cache and remove boxing (#14931)

(cherry picked from commit 4c3d4d4fbb)

asv_bench/benchmarks/period.py

@@ -47,3 +47,28 @@ class period_algorithm(object):
         self.i.value_counts()
 
 
+class period_standard_indexing(object):
+    goal_time = 0.2
+
+    def setup(self):
+        self.index = PeriodIndex(start='1985', periods=1000, freq='D')
+        self.series = Series(range(1000), index=self.index)
+        self.period = self.index[500]
+
+    def time_get_loc(self):
+        self.index.get_loc(self.period)
+
+    def time_shape(self):
+        self.index.shape
+
+    def time_shallow_copy(self):
+        self.index._shallow_copy()
+
+    def time_series_loc(self):
+        self.series.loc[self.period]
+
+    def time_align(self):
+        pd.DataFrame({'a': self.series, 'b': self.series[:500]})
+
+    def time_intersection(self):
+        self.index[:750].intersection(self.index[250:])

doc/source/whatsnew/v0.19.2.txt

@@ -22,6 +22,7 @@ Performance Improvements
 ~~~~~~~~~~~~~~~~~~~~~~~~
 
 - Improved performance of ``.replace()`` (:issue:`12745`)
+- Improved performance of ``PeriodIndex`` (:issue:`14822`)
 - Improved performance ``Series`` creation with a datetime index and dictionary data (:issue:`14894`)
 
 

pandas/core/base.py

@@ -814,7 +814,7 @@ class IndexOpsMixin(object):
     @property
     def shape(self):
         """ return a tuple of the shape of the underlying data """
-        return self.values.shape
+        return self._values.shape
 
     @property
     def ndim(self):
@@ -842,22 +842,22 @@ class IndexOpsMixin(object):
     @property
     def itemsize(self):
         """ return the size of the dtype of the item of the underlying data """
-        return self.values.itemsize
+        return self._values.itemsize
 
     @property
     def nbytes(self):
         """ return the number of bytes in the underlying data """
-        return self.values.nbytes
+        return self._values.nbytes
 
     @property
     def strides(self):
         """ return the strides of the underlying data """
-        return self.values.strides
+        return self._values.strides
 
     @property
     def size(self):
         """ return the number of elements in the underlying data """
-        return self.values.size
+        return self._values.size
 
     @property
     def flags(self):

pandas/tseries/period.py

@@ -64,6 +64,7 @@ def dt64arr_to_periodarr(data, freq, tz):
 
 # --- Period index sketch
 
+
 _DIFFERENT_FREQ_INDEX = period._DIFFERENT_FREQ_INDEX
 
 
@@ -304,7 +305,7 @@ class PeriodIndex(DatelikeOps, DatetimeIndexOpsMixin, Int64Index):
             if (len(values) > 0 and is_float_dtype(values)):
                 raise TypeError("PeriodIndex can't take floats")
             else:
-                return PeriodIndex(values, name=name, freq=freq, **kwargs)
+                return cls(values, name=name, freq=freq, **kwargs)
 
         values = np.array(values, dtype='int64', copy=False)
 
@@ -325,6 +326,8 @@ class PeriodIndex(DatelikeOps, DatetimeIndexOpsMixin, Int64Index):
         if kwargs.get('freq') is None:
             # freq must be provided
             kwargs['freq'] = self.freq
+        if values is None:
+            values = self._values
         return super(PeriodIndex, self)._shallow_copy(values=values, **kwargs)
 
     def _coerce_scalar_to_index(self, item):
@@ -355,9 +358,8 @@ class PeriodIndex(DatelikeOps, DatetimeIndexOpsMixin, Int64Index):
     def asi8(self):
         return self._values.view('i8')
 
-    @property
+    @cache_readonly
     def _int64index(self):
-        # do not cache, same as .asi8
         return Int64Index(self.asi8, name=self.name, fastpath=True)
 
     @property

pandas/tseries/tests/test_period.py

@@ -2101,14 +2101,6 @@ class TestPeriodIndex(tm.TestCase):
         exp = idx.values < idx.values[10]
         self.assert_numpy_array_equal(result, exp)
 
-    def test_getitem_ndim2(self):
-        idx = period_range('2007-01', periods=3, freq='M')
-
-        result = idx[:, None]
-        # MPL kludge, internally has incorrect shape
-        tm.assertIsInstance(result, PeriodIndex)
-        self.assertEqual(result.shape, (len(idx), ))
-
     def test_getitem_index(self):
         idx = period_range('2007-01', periods=10, freq='M', name='x')