CLN: Unused imports in tslibs

pandas/_libs/tslibs/c_timestamp.pyx

@@ -23,8 +23,6 @@ cimport numpy as cnp
 from numpy cimport int64_t, int8_t
 cnp.import_array()
 
-from dateutil.tz import tzutc
-
 from cpython.datetime cimport (datetime,
                                PyDateTime_Check, PyDelta_Check,
                                PyDateTime_IMPORT)
@@ -38,9 +36,9 @@ from pandas._libs.tslibs.fields import get_start_end_field, get_date_name_field
 from pandas._libs.tslibs.nattype cimport c_NaT as NaT
 from pandas._libs.tslibs.np_datetime import OutOfBoundsDatetime
 from pandas._libs.tslibs.np_datetime cimport (
-    reverse_ops, cmp_scalar, npy_datetimestruct, dt64_to_dtstruct)
+    reverse_ops, cmp_scalar)
 from pandas._libs.tslibs.timezones cimport (
-    get_timezone, get_utcoffset, is_utc, tz_compare)
+    get_timezone, is_utc, tz_compare)
 from pandas._libs.tslibs.timezones import UTC
 from pandas._libs.tslibs.tzconversion cimport tz_convert_single
 
@@ -381,5 +379,6 @@ cdef class _Timestamp(datetime):
 
     def timestamp(self):
         """Return POSIX timestamp as float."""
-        # py27 compat, see GH#17329
+        # GH 17329
+        # Note: Naive timestamps will not match datetime.stdlib
         return round(self.value / 1e9, 6)

pandas/_libs/tslibs/conversion.pyx

@@ -3,23 +3,20 @@ import cython
 
 import numpy as np
 cimport numpy as cnp
-from numpy cimport uint8_t, int64_t, int32_t, intp_t, ndarray
+from numpy cimport int64_t, int32_t, intp_t, ndarray
 cnp.import_array()
 
 import pytz
-from dateutil.tz import tzutc
 
 # stdlib datetime imports
 from datetime import time as datetime_time
 from cpython.datetime cimport (datetime, tzinfo,
                                PyDateTime_Check, PyDate_Check,
-                               PyDateTime_IMPORT, PyDelta_Check)
+                               PyDateTime_IMPORT)
 PyDateTime_IMPORT
 
 from pandas._libs.tslibs.c_timestamp cimport _Timestamp
 
-from pandas._libs.tslibs.ccalendar import DAY_SECONDS, HOUR_SECONDS
-
 from pandas._libs.tslibs.np_datetime cimport (
     check_dts_bounds, npy_datetimestruct, pandas_datetime_to_datetimestruct,
     _string_to_dts, npy_datetime, dt64_to_dtstruct, dtstruct_to_dt64,
@@ -42,7 +39,7 @@ from pandas._libs.tslibs.nattype cimport (
     NPY_NAT, checknull_with_nat, c_NaT as NaT)
 
 from pandas._libs.tslibs.tzconversion import (
-    tz_localize_to_utc, tz_convert, tz_convert_single)
+    tz_localize_to_utc, tz_convert_single)
 from pandas._libs.tslibs.tzconversion cimport _tz_convert_tzlocal_utc
 
 # ----------------------------------------------------------------------

pandas/_libs/tslibs/timedeltas.pyx

@@ -3,8 +3,6 @@ import collections
 import textwrap
 import warnings
 
-import sys
-
 import cython
 
 from cpython cimport Py_NE, Py_EQ, PyObject_RichCompare
@@ -14,7 +12,7 @@ cimport numpy as cnp
 from numpy cimport int64_t
 cnp.import_array()
 
-from cpython.datetime cimport (datetime, timedelta,
+from cpython.datetime cimport (timedelta,
                                PyDateTime_Check, PyDelta_Check,
                                PyDateTime_IMPORT)
 PyDateTime_IMPORT

pandas/_libs/tslibs/timestamps.pyx

@@ -22,7 +22,6 @@ from pandas._libs.tslibs.conversion import normalize_i8_timestamps
 from pandas._libs.tslibs.conversion cimport (
     _TSObject, convert_to_tsobject,
     convert_datetime_to_tsobject)
-from pandas._libs.tslibs.fields import get_start_end_field, get_date_name_field
 from pandas._libs.tslibs.nattype cimport NPY_NAT, c_NaT as NaT
 from pandas._libs.tslibs.np_datetime cimport (
     check_dts_bounds, npy_datetimestruct, dt64_to_dtstruct)

