From 1da008a6945407463d8427abe4e1012da80ceceb Mon Sep 17 00:00:00 2001
From: Paul Reidy <paul_reidy@outlook.com>
Date: Fri, 5 Jan 2018 16:50:23 +0000
Subject: [PATCH 1/3] BUG: show time values in repr of high precision
 DatetimeIndex

---
 doc/source/whatsnew/v0.23.0.txt        |  3 ++-
 pandas/io/formats/format.py            |  2 +-
 pandas/tests/io/formats/test_format.py | 28 ++++++++++++++++++++++++++
 3 files changed, 31 insertions(+), 2 deletions(-)

diff --git a/doc/source/whatsnew/v0.23.0.txt b/doc/source/whatsnew/v0.23.0.txt
index b1efd0dcb43e2..46ff6bc97c449 100644
--- a/doc/source/whatsnew/v0.23.0.txt
+++ b/doc/source/whatsnew/v0.23.0.txt
@@ -375,7 +375,8 @@ Conversion
 - Bug in :class:`TimedeltaIndex` where division by a ``Series`` would return a ``TimedeltaIndex`` instead of a ``Series`` (issue:`19042`)
 - Bug in :class:`Series` with ``dtype='timedelta64[ns]`` where addition or subtraction of ``TimedeltaIndex`` could return a ``Series`` with an incorrect name (issue:`19043`)
 - Fixed bug where comparing :class:`DatetimeIndex` failed to raise ``TypeError`` when attempting to compare timezone-aware and timezone-naive datetimelike objects (:issue:`18162`)
--
+- Bug in :class:`DatetimeIndex` where the repr was not showing the time values for the end of the day (:issue:`19030`)
+
 
 Indexing
 ^^^^^^^^
diff --git a/pandas/io/formats/format.py b/pandas/io/formats/format.py
index a4678e5b40849..886a887568d69 100644
--- a/pandas/io/formats/format.py
+++ b/pandas/io/formats/format.py
@@ -2188,7 +2188,7 @@ def _is_dates_only(values):
     consider_values = values_int != iNaT
     one_day_nanos = (86400 * 1e9)
     even_days = np.logical_and(consider_values,
-                               values_int % one_day_nanos != 0).sum() == 0
+                               values_int % int(one_day_nanos) != 0).sum() == 0
     if even_days:
         return True
     return False
diff --git a/pandas/tests/io/formats/test_format.py b/pandas/tests/io/formats/test_format.py
index 23b42b612dace..f89dd4380adaf 100644
--- a/pandas/tests/io/formats/test_format.py
+++ b/pandas/tests/io/formats/test_format.py
@@ -883,6 +883,20 @@ def test_datetimelike_frame(self):
                         '[10 rows x 2 columns]')
             assert repr(df) == expected
 
+    def test_datetimeindex_highprecision(self):
+        # GH19030
+        # Check that time values for the end of day are included in repr
+        df = DataFrame({'A': date_range(start='2017-01-01 23:59:59.999999999',
+                                        freq='D', periods=5)})
+        result = str(df)
+        assert "23:59:59.999999999" in result
+
+        dti = date_range(start='2017-01-01 23:59:59.999999999',
+                         freq='D', periods=5)
+        df = DataFrame({'A': range(5)}, index=dti)
+        result = str(df.index)
+        assert "23:59:59.999999999" in result
+
     def test_nonunicode_nonascii_alignment(self):
         df = DataFrame([["aa\xc3\xa4\xc3\xa4", 1], ["bbbb", 2]])
         rep_str = df.to_string()
@@ -1914,6 +1928,20 @@ def test_datetimeindex(self):
         result = str(s2.index)
         assert 'NaT' in result
 
