isort formatting

Author: MomIsBestFriend

pandas/__init__.py

@@ -18,170 +18,155 @@
     )
 del hard_dependencies, dependency, missing_dependencies
 
+from pandas._config import (
+    describe_option,
+    get_option,
+    option_context,
+    options,
+    reset_option,
+    set_option,
+)
+
 # numpy compat
 from pandas.compat.numpy import (
+    _is_numpy_dev,
     _np_version_under1p14,
     _np_version_under1p15,
     _np_version_under1p16,
     _np_version_under1p17,
     _np_version_under1p18,
-    _is_numpy_dev,
 )
+from pandas.util._print_versions import show_versions
+from pandas.util._tester import test
 
-try:
-    from pandas._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 ", "")
-    raise ImportError(
-        f"C extension: {module} not built. If you want to import "
-        "pandas from the source directory, you may need to run "
-        "'python setup.py build_ext --inplace --force' to build the C extensions first."
-    ) from e
-
-from pandas._config import (
-    get_option,
-    set_option,
-    reset_option,
-    describe_option,
-    option_context,
-    options,
-)
+from pandas.core.dtypes.generic import ABCSparseArray
 
 # let init-time option registration happen
+import pandas.api
+import pandas.arrays
+from pandas.core.arrays.sparse import SparseDtype
+from pandas.core.computation.api import eval
 import pandas.core.config_init
+from pandas.core.reshape.api import (
+    concat,
+    crosstab,
+    cut,
+    get_dummies,
+    lreshape,
+    melt,
+    merge,
+    merge_asof,
+    merge_ordered,
+    pivot,
+    pivot_table,
+    qcut,
+    wide_to_long,
+)
+import pandas.testing
 
-from pandas.core.api import (
-    # dtype
+from pandas.io.json import _json_normalize as json_normalize
+from pandas.tseries import offsets
+from pandas.tseries.api import infer_freq
+
+# use the closest tagged version if possible
+from ._version import get_versions
+
+from pandas.core.api import (  # dtype; missing; indexes; tseries; conversion; misc
+    NA,
+    BooleanDtype,
+    Categorical,
+    CategoricalDtype,
+    CategoricalIndex,
+    DataFrame,
+    DateOffset,
+    DatetimeIndex,
+    DatetimeTZDtype,
+    Float64Index,
+    Grouper,
+    Index,
+    IndexSlice,
     Int8Dtype,
     Int16Dtype,
     Int32Dtype,
     Int64Dtype,
+    Int64Index,
+    Interval,
+    IntervalDtype,
+    IntervalIndex,
+    MultiIndex,
+    NamedAgg,
+    NaT,
+    Period,
+    PeriodDtype,
+    PeriodIndex,
+    RangeIndex,
+    Series,
+    StringDtype,
+    Timedelta,
+    TimedeltaIndex,
+    Timestamp,
     UInt8Dtype,
     UInt16Dtype,
     UInt32Dtype,
     UInt64Dtype,
-    CategoricalDtype,
-    PeriodDtype,
-    IntervalDtype,
-    DatetimeTZDtype,
-    StringDtype,
-    BooleanDtype,
-    # missing
-    NA,
+    UInt64Index,
+    array,
+    bdate_range,
+    date_range,
+    factorize,
+    interval_range,
     isna,
     isnull,
     notna,
     notnull,
-    # indexes
-    Index,
-    CategoricalIndex,
-    Int64Index,
-    UInt64Index,
-    RangeIndex,
-    Float64Index,
-    MultiIndex,
-    IntervalIndex,
-    TimedeltaIndex,
-    DatetimeIndex,
-    PeriodIndex,
-    IndexSlice,
-    # tseries
-    NaT,
-    Period,
     period_range,
-    Timedelta,
+    set_eng_float_format,
     timedelta_range,
-    Timestamp,
-    date_range,
-    bdate_range,
-    Interval,
-    interval_range,
-    DateOffset,
-    # conversion
-    to_numeric,
     to_datetime,
+    to_numeric,
     to_timedelta,
-    # misc
-    Grouper,
-    factorize,
     unique,
     value_counts,
-    NamedAgg,
-    array,
-    Categorical,
-    set_eng_float_format,
-    Series,
-    DataFrame,
 )
 
-from pandas.core.arrays.sparse import SparseDtype
-from pandas.core.dtypes.generic import ABCSparseArray
-
-from pandas.tseries.api import infer_freq
-from pandas.tseries import offsets
-
-from pandas.core.computation.api import eval
-
-from pandas.core.reshape.api import (
-    concat,
-    lreshape,
-    melt,
-    wide_to_long,
-    merge,
-    merge_asof,
-    merge_ordered,
-    crosstab,
-    pivot,
-    pivot_table,
-    get_dummies,
-    cut,
-    qcut,
-)
-
-import pandas.api
-from pandas.util._print_versions import show_versions
-
-from pandas.io.api import (
-    # excel
+from pandas.io.api import (  # excel; parsers; pickle; pytables; sql; misc
     ExcelFile,
     ExcelWriter,
-    read_excel,
-    # parsers
-    read_csv,
-    read_fwf,
-    read_table,
-    # pickle
-    read_pickle,
-    to_pickle,
-    # pytables
     HDFStore,
-    read_hdf,
-    # sql
-    read_sql,
-    read_sql_query,
-    read_sql_table,
-    # misc
     read_clipboard,
-    read_parquet,
-    read_orc,
+    read_csv,
+    read_excel,
     read_feather,
+    read_fwf,
     read_gbq,
+    read_hdf,
     read_html,
     read_json,
-    read_stata,
+    read_orc,
+    read_parquet,
+    read_pickle,
     read_sas,
     read_spss,
+    read_sql,
+    read_sql_query,
+    read_sql_table,
+    read_stata,
+    read_table,
+    to_pickle,
 )
 
-from pandas.io.json import _json_normalize as json_normalize
 
-from pandas.util._tester import test
-import pandas.testing
-import pandas.arrays
+try:
+    from pandas._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 ", "")
+    raise ImportError(
+        f"C extension: {module} not built. If you want to import "
+        "pandas from the source directory, you may need to run "
+        "'python setup.py build_ext --inplace --force' to build the C extensions first."
+    ) from e
 
-# use the closest tagged version if possible
-from ._version import get_versions
 
 v = get_versions()
 __version__ = v.get("closest-tag", v["version"])