I'm trying to fix some code in statsmodels that creates Deprecation Warnings from numpy Most of it are quite easy to fix, mainly cases where we use floats to avoid integer division I have two problems first, I get Deprecation warnings in the test run that don't specify where they happen. I try to find them with file searches, but I don't see a `np.ones` that might cause a problem (needle in a haystack: Close to 4000 unittests and more than 100,000 lines of numpython) Also, I'm not sure the warnings are only from statsmodels, they could be in numpy, scipy or pandas, couldn't they? second, what's wrong with non-integers in `np.r_[[np.nan] * head, x, [np.nan] * tail]` (see below) I tried to set the warnings filter to `error` but then Python itself errored right away. https://travis-ci.org/statsmodels/statsmodels/jobs/68748936 https://github.com/statsmodels/statsmodels/issues/2480 Thanks for any clues Josef

nosetests -s --pdb-failures --pdb "M:\j\statsmodels\statsmodels_py34\statsmodels\tsa\tests"

..................C:\WinPython-64bit-3.4.3.1\python-3.4.3.amd64\lib\sit e-packages\numpy\core\numeric.py:183: DeprecationWarning: using a non-integer nu mber instead of an integer will result in an error in the future a = empty(shape, dtype, order) .......... .......M:\j\statsmodels\stat smodels_py34\statsmodels\tsa\filters\filtertools.py:28: DeprecationWarning: usin g a non-integer number instead of an integer will result in an error in the futu re return np.r_[[np.nan] * head, x, [np.nan] * tail] .......................... ...................C:\WinPython-64bit-3.4.3.1 \python-3.4.3.amd64\lib\site-packages\numpy\lib\twodim_base.py:231: DeprecationW arning: using a non-integer number instead of an integer will result in an error in the future m = zeros((N, M), dtype=dtype) C:\WinPython-64bit-3.4.3.1\python-3.4.3.amd64\lib\site-packages\numpy\l ib\twodim_base.py:238: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future m[:M-k].flat[i::M+1] = 1 ...........