Modify test cases.

Fix index for datetime64 conversion

This PR fixes index for datetime64 conversion. Also,
update tests - pandas/pandas/tests/tests_convert_to.py

Fixes pandas-dev#13937

Author: amolkahat

doc/source/whatsnew/v0.20.0.txt

@@ -590,99 +590,57 @@ Bug Fixes
 - Bug in ``DataFrame.loc`` with indexing a ``MultiIndex`` with a ``Series`` indexer (:issue:`14730`, :issue:`15424`)
 - Bug in ``DataFrame.loc`` with indexing a ``MultiIndex`` with a numpy array (:issue:`15434`)
 - Bug in ``Rolling.quantile`` function that caused a segmentation fault when called with a quantile value outside of the range [0, 1] (:issue:`15463`)
-
-
 - Bug in the display of ``.info()`` where a qualifier (+) would always be displayed with a ``MultiIndex`` that contains only non-strings (:issue:`15245`)
 - Bug in ``pd.read_msgpack()`` in which ``Series`` categoricals were being improperly processed (:issue:`14901`)
 - Bug in ``Series.ffill()`` with mixed dtypes containing tz-aware datetimes. (:issue:`14956`)
-
-
-
 - Bug in ``Series.where()`` and ``DataFrame.where()`` where array-like conditionals were being rejected (:issue:`15414`)
 - Bug in ``Series`` construction with a datetimetz (:issue:`14928`)
 - Bug in output formatting of a ``MultiIndex`` when names are integers (:issue:`12223`, :issue:`15262`)
-
 - Bug in compat for passing long integers to ``Timestamp.replace`` (:issue:`15030`)
 - Bug in ``.loc`` that would not return the correct dtype for scalar access for a DataFrame (:issue:`11617`)
 - Bug in ``GroupBy.get_group()`` failing with a categorical grouper (:issue:`15155`)
 - Bug in ``pandas.tools.utils.cartesian_product()`` with large input can cause overflow on windows (:issue:`15265`)
-
-
-
 - Bug in ``.groupby(...).rolling(...)`` when ``on`` is specified and using a ``DatetimeIndex`` (:issue:`15130`)
-
-
 - Bug in ``to_sql`` when writing a DataFrame with numeric index names (:issue:`15404`).
 - Bug in ``Series.iloc`` where a ``Categorical`` object for list-like indexes input was returned, where a ``Series`` was expected. (:issue:`14580`)
-
-
-
 - Bug in  groupby operations with timedelta64 when passing ``numeric_only=False`` (:issue:`5724`)
-
-
 - Bug in ``DataFrame.to_html`` with ``index=False`` and ``max_rows`` raising in ``IndexError`` (:issue:`14998`)
-
 - Bug in ``Categorical.searchsorted()`` where alphabetical instead of the provided categorical order was used (:issue:`14522`)
-
-
-
 - Bug in ``resample``, where a non-string ```loffset`` argument would not be applied when resampling a timeseries (:issue:`13218`)
-
-
-
 - Bug in ``.rank()`` which incorrectly ranks ordered categories (:issue:`15420`)
 - Bug in ``.corr()`` and ``.cov()`` where the column and index were the same object (:issue:`14617`)
-
-
 - Require at least 0.23 version of cython to avoid problems with character encodings (:issue:`14699`)
 - Bug in ``pd.pivot_table()`` where no error was raised when values argument was not in the columns (:issue:`14938`)
-
 - Bug in ``.to_json()`` where ``lines=True`` and contents (keys or values) contain escaped characters (:issue:`15096`)
 - Bug in ``.to_json()`` causing single byte ascii characters to be expanded to four byte unicode (:issue:`15344`)
 - Bug in ``.read_json()`` for Python 2 where ``lines=True`` and contents contain non-ascii unicode characters (:issue:`15132`)
 - Bug in ``.rolling/expanding()`` functions where ``count()`` was not counting ``np.Inf``, nor handling ``object`` dtypes (:issue:`12541`)
 - Bug in ``.rolling()`` where ``pd.Timedelta`` or ``datetime.timedelta`` was not accepted as a ``window`` argument (:issue:`15440`)
 - Bug in ``DataFrame.resample().median()`` if duplicate column names are present (:issue:`14233`)
-
 - Bug in ``DataFrame.groupby().describe()`` when grouping on ``Index`` containing tuples (:issue:`14848`)
 - Bug in creating a ``MultiIndex`` with tuples and not passing a list of names; this will now raise ``ValueError`` (:issue:`15110`)
 - Bug in ``groupby().nunique()`` with a datetimelike-grouper where bins counts were incorrect (:issue:`13453`)
-
 - Bug in catching an overflow in ``Timestamp`` + ``Timedelta/Offset`` operations (:issue:`15126`)
 - Bug in the HTML display with with a ``MultiIndex`` and truncation (:issue:`14882`)
-
-
 - Bug in ``pd.merge_asof()`` where ``left_index``/``right_index`` together caused a failure when ``tolerance`` was specified (:issue:`15135`)
-
-
-
-
-
 - Bug in ``Series`` constructor when both ``copy=True`` and ``dtype`` arguments are provided (:issue:`15125`)
 - Bug in ``pd.read_csv()`` for the C engine where ``usecols`` were being indexed incorrectly with ``parse_dates`` (:issue:`14792`)
 - Incorrect dtyped ``Series`` was returned by comparison methods (e.g., ``lt``, ``gt``, ...) against a constant for an empty ``DataFrame`` (:issue:`15077`)
 - Bug in ``Series.dt.round`` inconsistent behaviour on NAT's with different arguments (:issue:`14940`)
 - Bug in ``DataFrame.fillna()`` where the argument ``downcast`` was ignored when fillna value was of type ``dict`` (:issue:`15277`)
 - Bug in ``.reset_index()`` when an all ``NaN`` level of a ``MultiIndex`` would fail (:issue:`6322`)
-
 - Bug in ``pd.read_msgpack()`` when deserializing a ``CategoricalIndex`` (:issue:`15487`)
 - Bug in ``pd.DataFrame.to_records()`` which failed with unicode characters in column names (:issue:`11879`)
-
-
 - Bug in ``pd.read_csv()`` with ``float_precision='round_trip'`` which caused a segfault when a text entry is parsed (:issue:`15140`)
-
 - Bug in ``DataFrame.to_stata()`` and ``StataWriter`` which produces incorrectly formatted files to be produced for some locales (:issue:`13856`)
 - Bug in ``pd.concat()`` in which concatting with an empty dataframe with ``join='inner'`` was being improperly handled (:issue:`15328`)
 - Bug in ``groupby.agg()`` incorrectly localizing timezone on ``datetime`` (:issue:`15426`, :issue:`10668`, :issue:`13046`)
-
-
-
 - Bug in ``.read_csv()`` with ``parse_dates`` when multiline headers are specified (:issue:`15376`)
 - Bug in ``groupby.transform()`` that would coerce the resultant dtypes back to the original (:issue:`10972`, :issue:`11444`)
-
 - Bug in ``DataFrame.hist`` where ``plt.tight_layout`` caused an ``AttributeError``  (use ``matplotlib >= 0.2.0``) (:issue:`9351`)
 - Bug in ``DataFrame.boxplot`` where ``fontsize`` was not applied to the tick labels on both axes (:issue:`15108`)
 - Bug in ``Series.replace`` and ``DataFrame.replace`` which failed on empty replacement dicts (:issue:`15289`)
 - Bug in ``pd.melt()`` where passing a tuple value for ``value_vars`` caused a ``TypeError`` (:issue:`15348`)
 - Bug in ``.eval()`` which caused multiline evals to fail with local variables not on the first line (:issue:`15342`)
 - Bug in ``pd.read_msgpack`` which did not allow to load dataframe with an index of type ``CategoricalIndex`` (:issue:`15487`)
+- Bug in ``DataFrame.to_records()`` with converting datetime64 index with timezone (:issue: `13937`)

