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BlockerBlocking issue or pull request for an upcoming releaseBlocking issue or pull request for an upcoming releaseCompatpandas objects compatability with Numpy or Python functionspandas objects compatability with Numpy or Python functions
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pandas/tests/frame/test_operators.py::TestDataFrameOperators::()::test_comparison_invalid
/home/travis/build/pandas-dev/pandas/pandas/core/indexes/base.py:104: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future.
result = op(self.values, np.asarray(other))
/home/travis/build/pandas-dev/pandas/pandas/core/indexes/base.py:104: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future.
result = op(self.values, np.asarray(other))
/home/travis/build/pandas-dev/pandas/pandas/core/indexes/base.py:104: DeprecationWarning: elementwise != comparison failed; this will raise an error in the future.
result = op(self.values, np.asarray(other))
/home/travis/build/pandas-dev/pandas/pandas/core/indexes/base.py:104: DeprecationWarning: elementwise != comparison failed; this will raise an error in the future.
result = op(self.values, np.asarray(other))
/home/travis/build/pandas-dev/pandas/pandas/core/indexes/base.py:104: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future.
result = op(self.values, np.asarray(other))
/home/travis/build/pandas-dev/pandas/pandas/core/indexes/base.py:104: DeprecationWarning: elementwise == comparison failed; this will raise an error in the future.
result = op(self.values, np.asarray(other))
/home/travis/build/pandas-dev/pandas/pandas/core/indexes/base.py:104: DeprecationWarning: elementwise != comparison failed; this will raise an error in the future.
result = op(self.values, np.asarray(other))
/home/travis/build/pandas-dev/pandas/pandas/core/indexes/base.py:104: DeprecationWarning: elementwise != comparison failed; this will raise an error in the future.
result = op(self.values, np.asarray(other))
cc @jbrockmendel I think some recent changes exposed these (or they are new in numpy 1.14.1tons).
should not just catch these, rather handle intelligently. IIRC these are for a comparison of None
lots of warnings that need catchng / fixing: https://travis-ci.org/pandas-dev/pandas/jobs/349648610
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BlockerBlocking issue or pull request for an upcoming releaseBlocking issue or pull request for an upcoming releaseCompatpandas objects compatability with Numpy or Python functionspandas objects compatability with Numpy or Python functions