BUG: date_range doesn't propagate ambigous=False to tz_localize

doc/source/whatsnew/v1.1.0.rst

@@ -941,7 +941,6 @@ Timezones
 ^^^^^^^^^
 
 - Bug in :func:`to_datetime` with ``infer_datetime_format=True`` where timezone names (e.g. ``UTC``) would not be parsed correctly (:issue:`33133`)
--
 
 
 Numeric

doc/source/whatsnew/v1.2.0.rst

@@ -0,0 +1,210 @@
+.. _whatsnew_120:
+
+What's new in 1.2.0 (??)
+------------------------
+
+These are the changes in pandas 1.2.0. See :ref:`release` for a full changelog
+including other versions of pandas.
+
+{{ header }}
+
+.. ---------------------------------------------------------------------------
+
+Enhancements
+~~~~~~~~~~~~
+
+
+.. _whatsnew_120.enhancements.other:
+
+Other enhancements
+^^^^^^^^^^^^^^^^^^
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_120.notable_bug_fixes:
+
+Notable bug fixes
+~~~~~~~~~~~~~~~~~
+
+These are bug fixes that might have notable behavior changes.
+
+
+Increased minimum versions for dependencies
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+Some minimum supported versions of dependencies were updated ().
+If installed, we now require:
+
++-----------------+-----------------+----------+---------+
+| Package         | Minimum Version | Required | Changed |
++=================+=================+==========+=========+
+| numpy           | 1.15.4          |    X     |        |
++-----------------+-----------------+----------+---------+
+| pytz            | 2015.4          |    X     |         |
++-----------------+-----------------+----------+---------+
+| python-dateutil | 2.7.3           |    X     |        |
++-----------------+-----------------+----------+---------+
+| bottleneck      | 1.2.1           |          |         |
++-----------------+-----------------+----------+---------+
+| numexpr         | 2.6.2           |          |         |
++-----------------+-----------------+----------+---------+
+| pytest (dev)    | 4.0.2           |          |         |
++-----------------+-----------------+----------+---------+
+
+For `optional libraries <https://dev.pandas.io/docs/install.html#dependencies>`_ the general recommendation is to use the latest version.
+The following table lists the lowest version per library that is currently being tested throughout the development of pandas.
+Optional libraries below the lowest tested version may still work, but are not considered supported.
+
++-----------------+-----------------+---------+
+| Package         | Minimum Version | Changed |
++=================+=================+=========+
+| beautifulsoup4  | 4.6.0           |         |
++-----------------+-----------------+---------+
+| fastparquet     | 0.3.2           |         |
++-----------------+-----------------+---------+
+| fsspec          | 0.7.4           |         |
++-----------------+-----------------+---------+
+| gcsfs           | 0.6.0           |        |
++-----------------+-----------------+---------+
+| lxml            | 3.8.0           |         |
++-----------------+-----------------+---------+
+| matplotlib      | 2.2.2           |         |
++-----------------+-----------------+---------+
+| numba           | 0.46.0          |         |
++-----------------+-----------------+---------+
+| openpyxl        | 2.5.7           |         |
++-----------------+-----------------+---------+
+| pyarrow         | 0.13.0          |         |
++-----------------+-----------------+---------+
+| pymysql         | 0.7.1           |         |
++-----------------+-----------------+---------+
+| pytables        | 3.4.3           |        |
++-----------------+-----------------+---------+
+| s3fs            | 0.4.0           |        |
++-----------------+-----------------+---------+
+| scipy           | 1.2.0           |        |
++-----------------+-----------------+---------+
+| sqlalchemy      | 1.1.4           |         |
++-----------------+-----------------+---------+
+| xarray          | 0.8.2           |         |
++-----------------+-----------------+---------+
+| xlrd            | 1.1.0           |         |
++-----------------+-----------------+---------+
+| xlsxwriter      | 0.9.8           |         |
++-----------------+-----------------+---------+
+| xlwt            | 1.2.0           |         |
++-----------------+-----------------+---------+
+| pandas-gbq      | 1.2.0           |        |
++-----------------+-----------------+---------+
+
+See :ref:`install.dependencies` and :ref:`install.optional_dependencies` for more.
+
+Development Changes
+^^^^^^^^^^^^^^^^^^^
+
+-
+
+.. _whatsnew_120.deprecations:
+
+Deprecations
+~~~~~~~~~~~~
+
+-
+
+.. ---------------------------------------------------------------------------
+
+
+.. _whatsnew_120.performance:
+
+Performance improvements
+~~~~~~~~~~~~~~~~~~~~~~~~
+
+-
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_120.bug_fixes:
+
+Bug fixes
+~~~~~~~~~
+
+
+Categorical
+^^^^^^^^^^^
+-
+
+Datetimelike
+^^^^^^^^^^^^
+-
+
+Timedelta
+^^^^^^^^^
+-
+
+Timezones
+^^^^^^^^^
+- Bug in :func:`date_range` was raising AmbiguousTimeError for valid input with `ambiguous=False` (:issue:`35297`)
+
+Numeric
+^^^^^^^
+-
+
+Conversion
+^^^^^^^^^^
+-
+
+Strings
+^^^^^^^
+-
+
+Interval
+^^^^^^^^
+-
+
+Indexing
+^^^^^^^^
+-
+
+Missing
+^^^^^^^
+-
+
+MultiIndex
+^^^^^^^^^^
+-
+
+I/O
+^^^
+-
+
+Plotting
+^^^^^^^^
+-
+
+Groupby/resample/rolling
+^^^^^^^^^^^^^^^^^^^^^^^^
+-
+
+Reshaping
+^^^^^^^^^
+-
+
+Sparse
+^^^^^^
+-
+
+ExtensionArray
+^^^^^^^^^^^^^^
+-
+
+Other
+^^^^^
+-
+
+.. ---------------------------------------------------------------------------
+
+.. _whatsnew_120.contributors:
+
+Contributors
+~~~~~~~~~~~~
+

