COMPAT/TST Matplotlib 2.0 compatability

Author: TomAugspurger

ci/install_travis.sh

@@ -124,7 +124,7 @@ else
     echo "pip installs"
     REQ="ci/requirements-${TRAVIS_PYTHON_VERSION}${JOB_TAG}.pip"
     if [ -e ${REQ} ]; then
-        pip install --upgrade -r $REQ
+        pip install --pre --upgrade -r $REQ
     fi
 
     # remove any installed pandas package

ci/requirements-2.7_SLOW.pip

@@ -0,0 +1 @@
+matplotlib==2.0.0b3

ci/requirements-2.7_SLOW.run

@@ -1,7 +1,6 @@
 python-dateutil
 pytz
 numpy=1.8.2
-matplotlib=1.3.1
 scipy
 patsy
 statsmodels

doc/source/whatsnew/v0.19.0.txt

@@ -427,7 +427,7 @@ Other enhancements
 
 - Added documentation to :ref:`I/O<io.dtypes>` regarding the perils of reading in columns with mixed dtypes and how to handle it (:issue:`13746`)
 - Raise ``ImportError`` in the sql functions when ``sqlalchemy`` is not installed and a connection string is used (:issue:`11920`).
-
+- Compatibility with matplotlib 2.0. Older versions of pandas should also work with matplotlib 2.0 (:issue:`13333`)
 
 .. _whatsnew_0190.api:
 

pandas/tests/plotting/common.py

@@ -52,6 +52,7 @@ def setUp(self):
         self.mpl_ge_1_3_1 = plotting._mpl_ge_1_3_1()
         self.mpl_ge_1_4_0 = plotting._mpl_ge_1_4_0()
         self.mpl_ge_1_5_0 = plotting._mpl_ge_1_5_0()
+        self.mpl_ge_2_0_0 = plotting._mpl_ge_2_0_0()
 
         if self.mpl_ge_1_4_0:
             self.bp_n_objects = 7
@@ -64,6 +65,11 @@ def setUp(self):
         else:
             self.polycollection_factor = 1
 
+        if self.mpl_ge_2_0_0:
+            self.default_figsize = (6.4, 4.8)
+        else:
+            self.default_figsize = (8.0, 6.0)
+        self.default_tick_position = 'left' if self.mpl_ge_2_0_0 else 'default'
         # common test data
         from pandas import read_csv
         path = os.path.join(os.path.dirname(curpath()), 'data', 'iris.csv')
@@ -189,7 +195,9 @@ def _check_colors(self, collections, linecolors=None, facecolors=None,
         """
 
         from matplotlib.lines import Line2D
-        from matplotlib.collections import Collection, PolyCollection
+        from matplotlib.collections import (
+            Collection, PolyCollection, LineCollection
+        )
         conv = self.colorconverter
         if linecolors is not None:
 
@@ -203,7 +211,7 @@ def _check_colors(self, collections, linecolors=None, facecolors=None,
                     result = patch.get_color()
                     # Line2D may contains string color expression
                     result = conv.to_rgba(result)
-                elif isinstance(patch, PolyCollection):
+                elif isinstance(patch, (PolyCollection, LineCollection)):
                     result = tuple(patch.get_edgecolor()[0])
                 else:
                     result = patch.get_edgecolor()
@@ -318,7 +326,7 @@ def _check_ax_scales(self, axes, xaxis='linear', yaxis='linear'):
             self.assertEqual(ax.yaxis.get_scale(), yaxis)
 
     def _check_axes_shape(self, axes, axes_num=None, layout=None,
-                          figsize=(8.0, 6.0)):
+                          figsize=None):
         """
         Check expected number of axes is drawn in expected layout
 
@@ -333,6 +341,8 @@ def _check_axes_shape(self, axes, axes_num=None, layout=None,
         figsize : tuple
             expected figsize. default is matplotlib default
         """
+        if figsize is None:
+            figsize = self.default_figsize
         visible_axes = self._flatten_visible(axes)
 
         if axes_num is not None:
@@ -346,7 +356,7 @@ def _check_axes_shape(self, axes, axes_num=None, layout=None,
             self.assertEqual(result, layout)
 
         self.assert_numpy_array_equal(
-            np.round(visible_axes[0].figure.get_size_inches()),
+            visible_axes[0].figure.get_size_inches(),
             np.array(figsize, dtype=np.float64))
 
