Installing numpy
+ pandas
via setuptools as dependency in setup.py does not work for me. It is not about missing dependencies. If I install numpy via pip install numpy
and afterwards python setup.py develop
everything works fine. If I understand the setuptools
documentation right, all packages are build first and then installed. So numpy
is build, but not installed when pandas
is build.
As a workaround I added numpy
to my setup_requires
. That works fine, but is obviously not a very clean solution.
Does anybody know a clean solution (Linux only is fine) for installing numpy + pandas via setuptools?
Update:
The dependency is configure via
install_requires=['numpy','pandas']
It does not make a difference, whether I add numpy explicitly or just add pandas. In both cases numpy will be downloaded and build, but pandas fails to build because some headers (which probably are installed during the install step of numpy, but not while building) cannot be found. If I install numpy first, everything works fine. I can reproduce this 100% and independent of the project I'm working on.
Update 2:
This is the end of the stack trace:
File "/tmp/easy_install-QMa4ce/pandas-0.14.1/temp/easy_install-f6lreI/numpy-1.9.0/numpy/distutils/command/build_src.py", line 153, in run
File "/tmp/easy_install-QMa4ce/pandas-0.14.1/temp/easy_install-f6lreI/numpy-1.9.0/numpy/distutils/command/build_src.py", line 170, in build_sources
File "/tmp/easy_install-QMa4ce/pandas-0.14.1/temp/easy_install-f6lreI/numpy-1.9.0/numpy/distutils/command/build_src.py", line 329, in build_extension_sources
File "/tmp/easy_install-QMa4ce/pandas-0.14.1/temp/easy_install-f6lreI/numpy-1.9.0/numpy/distutils/command/build_src.py", line 386, in generate_sources
File "numpy/core/setup.py", line 432, in generate_config_h
File "numpy/core/setup.py", line 42, in check_types
entry_points={
File "numpy/core/setup.py", line 293, in check_types
SystemError: Cannot compile 'Python.h'. Perhaps you need to install python-dev|python-devel.
The message at the end is definitively wrong. If I do a pip install numpy
before running python setup.py develop
everything works fine. In the example above, I had only pandas
in install_requires
and no numpy
. But as far as I could figure out, it makes no difference whether numpy
is added explicitly or not.
Please refer to the open issue https://github.com/numpy/numpy/issues/2434.
This is a known bug in numpy as it relates to setuptools.
As discussed there, use $ pip install -e .
rather than $ python setup.py develop
-- same result, but avoids this problem.
These should be declared with the install_requires
kwarg of setup. Here's an example project, geopandas, which requires pandas:
setup(name='geopandas',
version=FULLVERSION,
description='Geographic pandas extensions',
license='BSD',
author='Kelsey Jordahl',
author_email='kjordahl@enthought.com',
url='http://geopandas.org',
long_description=LONG_DESCRIPTION,
packages=['geopandas', 'geopandas.io', 'geopandas.tools'],
install_requires=[
'pandas', 'shapely', 'fiona', 'descartes', 'pyproj', 'rtree'], # here
)
You can also specify versions required, see setuptools docs, as often you'll want to ensure the version is recent (has the features/bug-fixes you rely on) - here's how I do that in pep8radius.
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