matplotlib
diff --git a/‎lib/matplotlib/category.py‎
Lines changed: 8 additions & 4 deletions b/‎lib/matplotlib/category.py‎
Lines changed: 8 additions & 4 deletions
diff --git a/‎lib/matplotlib/tests/test_category.py‎
Lines changed: 1 addition & 4 deletions b/‎lib/matplotlib/tests/test_category.py‎
Lines changed: 1 addition & 4 deletions
@@ -14,6 +14,7 @@
 from collections import OrderedDict
 import dateutil.parser
 import itertools
+import logging
 
 import numpy as np
 
@@ -22,6 +23,9 @@
 import matplotlib.ticker as ticker
 
 
+_log = logging.getLogger(__name__)
+
+
 class StrCategoryConverter(units.ConversionInterface):
     @staticmethod
     def convert(value, unit, axis):
@@ -216,10 +220,10 @@ def update(self, data):
                 self._mapping[val] = next(self._counter)
         # check if we can convert all strings to number or date...
         if self._strs_are_convertible(data):
-            cbook._warn_external('using category units to plot a list of '
-                          'strings that is a;; floats or parsable as dates. '
-                          'If you do not mean these to be categories, cast '
-                          'to the approriate data type before plotting.')
+            _log.info('using category units to plot a list of '
+                      'strings that is a;; floats or parsable as dates. '
+                      'If you do not mean these to be categories, cast '
+                      'to the approriate data type before plotting.')
 
 
 # Register the converter with Matplotlib's unit framework
 
@@ -203,8 +203,7 @@ class TestPlotNumlike(object):
     @pytest.mark.parametrize("ndata", numlike_data, ids=numlike_ids)
     def test_plot_numlike(self, ax, plotter, ndata):
         counts = np.array([4, 6, 5])
-        with pytest.warns(UserWarning, match='using category units to plot'):
-            plotter(ax, ndata, counts)
+        plotter(ax, ndata, counts)
         axis_test(ax.xaxis, ndata)
 
 
@@ -262,14 +261,12 @@ def test_update_plot(self, ax, plotter):
 
     PLOT_BROKEN_IDS = ["scatter", "plot", "bar"]
 
-    @pytest.mark.filterwarnings('ignore::UserWarning')
     @pytest.mark.parametrize("plotter", PLOT_BROKEN_LIST, ids=PLOT_BROKEN_IDS)
     @pytest.mark.parametrize("xdata", fvalues, ids=fids)
     def test_mixed_type_exception(self, ax, plotter, xdata):
         with pytest.raises(TypeError):
             plotter(ax, xdata, [1, 2])
 
-    @pytest.mark.filterwarnings('ignore::UserWarning')
     @pytest.mark.parametrize("plotter", PLOT_BROKEN_LIST, ids=PLOT_BROKEN_IDS)
     @pytest.mark.parametrize("xdata", fvalues, ids=fids)
     def test_mixed_type_update_exception(self, ax, plotter, xdata):