     def _get_axes_layout(self, axes):

pandas/tests/plotting/test_datetimelike.py

@@ -26,6 +26,7 @@ class TestTSPlot(TestPlotBase):
 
     def setUp(self):
         TestPlotBase.setUp(self)
+
         freq = ['S', 'T', 'H', 'D', 'W', 'M', 'Q', 'A']
         idx = [period_range('12/31/1999', freq=x, periods=100) for x in freq]
         self.period_ser = [Series(np.random.randn(len(x)), x) for x in idx]
@@ -122,7 +123,8 @@ def test_tsplot(self):
             _check_plot_works(s.plot, ax=ax)
 
         ax = ts.plot(style='k')
-        self.assertEqual((0., 0., 0.), ax.get_lines()[0].get_color())
+        color = (0., 0., 0., 1) if self.mpl_ge_2_0_0 else (0., 0., 0.)
+        self.assertEqual(color, ax.get_lines()[0].get_color())
 
     def test_both_style_and_color(self):
         import matplotlib.pyplot as plt  # noqa
@@ -575,7 +577,8 @@ def test_secondary_y(self):
         plt.close(fig)
 
         ax2 = ser2.plot()
-        self.assertEqual(ax2.get_yaxis().get_ticks_position(), 'default')
+        self.assertEqual(ax2.get_yaxis().get_ticks_position(),
+                         self.default_tick_position)
         plt.close(ax2.get_figure())
 
         ax = ser2.plot()
@@ -605,7 +608,8 @@ def test_secondary_y_ts(self):
         plt.close(fig)
 
         ax2 = ser2.plot()
-        self.assertEqual(ax2.get_yaxis().get_ticks_position(), 'default')
+        self.assertEqual(ax2.get_yaxis().get_ticks_position(),
+                         self.default_tick_position)
         plt.close(ax2.get_figure())
 
         ax = ser2.plot()
@@ -639,15 +643,17 @@ def test_secondary_frame(self):
         df = DataFrame(np.random.randn(5, 3), columns=['a', 'b', 'c'])
         axes = df.plot(secondary_y=['a', 'c'], subplots=True)
         self.assertEqual(axes[0].get_yaxis().get_ticks_position(), 'right')
-        self.assertEqual(axes[1].get_yaxis().get_ticks_position(), 'default')
+        self.assertEqual(axes[1].get_yaxis().get_ticks_position(),
+                         self.default_tick_position)
         self.assertEqual(axes[2].get_yaxis().get_ticks_position(), 'right')
 
     @slow
     def test_secondary_bar_frame(self):
         df = DataFrame(np.random.randn(5, 3), columns=['a', 'b', 'c'])
         axes = df.plot(kind='bar', secondary_y=['a', 'c'], subplots=True)
         self.assertEqual(axes[0].get_yaxis().get_ticks_position(), 'right')
-        self.assertEqual(axes[1].get_yaxis().get_ticks_position(), 'default')
+        self.assertEqual(axes[1].get_yaxis().get_ticks_position(),
+                         self.default_tick_position)
         self.assertEqual(axes[2].get_yaxis().get_ticks_position(), 'right')
 
     def test_mixed_freq_regular_first(self):

pandas/tests/plotting/test_frame.py

@@ -10,6 +10,7 @@
 import pandas as pd
 from pandas import (Series, DataFrame, MultiIndex, PeriodIndex, date_range,
                     bdate_range)
+from pandas.types.api import is_list_like
 from pandas.compat import (range, lrange, StringIO, lmap, lzip, u, zip, PY3)
 from pandas.formats.printing import pprint_thing
 import pandas.util.testing as tm
@@ -952,9 +953,12 @@ def test_scatter_colors(self):
         with tm.assertRaises(TypeError):
             df.plot.scatter(x='a', y='b', c='c', color='green')
 
+        default_colors = self._maybe_unpack_cycler(self.plt.rcParams)
+
         ax = df.plot.scatter(x='a', y='b', c='c')
-        tm.assert_numpy_array_equal(ax.collections[0].get_facecolor()[0],
-                                    np.array([0, 0, 1, 1], dtype=np.float64))
+        tm.assert_numpy_array_equal(
+            ax.collections[0].get_facecolor()[0],
+            np.array(self.colorconverter.to_rgba(default_colors[0])))
 
         ax = df.plot.scatter(x='a', y='b', color='white')
         tm.assert_numpy_array_equal(ax.collections[0].get_facecolor()[0],
@@ -1623,6 +1627,8 @@ def test_line_colors_and_styles_subplots(self):
 
         axes = df.plot(subplots=True)
         for ax, c in zip(axes, list(default_colors)):
+            if self.mpl_ge_2_0_0:
+                c = [c]
             self._check_colors(ax.get_lines(), linecolors=c)
         tm.close()
 