+    def test_datetimeindex_highprecision(self):
+        # GH19030
+        # Check that time values for the end of day are included in repr
+        s1 = Series(date_range(start='2017-01-01 23:59:59.999999999',
+                               freq='D', periods=5))
+        result = str(s1)
+        assert "23:59:59.999999999" in result
+
+        dti = date_range(start='2017-01-01 23:59:59.999999999', freq='D',
+                         periods=5)
+        s2 = Series(3, index=dti)
+        result = str(s2.index)
+        assert "23:59:59.999999999" in result
+
     def test_timedelta64(self):
 
         from datetime import datetime, timedelta

From 055e0acc9b6e6881c7869225d443b423b6c2ce91 Mon Sep 17 00:00:00 2001
From: Paul Reidy <paul_reidy@outlook.com>
Date: Sun, 7 Jan 2018 12:24:09 +0000
Subject: [PATCH 2/3] clarify whatsnew and parametrize tests

---
 doc/source/whatsnew/v0.23.0.txt        |  2 +-
 pandas/tests/io/formats/test_format.py | 45 ++++++++++++++++++--------
 2 files changed, 32 insertions(+), 15 deletions(-)

diff --git a/doc/source/whatsnew/v0.23.0.txt b/doc/source/whatsnew/v0.23.0.txt
index 46ff6bc97c449..ebb9e5ad41a77 100644
--- a/doc/source/whatsnew/v0.23.0.txt
+++ b/doc/source/whatsnew/v0.23.0.txt
@@ -375,7 +375,7 @@ Conversion
 - Bug in :class:`TimedeltaIndex` where division by a ``Series`` would return a ``TimedeltaIndex`` instead of a ``Series`` (issue:`19042`)
 - Bug in :class:`Series` with ``dtype='timedelta64[ns]`` where addition or subtraction of ``TimedeltaIndex`` could return a ``Series`` with an incorrect name (issue:`19043`)
 - Fixed bug where comparing :class:`DatetimeIndex` failed to raise ``TypeError`` when attempting to compare timezone-aware and timezone-naive datetimelike objects (:issue:`18162`)
-- Bug in :class:`DatetimeIndex` where the repr was not showing the time values for the end of the day (:issue:`19030`)
+- Bug in :class:`DatetimeIndex` where the repr was not showing high-precision time values at the end of a day (e.g., 23:59:59.999999999) (:issue:`19030`)
 
 
 Indexing
diff --git a/pandas/tests/io/formats/test_format.py b/pandas/tests/io/formats/test_format.py
index f89dd4380adaf..77d6e0fefbda6 100644
--- a/pandas/tests/io/formats/test_format.py
+++ b/pandas/tests/io/formats/test_format.py
@@ -883,19 +883,29 @@ def test_datetimelike_frame(self):
                         '[10 rows x 2 columns]')
             assert repr(df) == expected
 
-    def test_datetimeindex_highprecision(self):
+
+    @pytest.mark.parametrize('start_date', [
+     '2017-01-01 23:59:59.999999999',
+     '2017-01-01 23:59:59.99999999',
+     '2017-01-01 23:59:59.9999999',
+     '2017-01-01 23:59:59.999999',
+     '2017-01-01 23:59:59.99999',
+     '2017-01-01 23:59:59.9999',
+    ])
+    def test_datetimeindex_highprecision(self, start_date):
         # GH19030
-        # Check that time values for the end of day are included in repr
-        df = DataFrame({'A': date_range(start='2017-01-01 23:59:59.999999999',
+        # Check that high-precision time values for the end of day are
+        # included in repr for DatetimeIndex
+        df = DataFrame({'A': date_range(start=start_date,
                                         freq='D', periods=5)})
         result = str(df)
-        assert "23:59:59.999999999" in result
+        assert start_date in result
 
-        dti = date_range(start='2017-01-01 23:59:59.999999999',
+        dti = date_range(start=start_date,
                          freq='D', periods=5)
         df = DataFrame({'A': range(5)}, index=dti)
         result = str(df.index)
-        assert "23:59:59.999999999" in result
+        assert start_date in result
 
     def test_nonunicode_nonascii_alignment(self):
         df = DataFrame([["aa\xc3\xa4\xc3\xa4", 1], ["bbbb", 2]])
@@ -1928,19 +1938,26 @@ def test_datetimeindex(self):
         result = str(s2.index)
         assert 'NaT' in result
 
