BUG: Repeated time-series plot causes memory leak

Author: sinhrks

doc/source/whatsnew/v0.17.0.txt

@@ -60,19 +60,29 @@ Performance Improvements
 Bug Fixes
 ~~~~~~~~~
 
+
 - Bug in ``Categorical`` repr with ``display.width`` of ``None`` in Python 3 (:issue:`10087`)
 
 
+<<<<<<< HEAD
 - Bug where Panel.from_dict does not set dtype when specified (:issue:`10058`)
+=======
+- Bug in time-series plot causes memory leak (:issue:`9003`)
+
+
+>>>>>>> BUG: Repeated time-series plot causes memory leak
 - Bug in ``Timestamp``'s' ``microsecond``, ``quarter``, ``dayofyear``, ``week`` and ``daysinmonth`` properties return ``np.int`` type, not built-in ``int``. (:issue:`10050`)
 - Bug in ``NaT`` raises ``AttributeError`` when accessing to ``daysinmonth``, ``dayofweek`` properties. (:issue:`10096`)
 
+
 - Bug in getting timezone data with ``dateutil`` on various platforms ( :issue:`9059`, :issue:`8639`, :issue:`9663`, :issue:`10121`)
 
 
 
+
 - Bug in ``DatetimeIndex`` and ``TimedeltaIndex`` names are lost after timedelta arithmetics ( :issue:`9926`)
 
 - Bug in `Series.plot(label="LABEL")` not correctly setting the label (:issue:`10119`)
 
 
+

pandas/tests/test_graphics.py

@@ -3425,6 +3425,35 @@ def test_sharey_and_ax(self):
             self.assertTrue(ax.yaxis.get_label().get_visible(),
                              "y label is invisible but shouldn't")
 
+    def test_memory_leak(self):
+        """ Check that every plot type gets properly collected. """
+        import weakref
+        import gc
+
+        results = {}
+        for kind in plotting._plot_klass.keys():
+            args = {}
+            if kind in ['hexbin', 'scatter', 'pie']:
+                df = self.hexbin_df
+                args = {'x': 'A', 'y': 'B'}
+            elif kind == 'area':
+                df = self.tdf.abs()
+            else:
+                df = self.tdf
+
+            # Use a weakref so we can see if the object gets collected without
+            # also preventing it from being collected
+            results[kind] = weakref.proxy(df.plot(kind=kind, **args))
+
+        # have matplotlib delete all the figures
+        tm.close()
+        # force a garbage collection
+        gc.collect()
+        for key in results:
+            # check that every plot was collected
+            with tm.assertRaises(ReferenceError):
+                # need to actually access something to get an error
+                results[key].lines
 
 
 @tm.mplskip