updates

doc/source/whatsnew/v0.24.0.txt

@@ -1120,6 +1120,7 @@ Datetimelike
 - Bug in rounding methods of :class:`DatetimeIndex` (:meth:`~DatetimeIndex.round`, :meth:`~DatetimeIndex.ceil`, :meth:`~DatetimeIndex.floor`) and :class:`Timestamp` (:meth:`~Timestamp.round`, :meth:`~Timestamp.ceil`, :meth:`~Timestamp.floor`) could give rise to loss of precision (:issue:`22591`)
 - Bug in :func:`to_datetime` with an :class:`Index` argument that would drop the ``name`` from the result (:issue:`21697`)
 - Bug in :class:`PeriodIndex` where adding or subtracting a :class:`timedelta` or :class:`Tick` object produced incorrect results (:issue:`22988`)
+- Bug in the :class:`Series` repr with Period data missing a space before the data (:issue:`23601`)
 - Bug in :func:`date_range` when decrementing a start date to a past end date by a negative frequency (:issue:`23270`)
 - Bug in :meth:`Series.min` which would return ``NaN`` instead of ``NaT`` when called on a series of ``NaT`` (:issue:`23282`)
 - Bug in :func:`DataFrame.combine` with datetimelike values raising a TypeError (:issue:`23079`)

pandas/core/arrays/period.py

@@ -332,7 +332,7 @@ def end_time(self):
 
     def _formatter(self, formatter=None):
         if formatter:
-            return str
+            return formatter.formatter or str
         return "'{}'".format
 
     def __setitem__(

pandas/core/arrays/sparse.py

@@ -1661,6 +1661,16 @@ def __unicode__(self):
             fill=printing.pprint_thing(self.fill_value),
             index=printing.pprint_thing(self.sp_index))
 
+    def _formatter(self, formatter=None):
+        if formatter is None:
+            def fmt(x):
+                if isna(x) and isinstance(x, float):
+                    return 'NaN'
+                return str(x)
+
+            return fmt
+        return formatter.formatter
+
 
 SparseArray._add_arithmetic_ops()
 SparseArray._add_comparison_ops()

pandas/tests/series/test_repr.py

@@ -364,11 +364,11 @@ def test_categorical_series_repr_datetime_ordered(self):
     def test_categorical_series_repr_period(self):
         idx = period_range('2011-01-01 09:00', freq='H', periods=5)
         s = Series(Categorical(idx))
-        exp = """0   2011-01-01 09:00
-1   2011-01-01 10:00
-2   2011-01-01 11:00
-3   2011-01-01 12:00
-4   2011-01-01 13:00
+        exp = """0    2011-01-01 09:00
+1    2011-01-01 10:00
+2    2011-01-01 11:00
+3    2011-01-01 12:00
+4    2011-01-01 13:00
 dtype: category
 Categories (5, period[H]): [2011-01-01 09:00, 2011-01-01 10:00, 2011-01-01 11:00, 2011-01-01 12:00,
                             2011-01-01 13:00]"""  # noqa
@@ -377,11 +377,11 @@ def test_categorical_series_repr_period(self):
 
         idx = period_range('2011-01', freq='M', periods=5)
         s = Series(Categorical(idx))
-        exp = """0   2011-01
-1   2011-02
-2   2011-03
-3   2011-04
-4   2011-05
+        exp = """0    2011-01
+1    2011-02
+2    2011-03
+3    2011-04
+4    2011-05
 dtype: category
 Categories (5, period[M]): [2011-01, 2011-02, 2011-03, 2011-04, 2011-05]"""
 
@@ -390,11 +390,11 @@ def test_categorical_series_repr_period(self):
     def test_categorical_series_repr_period_ordered(self):
         idx = period_range('2011-01-01 09:00', freq='H', periods=5)
         s = Series(Categorical(idx, ordered=True))
-        exp = """0   2011-01-01 09:00
-1   2011-01-01 10:00
-2   2011-01-01 11:00
-3   2011-01-01 12:00
-4   2011-01-01 13:00
+        exp = """0    2011-01-01 09:00
+1    2011-01-01 10:00
+2    2011-01-01 11:00
+3    2011-01-01 12:00
+4    2011-01-01 13:00
 dtype: category
 Categories (5, period[H]): [2011-01-01 09:00 < 2011-01-01 10:00 < 2011-01-01 11:00 < 2011-01-01 12:00 <
                             2011-01-01 13:00]"""  # noqa
@@ -403,11 +403,11 @@ def test_categorical_series_repr_period_ordered(self):
 
         idx = period_range('2011-01', freq='M', periods=5)
         s = Series(Categorical(idx, ordered=True))
-        exp = """0   2011-01
-1   2011-02
-2   2011-03
-3   2011-04
-4   2011-05
+        exp = """0    2011-01
+1    2011-02
+2    2011-03
+3    2011-04
+4    2011-05
 dtype: category
 Categories (5, period[M]): [2011-01 < 2011-02 < 2011-03 < 2011-04 < 2011-05]"""