@@ -1703,9 +1709,14 @@ def test_area_colors(self):
         self._check_colors(poly, facecolors=custom_colors)
 
         handles, labels = ax.get_legend_handles_labels()
-        # legend is stored as Line2D, thus check linecolors
-        linehandles = [x for x in handles if not isinstance(x, PolyCollection)]
-        self._check_colors(linehandles, linecolors=custom_colors)
+        if self.mpl_ge_1_5_0:
+            self._check_colors(handles, facecolors=custom_colors)
+        else:
+            # legend is stored as Line2D, thus check linecolors
+            linehandles = [x for x in handles
+                           if not isinstance(x, PolyCollection)]
+            self._check_colors(linehandles, linecolors=custom_colors)
+
         for h in handles:
             self.assertTrue(h.get_alpha() is None)
         tm.close()
@@ -1717,8 +1728,12 @@ def test_area_colors(self):
         self._check_colors(poly, facecolors=jet_colors)
 
         handles, labels = ax.get_legend_handles_labels()
-        linehandles = [x for x in handles if not isinstance(x, PolyCollection)]
-        self._check_colors(linehandles, linecolors=jet_colors)
+        if self.mpl_ge_1_5_0:
+            self._check_colors(handles, facecolors=jet_colors)
+        else:
+            linehandles = [x for x in handles
+                           if not isinstance(x, PolyCollection)]
+            self._check_colors(linehandles, linecolors=jet_colors)
         for h in handles:
             self.assertTrue(h.get_alpha() is None)
         tm.close()
@@ -1731,8 +1746,12 @@ def test_area_colors(self):
         self._check_colors(poly, facecolors=jet_with_alpha)
 
         handles, labels = ax.get_legend_handles_labels()
-        # Line2D can't have alpha in its linecolor
-        self._check_colors(handles[:len(jet_colors)], linecolors=jet_colors)
+        if self.mpl_ge_1_5_0:
+            linecolors = jet_with_alpha
+        else:
+            # Line2D can't have alpha in its linecolor
+            linecolors = jet_colors
+        self._check_colors(handles[:len(jet_colors)], linecolors=linecolors)
         for h in handles:
             self.assertEqual(h.get_alpha(), 0.5)
 
@@ -1855,7 +1874,10 @@ def test_kde_colors_and_styles_subplots(self):
     @slow
     def test_boxplot_colors(self):
         def _check_colors(bp, box_c, whiskers_c, medians_c, caps_c='k',
-                          fliers_c='b'):
+                          fliers_c=None):
+            # TODO: outside this func?
+            if fliers_c is None:
+                fliers_c = 'k' if self.mpl_ge_2_0_0 else 'b'
             self._check_colors(bp['boxes'],
                                linecolors=[box_c] * len(bp['boxes']))
             self._check_colors(bp['whiskers'],
@@ -2232,16 +2254,24 @@ def test_errorbar_asymmetrical(self):
         np.random.seed(0)
         err = np.random.rand(3, 2, 5)
 
-        data = np.random.randn(5, 3)
-        df = DataFrame(data)
+        # each column is [0, 1, 2, 3, 4], [3, 4, 5, 6, 7]...
+        df = DataFrame(np.arange(15).reshape(3, 5)).T
+        data = df.values
 
         ax = df.plot(yerr=err, xerr=err / 2)
 
-        self.assertEqual(ax.lines[7].get_ydata()[0], data[0, 1] - err[1, 0, 0])
-        self.assertEqual(ax.lines[8].get_ydata()[0], data[0, 1] + err[1, 1, 0])
+        if self.mpl_ge_2_0_0:
+            yerr_0_0 = ax.collections[1].get_paths()[0].vertices[:, 1]
+            expected_0_0 = err[0, :, 0] * np.array([-1, 1])
+            tm.assert_almost_equal(yerr_0_0, expected_0_0)
+        else:
+            self.assertEqual(ax.lines[7].get_ydata()[0],
+                             data[0, 1] - err[1, 0, 0])
+            self.assertEqual(ax.lines[8].get_ydata()[0],
+                             data[0, 1] + err[1, 1, 0])
 
