COMPAT: xarray 0.8.2 test compat w.r.t. CategoricalIndex indempotency (pandas-dev#15285)

closes pandas-dev#15282

Author: jreback

ci/install_travis.sh

@@ -143,7 +143,7 @@ else
     echo "[pip installs]"
     REQ="ci/requirements-${PYTHON_VERSION}${JOB_TAG}.pip"
     if [ -e ${REQ} ]; then
-       pip install --upgrade -r $REQ
+       pip install -r $REQ
     fi
 
     # may have addtl installation instructions for this build

ci/requirements-2.7.run

@@ -20,4 +20,4 @@ html5lib=1.0b2
 beautiful-soup=4.2.1
 statsmodels
 jinja2=2.8
-xarray
+xarray=0.8.0

ci/requirements-3.5.pip

@@ -0,0 +1 @@
+xarray==0.9.1

ci/requirements-3.5.run

@@ -16,6 +16,5 @@ bottleneck
 sqlalchemy
 pymysql
 psycopg2
-xarray
 s3fs
 beautifulsoup4

pandas/tests/test_generic.py

@@ -7,6 +7,7 @@
 from numpy import nan
 import pandas as pd
 
+from distutils.version import LooseVersion
 from pandas.types.common import is_scalar
 from pandas import (Index, Series, DataFrame, Panel, isnull,
                     date_range, period_range, Panel4D)
@@ -870,6 +871,7 @@ def test_describe_none(self):
     def test_to_xarray(self):
 
         tm._skip_if_no_xarray()
+        import xarray
         from xarray import DataArray
 
         s = Series([])
@@ -895,15 +897,16 @@ def testit(index, check_index_type=True, check_categorical=True):
                                 check_index_type=check_index_type,
                                 check_categorical=check_categorical)
 
-        for index in [tm.makeFloatIndex, tm.makeIntIndex,
-                      tm.makeStringIndex, tm.makeUnicodeIndex,
-                      tm.makeDateIndex, tm.makePeriodIndex,
-                      tm.makeTimedeltaIndex]:
-            testit(index)
+        l = [tm.makeFloatIndex, tm.makeIntIndex,
+             tm.makeStringIndex, tm.makeUnicodeIndex,
+             tm.makeDateIndex, tm.makePeriodIndex,
+             tm.makeTimedeltaIndex]
+
+        if LooseVersion(xarray.__version__) >= '0.8.0':
+            l.append(tm.makeCategoricalIndex)
 
-        # not idempotent
-        testit(tm.makeCategoricalIndex, check_index_type=False,
-               check_categorical=False)
+        for index in l:
+            testit(index)
 
         s = Series(range(6))
         s.index.name = 'foo'