Merge pull request #8949 from jreback/graphics

BLD/TST: skip mpl 1.2.1 tests (GH8947)

Author: jreback

.travis.yml

@@ -38,6 +38,13 @@ matrix:
       - BUILD_TYPE=conda
       - JOB_NAME: "27_nslow"
       - DOC_BUILD=true # if rst files were changed, build docs in parallel with tests
+    - python: 2.7
+      env:
+      - NOSE_ARGS="slow and not network and not disabled"
+      - FULL_DEPS=true
+      - JOB_TAG=_SLOW
+      - BUILD_TYPE=conda
+      - JOB_NAME: "27_slow"
     - python: 3.3
       env:
       - NOSE_ARGS="not slow and not disabled"
@@ -76,6 +83,13 @@ matrix:
         - CLIPBOARD_GUI=qt4
         - BUILD_TYPE=pydata
         - JOB_NAME: "32_nslow"
+      - python: 2.7
+        env:
+        - NOSE_ARGS="slow and not network and not disabled"
+        - FULL_DEPS=true
+        - JOB_TAG=_SLOW
+        - BUILD_TYPE=conda
+        - JOB_NAME: "27_slow"
       - python: 2.7
         env:
         - EXPERIMENTAL=true

ci/requirements-2.7_LOCALE.txt

@@ -7,7 +7,7 @@ xlrd=0.9.2
 numpy=1.7.1
 cython=0.19.1
 bottleneck=0.8.0
-matplotlib=1.3.0
+matplotlib=1.2.1
 patsy=0.1.0
 sqlalchemy=0.8.1
 html5lib=1.0b2

ci/requirements-2.7_SLOW.txt

@@ -0,0 +1,25 @@
+dateutil
+pytz
+numpy
+cython
+matplotlib
+scipy
+patsy
+statsmodels
+xlwt
+openpyxl
+xlsxwriter
+xlrd
+numexpr
+pytables
+sqlalchemy
+lxml
+boto
+bottleneck
+psycopg2
+pymysql
+html5lib
+beautiful-soup
+httplib2
+python-gflags
+google-api-python-client

pandas/tests/test_graphics.py

@@ -77,6 +77,9 @@ def setUp(self):
         else:
             self.bp_n_objects = 8
 
+        self.mpl_le_1_2_1 = str(mpl.__version__) <= LooseVersion('1.2.1')
+        self.mpl_ge_1_3_1 = str(mpl.__version__) >= LooseVersion('1.3.1')
+
     def tearDown(self):
         tm.close()
 
@@ -443,7 +446,6 @@ def setUp(self):
         import matplotlib as mpl
         mpl.rcdefaults()
 
-        self.mpl_le_1_2_1 = str(mpl.__version__) <= LooseVersion('1.2.1')
         self.ts = tm.makeTimeSeries()
         self.ts.name = 'ts'
 
@@ -818,12 +820,13 @@ def test_hist_kwargs(self):
         self._check_text_labels(ax.yaxis.get_label(), 'Degree')
         tm.close()
 
-        ax = self.ts.plot(kind='hist', orientation='horizontal')
-        self._check_text_labels(ax.xaxis.get_label(), 'Degree')
-        tm.close()
+        if self.mpl_ge_1_3_1:
+            ax = self.ts.plot(kind='hist', orientation='horizontal')
+            self._check_text_labels(ax.xaxis.get_label(), 'Degree')
+            tm.close()
 
-        ax = self.ts.plot(kind='hist', align='left', stacked=True)
-        tm.close()
+            ax = self.ts.plot(kind='hist', align='left', stacked=True)
+            tm.close()
 
     @slow
     def test_hist_kde_color(self):
@@ -961,9 +964,6 @@ def setUp(self):
         import matplotlib as mpl
         mpl.rcdefaults()
 
-        self.mpl_le_1_2_1 = str(mpl.__version__) <= LooseVersion('1.2.1')
-        self.mpl_ge_1_3_1 = str(mpl.__version__) >= LooseVersion('1.3.1')
-
         self.tdf = tm.makeTimeDataFrame()
         self.hexbin_df = DataFrame({"A": np.random.uniform(size=20),
                                "B": np.random.uniform(size=20),
@@ -2141,31 +2141,33 @@ def test_hist_df_coord(self):
             self._check_box_coord(axes[2].patches, expected_y=np.array([0, 0, 0, 0, 0]),
                                   expected_h=np.array([6, 7, 8, 9, 10]))
 