-        self.assertEqual(ax.lines[5].get_xdata()[0], -err[1, 0, 0] / 2)
-        self.assertEqual(ax.lines[6].get_xdata()[0], err[1, 1, 0] / 2)
+            self.assertEqual(ax.lines[5].get_xdata()[0], -err[1, 0, 0] / 2)
+            self.assertEqual(ax.lines[6].get_xdata()[0], err[1, 1, 0] / 2)
 
         with tm.assertRaises(ValueError):
             df.plot(yerr=err.T)
@@ -2277,9 +2307,17 @@ def test_errorbar_scatter(self):
         self._check_has_errorbars(ax, xerr=1, yerr=1)
 
         def _check_errorbar_color(containers, expected, has_err='has_xerr'):
-            errs = [c.lines[1][0]
-                    for c in ax.containers if getattr(c, has_err, False)]
-            self._check_colors(errs, linecolors=[expected] * len(errs))
+            lines = []
+            errs = [c.lines
+                    for c in ax.containers if getattr(c, has_err, False)][0]
+            for el in errs:
+                if is_list_like(el):
+                    lines.extend(el)
+                else:
+                    lines.append(el)
+            err_lines = [x for x in lines if x in ax.collections]
+            self._check_colors(
+                err_lines, linecolors=np.array([expected] * len(err_lines)))
 
         # GH 8081
         df = DataFrame(

pandas/tests/plotting/test_misc.py

@@ -103,7 +103,10 @@ def test_scatter_matrix_axis(self):
         axes0_labels = axes[0][0].yaxis.get_majorticklabels()
 
         # GH 5662
-        expected = ['-2', '-1', '0', '1', '2']
+        if self.mpl_ge_2_0_0:
+            expected = ['-2', '0', '2']
+        else:
+            expected = ['-2', '-1', '0', '1', '2']
         self._check_text_labels(axes0_labels, expected)
         self._check_ticks_props(
             axes, xlabelsize=8, xrot=90, ylabelsize=8, yrot=0)
@@ -115,7 +118,10 @@ def test_scatter_matrix_axis(self):
             axes = _check_plot_works(scatter_matrix, filterwarnings='always',
                                      frame=df, range_padding=.1)
         axes0_labels = axes[0][0].yaxis.get_majorticklabels()
-        expected = ['-1.2', '-1.0', '-0.8', '-0.6', '-0.4', '-0.2', '0.0']
+        if self.mpl_ge_2_0_0:
+            expected = ['-1.0', '-0.5', '0.0']
+        else:
+            expected = ['-1.2', '-1.0', '-0.8', '-0.6', '-0.4', '-0.2', '0.0']
         self._check_text_labels(axes0_labels, expected)
         self._check_ticks_props(
             axes, xlabelsize=8, xrot=90, ylabelsize=8, yrot=0)

pandas/tests/plotting/test_series.py

@@ -218,12 +218,13 @@ def test_bar_log(self):
             expected = np.hstack((1.0e-04, expected, 1.0e+01))
 
         ax = Series([0.1, 0.01, 0.001]).plot(log=True, kind='bar')
-        self.assertEqual(ax.get_ylim(), (0.001, 0.10000000000000001))
+        ymax = 0.12589254117941673 if self.mpl_ge_2_0_0 else .10000000000000001
+        self.assertEqual(ax.get_ylim(), (0.001, ymax))
         tm.assert_numpy_array_equal(ax.yaxis.get_ticklocs(), expected)
         tm.close()
 
         ax = Series([0.1, 0.01, 0.001]).plot(log=True, kind='barh')
-        self.assertEqual(ax.get_xlim(), (0.001, 0.10000000000000001))
+        self.assertEqual(ax.get_xlim(), (0.001, ymax))
         tm.assert_numpy_array_equal(ax.xaxis.get_ticklocs(), expected)
 
     @slow

pandas/tools/plotting.py

@@ -141,6 +141,14 @@ def _mpl_ge_1_5_0():
     except ImportError:
         return False
 
+
+def _mpl_ge_2_0_0():
+    try:
+        import matplotlib
+        return matplotlib.__version__ >= LooseVersion('2.0')
+    except ImportError:
+        return False
+
 if _mpl_ge_1_5_0():
     # Compat with mp 1.5, which uses cycler.
     import cycler