pandas/core/arrays/datetimes.py

@@ -10,7 +10,7 @@
 from pandas._libs import lib, tslib
 from pandas._libs.tslibs import (
     NaT, Timestamp, ccalendar, conversion, fields, iNaT, normalize_date,
-    resolution as libresolution, timezones)
+    resolution as libresolution, timezones, tzconversion)
 import pandas.compat as compat
 from pandas.errors import PerformanceWarning
 from pandas.util._decorators import Appender
@@ -784,7 +784,7 @@ def _local_timestamps(self):
         This is used to calculate time-of-day information as if the timestamps
         were timezone-naive.
         """
-        return conversion.tz_convert(self.asi8, utc, self.tz)
+        return tzconversion.tz_convert(self.asi8, utc, self.tz)
 
     def tz_convert(self, tz):
         """
@@ -1032,8 +1032,8 @@ def tz_localize(self, tz, ambiguous='raise', nonexistent='raise',
 
         if self.tz is not None:
             if tz is None:
-                new_dates = conversion.tz_convert(self.asi8, timezones.UTC,
-                                                  self.tz)
+                new_dates = tzconversion.tz_convert(self.asi8, timezones.UTC,
+                                                    self.tz)
             else:
                 raise TypeError("Already tz-aware, use tz_convert to convert.")
         else:

pandas/tests/tslibs/test_conversion.py

@@ -7,7 +7,7 @@
 from pytz import UTC
 
 from pandas._libs.tslib import iNaT
-from pandas._libs.tslibs import conversion, timezones
+from pandas._libs.tslibs import conversion, timezones, tzconversion
 
 from pandas import Timestamp, date_range
 import pandas.util.testing as tm
@@ -17,7 +17,7 @@ def _compare_utc_to_local(tz_didx):
     def f(x):
         return conversion.tz_convert_single(x, UTC, tz_didx.tz)
 
-    result = conversion.tz_convert(tz_didx.asi8, UTC, tz_didx.tz)
+    result = tzconversion.tz_convert(tz_didx.asi8, UTC, tz_didx.tz)
     expected = np.vectorize(f)(tz_didx.asi8)
 
     tm.assert_numpy_array_equal(result, expected)
@@ -27,7 +27,7 @@ def _compare_local_to_utc(tz_didx, utc_didx):
     def f(x):
         return conversion.tz_convert_single(x, tz_didx.tz, UTC)
 
-    result = conversion.tz_convert(utc_didx.asi8, tz_didx.tz, UTC)
+    result = tzconversion.tz_convert(utc_didx.asi8, tz_didx.tz, UTC)
     expected = np.vectorize(f)(utc_didx.asi8)
 
     tm.assert_numpy_array_equal(result, expected)
@@ -56,9 +56,9 @@ def test_tz_convert_single_matches_tz_convert(tz_aware_fixture, freq):
     pytest.param(np.array([], dtype=np.int64), id="empty"),
     pytest.param(np.array([iNaT], dtype=np.int64), id="all_nat")])
 def test_tz_convert_corner(arr):
-    result = conversion.tz_convert(arr,
-                                   timezones.maybe_get_tz("US/Eastern"),
-                                   timezones.maybe_get_tz("Asia/Tokyo"))
+    result = tzconversion.tz_convert(arr,
+                                     timezones.maybe_get_tz("US/Eastern"),
+                                     timezones.maybe_get_tz("Asia/Tokyo"))
     tm.assert_numpy_array_equal(result, arr)
 
 

pandas/tseries/frequencies.py

@@ -9,13 +9,13 @@
 from pandas._libs.algos import unique_deltas
 from pandas._libs.tslibs import Timedelta, Timestamp
 from pandas._libs.tslibs.ccalendar import MONTH_ALIASES, int_to_weekday
-from pandas._libs.tslibs.conversion import tz_convert
 from pandas._libs.tslibs.fields import build_field_sarray
 import pandas._libs.tslibs.frequencies as libfreqs
 from pandas._libs.tslibs.offsets import _offset_to_period_map
 import pandas._libs.tslibs.resolution as libresolution
 from pandas._libs.tslibs.resolution import Resolution
 from pandas._libs.tslibs.timezones import UTC
+from pandas._libs.tslibs.tzconversion import tz_convert
 from pandas.util._decorators import cache_readonly
 
 from pandas.core.dtypes.common import (