECT_DTYPES",
+    "raise_assert_detail",
+    "randbool",
+    "rands",
+    "reset_display_options",
+    "reset_testing_mode",
+    "RNGContext",
+    "round_trip_localpath",
+    "round_trip_pathlib",
+    "round_trip_pickle",
+    "setitem",
+    "set_locale",
+    "set_testing_mode",
+    "set_timezone",
+    "shares_memory",
+    "SIGNED_INT_EA_DTYPES",
+    "SIGNED_INT_NUMPY_DTYPES",
+    "STRING_DTYPES",
+    "SubclassedCategorical",
+    "SubclassedDataFrame",
+    "SubclassedSeries",
+    "TIMEDELTA64_DTYPES",
+    "to_array",
+    "UNSIGNED_INT_EA_DTYPES",
+    "UNSIGNED_INT_NUMPY_DTYPES",
+    "use_numexpr",
+    "with_csv_dialect",
+    "write_to_compressed",
+]

pandas/api/__init__.py

@@ -1,7 +1,14 @@
 """ public toolkit API """
-from pandas.api import (  # noqa:F401
+from pandas.api import (
     exchange,
     extensions,
     indexers,
     types,
 )
+
+__all__ = [
+    "exchange",
+    "extensions",
+    "indexers",
+    "types",
+]

pandas/conftest.py

@@ -1734,7 +1734,7 @@ def spmatrix(request):
     params=[
         getattr(pd.offsets, o)
         for o in pd.offsets.__all__
-        if issubclass(getattr(pd.offsets, o), pd.offsets.Tick)
+        if issubclass(getattr(pd.offsets, o), pd.offsets.Tick) and o != "Tick"
     ]
 )
 def tick_classes(request):

pandas/core/api.py

@@ -1,5 +1,3 @@
-# flake8: noqa:F401
-
 from pandas._libs import (
     NaT,
     Period,
@@ -84,3 +82,65 @@
 
 # DataFrame needs to be imported after NamedAgg to avoid a circular import
 from pandas.core.frame import DataFrame  # isort:skip
+
+__all__ = [
+    "array",
+    "bdate_range",
+    "BooleanDtype",
+    "Categorical",
+    "CategoricalDtype",
+    "CategoricalIndex",
+    "DataFrame",
+    "DateOffset",
+    "date_range",
+    "DatetimeIndex",
+    "DatetimeTZDtype",
+    "factorize",
+    "Flags",
+    "Float32Dtype",
+    "Float64Dtype",
+    "Float64Index",
+    "Grouper",
+    "Index",
+    "IndexSlice",
+    "Int16Dtype",
+    "Int32Dtype",
+    "Int64Dtype",
+    "Int64Index",
+    "Int8Dtype",
+    "Interval",
+    "IntervalDtype",
+    "IntervalIndex",
+    "interval_range",
+    "isna",
+    "isnull",
+    "MultiIndex",
+    "NA",
+    "NamedAgg",
+    "NaT",
+    "notna",
+    "notnull",
+    "NumericIndex",
+    "Period",
+    "PeriodDtype",
+    "PeriodIndex",
+    "period_range",
+    "RangeIndex",
+    "Series",
+    "set_eng_float_format",
+    "StringDtype",
+    "Timedelta",
+    "TimedeltaIndex",
+    "timedelta_range",
+    "Timestamp",
+    "to_datetime",
+    "to_numeric",
+    "to_timedelta",
+    "UInt16Dtype",
+    "UInt32Dtype",
+    "UInt64Dtype",
+    "UInt64Index",
+    "UInt8Dtype",
+    "unique",
+    "value_counts",
+]

pandas/core/arrays/arrow/__init__.py

@@ -1,3 +1,3 @@
-# flake8: noqa: F401
-
 from pandas.core.arrays.arrow.array import ArrowExtensionArray
+
+__all__ = ["ArrowExtensionArray"]

pandas/core/arrays/sparse/__init__.py

@@ -1,5 +1,3 @@
-# flake8: noqa: F401
-
 from pandas.core.arrays.sparse.accessor import (
     SparseAccessor,
     SparseFrameAccessor,
@@ -11,3 +9,13 @@
     make_sparse_index,
 )
 from pandas.core.arrays.sparse.dtype import SparseDtype
+
+__all__ = [
+    "BlockIndex",
+    "IntIndex",
+    "make_sparse_index",
+    "SparseAccessor",
+    "SparseArray",
+    "SparseDtype",
+    "SparseFrameAccessor",
+]

pandas/core/dtypes/api.py

@@ -1,5 +1,3 @@
-# flake8: noqa:F401
-
 from pandas.core.dtypes.common import (
     is_array_like,
     is_bool,
@@ -43,3 +41,47 @@
     is_unsigned_integer_dtype,
     pandas_dtype,
 )
+
+__all__ = [
+    "is_array_like",
+    "is_bool",
+    "is_bool_dtype",
+    "is_categorical",
+    "is_categorical_dtype",
+    "is_complex",
+    "is_complex_dtype",
+    "is_datetime64_any_dtype",
+    "is_datetime64_dtype",
+    "is_datetime64_ns_dtype",
+    "is_datetime64tz_dtype",
+    "is_dict_like",
+    "is_dtype_equal",
+    "is_extension_array_dtype",
+    "is_extension_type",
+    "is_file_like",
+    "is_float",
+    "is_float_dtype",
+    "is_hashable",
+    "is_int64_dtype",
+    "is_integer",
+    "is_integer_dtype",
+    "is_interval",
+    "is_interval_dtype",
+    "is_iterator",
+    "is_list_like",
+    "is_named_tuple",
+    "is_number",
+    "is_numeric_dtype",
+    "is_object_dtype",
+    "is_period_dtype",
+    "is_re",
+    "is_re_compilable",
+    "is_scalar",
+    "is_signed_integer_dtype",
+    "is_sparse",
+    "is_string_dtype",
+    "is_timedelta64_dtype",
+    "is_timedelta64_ns_dtype",
+    "is_unsigned_integer_dtype",
+    "pandas_dtype",
+]