Don't fail tests on harmless changes to dependencies

Ignore deprecation warnings added in
Python 3.8, matplotlib 3.2, jedi 0.16/0.17
(one jedi deprecation appears to come from IPython because it uses stacklevel=2)

Don't assert that matplotlib rejects shorthand hex colors,
as from 3.2 it accepts them:
https://matplotlib.org/users/prev_whats_new/whats_new_3.2.0.html#digit-and-4-digit-hex-colors

Ignore change to date axis default range/ticks

Author: Rebecca N. Palmer <[email protected]>
Forwarded: no


Gbp-Pq: Name ignore_matplotlib_warning.patch

Author: Debian Science Team

pandas/tests/plotting/test_datetimelike.py

@@ -1520,11 +1520,7 @@ def test_matplotlib_scatter_datetime64(self):
         ax.scatter(x="time", y="y", data=df)
         self.plt.draw()
         label = ax.get_xticklabels()[0]
-        if self.mpl_ge_3_0_0:
-            expected = "2017-12-08"
-        else:
-            expected = "2017-12-12"
-        assert label.get_text() == expected
+        assert label.get_text() in ["2018-01-01","2017-12-08","2017-12-12"] # matplotlib version dependent
 
 
 def _check_plot_works(f, freq=None, series=None, *args, **kwargs):

pandas/tests/plotting/test_frame.py

@@ -1989,12 +1989,6 @@ def test_line_colors(self):
         self._check_colors(ax.get_lines(), linecolors=custom_colors)
         tm.close()
 
-        with pytest.raises(ValueError):
-            # Color contains shorthand hex value results in ValueError
-            custom_colors = ["#F00", "#00F", "#FF0", "#000", "#FFF"]
-            # Forced show plot
-            _check_plot_works(df.plot, color=custom_colors)
-
     @pytest.mark.slow
     def test_dont_modify_colors(self):
         colors = ["r", "g", "b"]
@@ -2046,14 +2040,6 @@ def test_line_colors_and_styles_subplots(self):
             self._check_colors(ax.get_lines(), linecolors=[c])
         tm.close()
 
-        with pytest.raises(ValueError):
-            # Color contains shorthand hex value results in ValueError
-            custom_colors = ["#F00", "#00F", "#FF0", "#000", "#FFF"]
-            # Forced show plot
-            # _check_plot_works adds an ax so catch warning. see GH #13188
-            with tm.assert_produces_warning(UserWarning):
-                _check_plot_works(df.plot, color=custom_colors, subplots=True)
-
         rgba_colors = [cm.jet(n) for n in np.linspace(0, 1, len(df))]
         for cmap in ["jet", cm.jet]:
             axes = df.plot(colormap=cmap, subplots=True)

pandas/util/testing.py

@@ -15,7 +15,10 @@
 from typing import Union, cast
 import warnings
 import zipfile
-
+try:
+    from matplotlib.cbook import MatplotlibDeprecationWarning
+except ImportError:
+    MatplotlibDeprecationWarning = None
 import numpy as np
 from numpy.random import rand, randn
 
@@ -2695,6 +2698,12 @@ class for all warnings. To check that no warning is returned,
             else:
                 if actual_warning.category==UserWarning and "Non-x86 system detected" in str(actual_warning.message) and not bool(re.match('i.?86|x86',platform.uname()[4])):
                     continue
+                if actual_warning.category==DeprecationWarning and "PY_SSIZE_T_CLEAN will be required for '#' formats" in str(actual_warning.message) and 'matplotlib' in actual_warning.filename:
+                    continue
+                if actual_warning.category==MatplotlibDeprecationWarning and "deprecated in Matplotlib 3.2" in str(actual_warning.message) and 'matplotlib' in actual_warning.filename:
+                    continue
+                if actual_warning.category==DeprecationWarning and ('jedi' in actual_warning.filename or 'IPython' in actual_warning.filename):
+                    continue
                 extra_warnings.append(
                     (
                         actual_warning.category.__name__,