-            # horizontal
-            ax = df.plot(kind='hist', bins=5, orientation='horizontal')
-            self._check_box_coord(ax.patches[:5], expected_x=np.array([0, 0, 0, 0, 0]),
-                                  expected_w=np.array([10, 9, 8, 7, 6]))
-            self._check_box_coord(ax.patches[5:10], expected_x=np.array([0, 0, 0, 0, 0]),
-                                  expected_w=np.array([8, 8, 8, 8, 8]))
-            self._check_box_coord(ax.patches[10:], expected_x=np.array([0, 0, 0, 0, 0]),
-                                  expected_w=np.array([6, 7, 8, 9, 10]))
-
-            ax = df.plot(kind='hist', bins=5, stacked=True, orientation='horizontal')
-            self._check_box_coord(ax.patches[:5], expected_x=np.array([0, 0, 0, 0, 0]),
-                                  expected_w=np.array([10, 9, 8, 7, 6]))
-            self._check_box_coord(ax.patches[5:10], expected_x=np.array([10, 9, 8, 7, 6]),
-                                  expected_w=np.array([8, 8, 8, 8, 8]))
-            self._check_box_coord(ax.patches[10:], expected_x=np.array([18, 17, 16, 15, 14]),
-                                  expected_w=np.array([6, 7, 8, 9, 10]))
-
-            axes = df.plot(kind='hist', bins=5, stacked=True,
-                           subplots=True, orientation='horizontal')
-            self._check_box_coord(axes[0].patches, expected_x=np.array([0, 0, 0, 0, 0]),
-                                  expected_w=np.array([10, 9, 8, 7, 6]))
-            self._check_box_coord(axes[1].patches, expected_x=np.array([0, 0, 0, 0, 0]),
-                                  expected_w=np.array([8, 8, 8, 8, 8]))
-            self._check_box_coord(axes[2].patches, expected_x=np.array([0, 0, 0, 0, 0]),
-                                  expected_w=np.array([6, 7, 8, 9, 10]))
+            if self.mpl_ge_1_3_1:
+
+                # horizontal
+                ax = df.plot(kind='hist', bins=5, orientation='horizontal')
+                self._check_box_coord(ax.patches[:5], expected_x=np.array([0, 0, 0, 0, 0]),
+                                      expected_w=np.array([10, 9, 8, 7, 6]))
+                self._check_box_coord(ax.patches[5:10], expected_x=np.array([0, 0, 0, 0, 0]),
+                                      expected_w=np.array([8, 8, 8, 8, 8]))
+                self._check_box_coord(ax.patches[10:], expected_x=np.array([0, 0, 0, 0, 0]),
+                                      expected_w=np.array([6, 7, 8, 9, 10]))
+
+                ax = df.plot(kind='hist', bins=5, stacked=True, orientation='horizontal')
+                self._check_box_coord(ax.patches[:5], expected_x=np.array([0, 0, 0, 0, 0]),
+                                      expected_w=np.array([10, 9, 8, 7, 6]))
+                self._check_box_coord(ax.patches[5:10], expected_x=np.array([10, 9, 8, 7, 6]),
+                                      expected_w=np.array([8, 8, 8, 8, 8]))
+                self._check_box_coord(ax.patches[10:], expected_x=np.array([18, 17, 16, 15, 14]),
+                                      expected_w=np.array([6, 7, 8, 9, 10]))
+
+                axes = df.plot(kind='hist', bins=5, stacked=True,
+                               subplots=True, orientation='horizontal')
+                self._check_box_coord(axes[0].patches, expected_x=np.array([0, 0, 0, 0, 0]),
+                                      expected_w=np.array([10, 9, 8, 7, 6]))
+                self._check_box_coord(axes[1].patches, expected_x=np.array([0, 0, 0, 0, 0]),
+                                      expected_w=np.array([8, 8, 8, 8, 8]))
+                self._check_box_coord(axes[2].patches, expected_x=np.array([0, 0, 0, 0, 0]),
+                                      expected_w=np.array([6, 7, 8, 9, 10]))
 
     @slow
     def test_hist_df_legacy(self):