-    def test_datetimeindex_highprecision(self):
+    @pytest.mark.parametrize('start_date', [
+     '2017-01-01 23:59:59.999999999',
+     '2017-01-01 23:59:59.99999999',
+     '2017-01-01 23:59:59.9999999',
+     '2017-01-01 23:59:59.999999',
+     '2017-01-01 23:59:59.99999',
+     '2017-01-01 23:59:59.9999',
+    ])
+    def test_datetimeindex_highprecision(self, start_date):
         # GH19030
-        # Check that time values for the end of day are included in repr
-        s1 = Series(date_range(start='2017-01-01 23:59:59.999999999',
-                               freq='D', periods=5))
+        # Check that high-precision time values for the end of day are
+        # included in repr for DatetimeIndex
+        s1 = Series(date_range(start=start_date, freq='D', periods=5))
         result = str(s1)
-        assert "23:59:59.999999999" in result
+        assert start_date in result
 
-        dti = date_range(start='2017-01-01 23:59:59.999999999', freq='D',
-                         periods=5)
+        dti = date_range(start=start_date, freq='D', periods=5)
         s2 = Series(3, index=dti)
         result = str(s2.index)
-        assert "23:59:59.999999999" in result
+        assert start_date in result
 
     def test_timedelta64(self):
 

From aaa1f0ce5a52f1dac4f7aec12bbe8536a627f9b1 Mon Sep 17 00:00:00 2001
From: Paul Reidy <paul_reidy@outlook.com>
Date: Sun, 7 Jan 2018 12:37:35 +0000
Subject: [PATCH 3/3] pep8

---
 pandas/tests/io/formats/test_format.py | 25 ++++++++++++-------------
 1 file changed, 12 insertions(+), 13 deletions(-)

diff --git a/pandas/tests/io/formats/test_format.py b/pandas/tests/io/formats/test_format.py
index 77d6e0fefbda6..b277d8256e612 100644
--- a/pandas/tests/io/formats/test_format.py
+++ b/pandas/tests/io/formats/test_format.py
@@ -883,14 +883,13 @@ def test_datetimelike_frame(self):
                         '[10 rows x 2 columns]')
             assert repr(df) == expected
 
-
     @pytest.mark.parametrize('start_date', [
-     '2017-01-01 23:59:59.999999999',
-     '2017-01-01 23:59:59.99999999',
-     '2017-01-01 23:59:59.9999999',
-     '2017-01-01 23:59:59.999999',
-     '2017-01-01 23:59:59.99999',
-     '2017-01-01 23:59:59.9999',
+        '2017-01-01 23:59:59.999999999',
+        '2017-01-01 23:59:59.99999999',
+        '2017-01-01 23:59:59.9999999',
+        '2017-01-01 23:59:59.999999',
+        '2017-01-01 23:59:59.99999',
+        '2017-01-01 23:59:59.9999',
     ])
     def test_datetimeindex_highprecision(self, start_date):
         # GH19030
@@ -1939,12 +1938,12 @@ def test_datetimeindex(self):
         assert 'NaT' in result
 
     @pytest.mark.parametrize('start_date', [
-     '2017-01-01 23:59:59.999999999',
-     '2017-01-01 23:59:59.99999999',
-     '2017-01-01 23:59:59.9999999',
-     '2017-01-01 23:59:59.999999',
-     '2017-01-01 23:59:59.99999',
-     '2017-01-01 23:59:59.9999',
+        '2017-01-01 23:59:59.999999999',
+        '2017-01-01 23:59:59.99999999',
+        '2017-01-01 23:59:59.9999999',
+        '2017-01-01 23:59:59.999999',
+        '2017-01-01 23:59:59.99999',
+        '2017-01-01 23:59:59.9999'
     ])
     def test_datetimeindex_highprecision(self, start_date):
         # GH19030