blacken

Author: jorisvandenbossche

pandas/__init__.py

@@ -1,6 +1,6 @@
 # flake8: noqa
 
-__docformat__ = 'restructuredtext'
+__docformat__ = "restructuredtext"
 
 # Let users know if they're missing any of our hard dependencies
 hard_dependencies = ("numpy", "pytz", "dateutil")
@@ -13,109 +13,182 @@
         missing_dependencies.append("{0}: {1}".format(dependency, str(e)))
 
 if missing_dependencies:
-    raise ImportError("Unable to import required dependencies:\n" + "\n".join(missing_dependencies))
+    raise ImportError(
+        "Unable to import required dependencies:\n" + "\n".join(missing_dependencies)
+    )
 del hard_dependencies, dependency, missing_dependencies
 
 # numpy compat
 from pandas.compat.numpy import (
-    _np_version_under1p14, _np_version_under1p15, _np_version_under1p16,
-    _np_version_under1p17)
+    _np_version_under1p14,
+    _np_version_under1p15,
+    _np_version_under1p16,
+    _np_version_under1p17,
+)
 
 try:
-    from pandas._libs import (hashtable as _hashtable,
-                             lib as _lib,
-                             tslib as _tslib)
+    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("C extension: {0} 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.".format(module))
+    module = str(e).replace("cannot import name ", "")
+    raise ImportError(
+        "C extension: {0} 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.".format(module)
+    )
 
 from datetime import datetime
 
-from pandas._config import (get_option, set_option, reset_option,
-                            describe_option, option_context, options)
+from pandas._config import (
+    get_option,
+    set_option,
+    reset_option,
+    describe_option,
+    option_context,
+    options,
+)
 
 # let init-time option registration happen
 import pandas.core.config_init
 
 from pandas.core.api import (
     # dtype
-    Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype, UInt8Dtype,
-    UInt16Dtype, UInt32Dtype, UInt64Dtype, CategoricalDtype,
-    PeriodDtype, IntervalDtype, DatetimeTZDtype,
-
+    Int8Dtype,
+    Int16Dtype,
+    Int32Dtype,
+    Int64Dtype,
+    UInt8Dtype,
+    UInt16Dtype,
+    UInt32Dtype,
+    UInt64Dtype,
+    CategoricalDtype,
+    PeriodDtype,
+    IntervalDtype,
+    DatetimeTZDtype,
     # missing
-    isna, isnull, notna, notnull,
-
+    isna,
+    isnull,
+    notna,
+    notnull,
     # indexes
-    Index, CategoricalIndex, Int64Index, UInt64Index, RangeIndex,
-    Float64Index, MultiIndex, IntervalIndex, TimedeltaIndex,
-    DatetimeIndex, PeriodIndex, IndexSlice,
-
+    Index,
+    CategoricalIndex,
+    Int64Index,
+    UInt64Index,
+    RangeIndex,
+    Float64Index,
+    MultiIndex,
+    IntervalIndex,
+    TimedeltaIndex,
+    DatetimeIndex,
+    PeriodIndex,
+    IndexSlice,
     # tseries
-    NaT, Period, period_range, Timedelta, timedelta_range,
-    Timestamp, date_range, bdate_range, Interval, interval_range,
+    NaT,
+    Period,
+    period_range,
+    Timedelta,
+    timedelta_range,
+    Timestamp,
+    date_range,
+    bdate_range,
+    Interval,
+    interval_range,
     DateOffset,
-
     # conversion
-    to_numeric, to_datetime, to_timedelta,
-
+    to_numeric,
+    to_datetime,
+    to_timedelta,
     # misc
-    np, Grouper, factorize, unique, value_counts, NamedAgg,
-    array, Categorical, set_eng_float_format, Series, DataFrame,
-    Panel)
+    np,
+    Grouper,
+    factorize,
+    unique,
+    value_counts,
+    NamedAgg,
+    array,
+    Categorical,
+    set_eng_float_format,
+    Series,
+    DataFrame,
+    Panel,
+)
 
 from pandas.core.sparse.api import (
-    SparseArray, SparseDataFrame, SparseSeries, SparseDtype)
+    SparseArray,
+    SparseDataFrame,
+    SparseSeries,
+    SparseDtype,
+)
 
 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)
+    concat,
+    lreshape,
+    melt,
+    wide_to_long,
+    merge,
+    merge_asof,
+    merge_ordered,
+    crosstab,
+    pivot,
+    pivot_table,
+    get_dummies,
+    cut,
+    qcut,
+)
 
 from pandas.util._print_versions import show_versions
 
 from pandas.io.api import (
     # excel
-    ExcelFile, ExcelWriter, read_excel,
-
+    ExcelFile,
+    ExcelWriter,
+    read_excel,
     # packers
-    read_msgpack, to_msgpack,
-
+    read_msgpack,
+    to_msgpack,
     # parsers
-    read_csv, read_fwf, read_table,
-
+    read_csv,
+    read_fwf,
+    read_table,
     # pickle
-    read_pickle, to_pickle,
-
+    read_pickle,
+    to_pickle,
     # pytables
-    HDFStore, read_hdf,
-
+    HDFStore,
+    read_hdf,
     # sql
-    read_sql, read_sql_query,
+    read_sql,
+    read_sql_query,
     read_sql_table,
-
     # misc
-    read_clipboard, read_parquet, read_feather, read_gbq,
-    read_html, read_json, read_stata, read_sas, read_spss)
+    read_clipboard,
+    read_parquet,
+    read_feather,
+    read_gbq,
+    read_html,
+    read_json,
+    read_stata,
+    read_sas,
+    read_spss,
+)
 
 from pandas.util._tester import test
 import pandas.testing
 import pandas.arrays
 
 # use the closest tagged version if possible
 from ._version import get_versions
+
 v = get_versions()
-__version__ = v.get('closest-tag', v['version'])
-__git_version__ = v.get('full-revisionid')
+__version__ = v.get("closest-tag", v["version"])
+__git_version__ = v.get("full-revisionid")
 del get_versions, v
 
 # module level doc-string

pandas/_config/__init__.py

@@ -5,11 +5,24 @@
 importing `dates` and `display` ensures that keys needed by _libs
 are initialized.
 """
-__all__ = ["config", "detect_console_encoding", "get_option", "set_option",
-           "reset_option", "describe_option", "option_context", "options"]
+__all__ = [
+    "config",
+    "detect_console_encoding",
+    "get_option",
+    "set_option",
+    "reset_option",
+    "describe_option",
+    "option_context",
+    "options",
+]
 from pandas._config import config
 from pandas._config import dates  # noqa:F401
 from pandas._config.config import (
-    describe_option, get_option, option_context, options, reset_option,
-    set_option)
+    describe_option,
+    get_option,
+    option_context,
+    options,
+    reset_option,
+    set_option,
+)
 from pandas._config.display import detect_console_encoding