pandas/core/arrays/datetimes.py

@@ -418,9 +418,9 @@ def _generate_range(
                 # index is localized datetime64 array -> have to convert
                 # start/end as well to compare
                 if start is not None:
-                    start = start.tz_localize(tz).asm8
+                    start = start.tz_localize(tz, ambiguous, nonexistent).asm8
                 if end is not None:
-                    end = end.tz_localize(tz).asm8
+                    end = end.tz_localize(tz, ambiguous, nonexistent).asm8
         else:
             # Create a linearly spaced date_range in local time
             # Nanosecond-granularity timestamps aren't always correctly

pandas/tests/indexes/datetimes/test_constructors.py

@@ -787,6 +787,65 @@ def test_construction_with_nat_and_tzlocal(self):
         expected = DatetimeIndex([Timestamp("2018", tz=tz), pd.NaT])
         tm.assert_index_equal(result, expected)
 
+    def test_constructor_with_ambiguous_keyword_arg(self):
+        # GH 35297
+
+        expected = DatetimeIndex(
+            ["2020-11-01 01:00:00", "2020-11-02 01:00:00"],
+            dtype="datetime64[ns, America/New_York]",
+            freq="D",
+            ambiguous=False,
+        )
+
+        # ambiguous keyword in start
+        timezone = "America/New_York"
+        start = pd.Timestamp(year=2020, month=11, day=1, hour=1).tz_localize(
+            timezone, ambiguous=False
+        )
+        result = pd.date_range(start=start, periods=2, ambiguous=False)
+        tm.assert_index_equal(result, expected)
+
+        # ambiguous keyword in end
+        timezone = "America/New_York"
+        end = pd.Timestamp(year=2020, month=11, day=2, hour=1).tz_localize(
+            timezone, ambiguous=False
+        )
+        result = pd.date_range(end=end, periods=2, ambiguous=False)
+        tm.assert_index_equal(result, expected)
+
+    def test_constructor_with_nonexistent_keyword_arg(self):
+        # GH 35297
+
+        timezone = "Europe/Warsaw"
+
+        # nonexistent keyword in start
+        start = pd.Timestamp("2015-03-29 02:30:00").tz_localize(
+            timezone, nonexistent="shift_forward"
+        )
+        result = pd.date_range(start=start, periods=2, freq="H")
+        expected = DatetimeIndex(
+            [
+                pd.Timestamp("2015-03-29 03:00:00+02:00", tz=timezone),
+                pd.Timestamp("2015-03-29 04:00:00+02:00", tz=timezone),
+            ]
+        )
+
+        tm.assert_index_equal(result, expected)
+
+        # nonexistent keyword in end
+        end = pd.Timestamp("2015-03-29 02:30:00").tz_localize(
+            timezone, nonexistent="shift_forward"
+        )
+        result = pd.date_range(end=end, periods=2, freq="H")
+        expected = DatetimeIndex(
+            [
+                pd.Timestamp("2015-03-29 01:00:00+01:00", tz=timezone),
+                pd.Timestamp("2015-03-29 03:00:00+02:00", tz=timezone),
+            ]
+        )
+
+        tm.assert_index_equal(result, expected)
+
     def test_constructor_no_precision_raises(self):
         # GH-24753, GH-24739