CI: don't show miniconda output on install

COMPAT: compat with numpy >= 1.14 on str repr

closes #18123

Author: jreback

ci/install_travis.sh

@@ -34,9 +34,9 @@ fi
 
 # install miniconda
 if [ "${TRAVIS_OS_NAME}" == "osx" ]; then
-    time wget http://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O miniconda.sh || exit 1
+    time wget http://repo.continuum.io/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -q -O miniconda.sh || exit 1
 else
-    time wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh || exit 1
+    time wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -q -O miniconda.sh || exit 1
 fi
 time bash miniconda.sh -b -p "$MINICONDA_DIR" || exit 1
 

pandas/compat/__init__.py

@@ -381,17 +381,20 @@ def raise_with_traceback(exc, traceback=Ellipsis):
 # http://stackoverflow.com/questions/4126348
 # Thanks to @martineau at SO
 
-from dateutil import parser as _date_parser
 import dateutil
+
+if PY2 and LooseVersion(dateutil.__version__) == '2.0':
+    # dateutil brokenness
+    raise Exception('dateutil 2.0 incompatible with Python 2.x, you must '
+    'install version 1.5 or 2.1+!')
+
+from dateutil import parser as _date_parser
 if LooseVersion(dateutil.__version__) < '2.0':
+
     @functools.wraps(_date_parser.parse)
     def parse_date(timestr, *args, **kwargs):
         timestr = bytes(timestr)
         return _date_parser.parse(timestr, *args, **kwargs)
-elif PY2 and LooseVersion(dateutil.__version__) == '2.0':
-    # dateutil brokenness
-    raise Exception('dateutil 2.0 incompatible with Python 2.x, you must '
-                    'install version 1.5 or 2.1+!')
 else:
     parse_date = _date_parser.parse
 

pandas/tests/frame/test_dtypes.py

@@ -10,6 +10,8 @@
 from pandas import (DataFrame, Series, date_range, Timedelta, Timestamp,
                     compat, concat, option_context)
 from pandas.compat import u
+from pandas import _np_version_under1p14
+
 from pandas.core.dtypes.dtypes import DatetimeTZDtype
 from pandas.tests.frame.common import TestData
 from pandas.util.testing import (assert_series_equal,
@@ -531,7 +533,12 @@ def test_astype_str(self):
             assert_frame_equal(result, expected)
 
             result = DataFrame([1.12345678901234567890]).astype(tt)
-            expected = DataFrame(['1.12345678901'])
+            if _np_version_under1p14:
+                # < 1.14 truncates
+                expected = DataFrame(['1.12345678901'])
+            else:
+                # >= 1.14 preserves the full repr
+                expected = DataFrame(['1.12345678901234567'])
             assert_frame_equal(result, expected)
 
     @pytest.mark.parametrize("dtype_class", [dict, Series])