For python 2.7.6 numpy1.8.1 is api 7 and is no longer compatible with matplotlib, or scipy which are at a higher api 9. This effectively makes numpy useless for scientific users. Ubuntu 14.04 LTS Version 14.04.5 python-numpy: Installed: 1:1.8.1-1ubuntu1 Candidate: 1:1.8.1-1ubuntu1 Version table: *** 1:1.8.1-1ubuntu1 0 500 http://us.archive.ubuntu.com/ubuntu/ trusty/main amd64 Packages 100 /var/lib/dpkg/status example: $ ipython Python 2.7.6 (default, Mar 22 2014, 22:59:56) Type "copyright", "credits" or "license" for more information. IPython 1.2.1 -- An enhanced Interactive Python. ? -> Introduction and overview of IPython's features. %quickref -> Quick reference. help -> Python's own help system. object? -> Details about 'object', use 'object??' for extra details. In [1]: from scipy.io import savemat --------------------------------------------------------------------------- RuntimeError Traceback (most recent call last) RuntimeError: module compiled against API version 9 but this version of numpy is 7 --------------------------------------------------------------------------- ImportError Traceback (most recent call last) in () ----> 1 from scipy.io import savemat /usr/lib/python2.7/dist-packages/scipy/io/__init__.py in () 83 84 # matfile read and write ---> 85 from .matlab import loadmat, savemat, whosmat, byteordercodes 86 87 # netCDF file support /usr/lib/python2.7/dist-packages/scipy/io/matlab/__init__.py in () 11 12 # Matlab file read and write utilities ---> 13 from .mio import loadmat, savemat, whosmat 14 from . import byteordercodes 15 /usr/lib/python2.7/dist-packages/scipy/io/matlab/mio.py in () 11 12 from .miobase import get_matfile_version, docfiller ---> 13 from .mio4 import MatFile4Reader, MatFile4Writer 14 from .mio5 import MatFile5Reader, MatFile5Writer 15 /usr/lib/python2.7/dist-packages/scipy/io/matlab/mio4.py in () 9 from numpy.compat import asbytes, asstr 10 ---> 11 import scipy.sparse 12 13 from scipy.lib.six import string_types /usr/lib/python2.7/dist-packages/scipy/sparse/__init__.py in () 204 205 from .base import * --> 206 from .csr import * 207 from .csc import * 208 from .lil import * /usr/lib/python2.7/dist-packages/scipy/sparse/csr.py in () 13 from scipy.lib.six.moves import xrange 14 ---> 15 from .sparsetools import csr_tocsc, csr_tobsr, csr_count_blocks, \ 16 get_csr_submatrix, csr_sample_values 17 from .sputils import upcast, isintlike, IndexMixin, issequence /usr/lib/python2.7/dist-packages/scipy/sparse/sparsetools/__init__.py in () 3 from __future__ import division, print_function, absolute_import 4 ----> 5 from .csr import * 6 from .csc import * 7 from .coo import * /usr/lib/python2.7/dist-packages/scipy/sparse/sparsetools/csr.py in () 26 fp.close() 27 return _mod ---> 28 _csr = swig_import_helper() 29 del swig_import_helper 30 else: /usr/lib/python2.7/dist-packages/scipy/sparse/sparsetools/csr.py in swig_import_helper() 22 if fp is not None: 23 try: ---> 24 _mod = imp.load_module('_csr', fp, pathname, description) 25 finally: 26 fp.close() ImportError: numpy.core.multiarray failed to import In [2]: import numpy In [3]: numpy.__version__ Out[3]: '1.7.1' I get the same error if I import in plain python $ python Python 2.7.6 (default, Mar 22 2014, 22:59:56) [GCC 4.8.2] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import scipy.io as sio RuntimeError: module compiled against API version 9 but this version of numpy is 7 Traceback (most recent call last): File "", line 1, in File "/usr/lib/python2.7/dist-packages/scipy/io/__init__.py", line 85, in from .matlab import loadmat, savemat, whosmat, byteordercodes File "/usr/lib/python2.7/dist-packages/scipy/io/matlab/__init__.py", line 13, in from .mio import loadmat, savemat, whosmat File "/usr/lib/python2.7/dist-packages/scipy/io/matlab/mio.py", line 13, in from .mio4 import MatFile4Reader, MatFile4Writer File "/usr/lib/python2.7/dist-packages/scipy/io/matlab/mio4.py", line 11, in import scipy.sparse File "/usr/lib/python2.7/dist-packages/scipy/sparse/__init__.py", line 206, in from .csr import * File "/usr/lib/python2.7/dist-packages/scipy/sparse/csr.py", line 15, in from .sparsetools import csr_tocsc, csr_tobsr, csr_count_blocks, \ File "/usr/lib/python2.7/dist-packages/scipy/sparse/sparsetools/__init__.py", line 5, in from .csr import * File "/usr/lib/python2.7/dist-packages/scipy/sparse/sparsetools/csr.py", line 28, in _csr = swig_import_helper() File "/usr/lib/python2.7/dist-packages/scipy/sparse/sparsetools/csr.py", line 24, in swig_import_helper _mod = imp.load_module('_csr', fp, pathname, description) ImportError: numpy.core.multiarray failed to import >>> python3 is ok, python2.7 is not. $ python3 Python 3.4.0 (default, Apr 11 2014, 13:05:11) [GCC 4.8.2] on linux Type "help", "copyright", "credits" or "license" for more information. >>> import scipy.io >>> from scipy.io import savemat >>> import numpy >>> numpy.__version__ '1.8.1' >>> scipy version for python2 and python3 are both '0.13.3' Python 2.7.x Numpy / scipy / matplotlib all worked together seamlessly in 13.10 I develop simulations at work using numpy/scipy/matplotlib. The upgrade to 14.04 has broken all of my code. I did not expect this to happen on an LTS release. Sure, my fault, but surprising nonetheless The git release number seems to match that on PyPI, as of today. Maybe they are both wrong? /usr/lib/python2.7/dist-packages/numpy/version.py full_version = '1.8.1' git_revision = '62a7575fd82ddf028517780c01fecf7e0cca27aa' release = True From PyPI numpy-1.8.1.tar.gz/numpy-1.8.1/numpy/version.py full_version = '1.8.1' git_revision = '62a7575fd82ddf028517780c01fecf7e0cca27aa' release = True Seems to be the same as the download from sourceforge. :(

When	Who	Action	New State
2014-05-05	Manfred Hampl	Answer	Answered
2014-05-06	Bruce Labitt	Confirm	Solved
2014-05-06	Manfred Hampl	Comment	Solved

Ubuntupython-numpy package

History of question #248158

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python-numpy package