pandas/core/frame.py

@@ -36,7 +36,7 @@
                                  is_object_dtype,
                                  is_extension_type,
                                  is_datetimetz,
-                                 is_datetime64_dtype,
+                                 is_datetime64_any_dtype,
                                  is_datetime64tz_dtype,
                                  is_bool_dtype,
                                  is_integer_dtype,
@@ -1086,7 +1086,7 @@ def to_records(self, index=True, convert_datetime64=True):
         y : recarray
         """
         if index:
-            if is_datetime64_dtype(self.index) and convert_datetime64:
+            if is_datetime64_any_dtype(self.index) and convert_datetime64:
                 ix_vals = [self.index.to_pydatetime()]
             else:
                 if isinstance(self.index, MultiIndex):

pandas/tests/frame/test_convert_to.py

@@ -2,15 +2,11 @@
 
 from __future__ import print_function
 
-from numpy import nan
 import numpy as np
-
-from pandas import compat
-from pandas import (DataFrame, Series, MultiIndex, Timestamp,
-                    date_range)
+from numpy import nan
 
 import pandas.util.testing as tm
-
+from pandas import DataFrame, MultiIndex, Series, Timestamp, compat, date_range
 from pandas.tests.frame.common import TestData
 
 
@@ -192,3 +188,43 @@ def test_to_records_with_unicode_column_names(self):
                    "formats": ['<i8', '<f8']}
         )
         tm.assert_almost_equal(result, expected)
+
+    def test_to_records_with_tz(self):
+        # GH13937
+        date_range_tz_utc = date_range('2016-01-01', periods=10,
+                                       freq='S', tz='UTC')
+        date_range_tz_gmt = date_range('2016-01-01', periods=10,
+                                       freq='S', tz='GMT')
+
+        df_utc = DataFrame({'datetime': date_range_tz_utc},
+                           index=date_range_tz_utc)
+        df_gmt = DataFrame({'datetime': date_range_tz_gmt},
+                           index=date_range_tz_gmt)
+
+        df_utc_expected = df_utc.to_records()
+        df_gmt_result = df_utc.tz_convert("GMT").to_records()
+
+        df_gmt_expected = df_gmt.to_records()
+        df_utc_result = df_gmt.tz_convert("UTC").to_records()
+
+        # Check that it does not shows same time zone after conversion.
+        tm.assertIsNot(df_utc_expected.index[0].tzinfo,
+                       df_gmt_result.index[0].tzinfo)
+
+        # Check df.to_records() are generated properly
+        tm.assert_numpy_array_equal(df_utc_expected,
+                                    df_gmt_result)
+
+        # Test DataFrame.to_records() with timezone conversion to UTC
+
+        expected = df_utc_expected['datetime']
+
+        result = df_gmt_result['datetime']
+
+        tm.assert_numpy_array_equal(expected, result)
+
+        tm.assertIsNot(df_gmt_expected.index[0].tzinfo,
+                       df_utc_result.index[0].tzinfo)
+
+        tm.assert_numpy_array_equal(df_utc_expected,
+                                    df_gmt_result)