Installing SciPy and NumPy using pip

Question

I m trying to create required libraries in a package I m distributing  It requires both the SciPy and NumPy libraries  While developing  I installed both using  apt-get install scipy   which installed SciPy 0 9 0 and NumPy 1 5 1  and it worked fine   I would like to do the same using pip install - in order to be able to specify dependencies in a setup py of my own package   The problem is  when I try   pip install  numpy  1 5 1    it works fine   But then  pip install  scipy  0 9 0    fails miserably  with  raise self notfounderror self notfounderror   doc     numpy distutils system info BlasNotFoundError   Blas  http   www netlib org blas   libraries not found   Directories to search for the libraries can be specified in the  numpy distutils site cfg file  section  blas   or by setting  the BLAS environment variable    How do I get it to work

User · Answer

you need the libblas and liblapack dev packages if you are using Ubuntu   aptitude install libblas-dev liblapack-dev pip install scipy

User · Answer

This worked for me on Ubuntu 14 04   sudo apt-get install libblas-dev liblapack-dev libatlas-base-dev gfortran pip install scipy

User · Answer

Since the previous instructions for installing with yum are broken here are the updated instructions for installing on something like fedora  I ve tested this on  Amazon Linux AMI 2016 03   sudo yum install atlas-devel lapack-devel blas-devel libgfortran pip install scipy

User · Answer

I was working on a project that depended on numpy and scipy  In a clean installation of Fedora 23  using a python virtual environment for Python 3 4  also worked for Python 2 7   and with the following in my setup py  in the setup   method   setup requires        numpy      install requires        numpy        scipy        I found I had to run the following to get pip install -e   to work   pip install --upgrade pip   and   sudo dnf install atlas-devel gcc- c   gfortran  subversion redhat-rpm-config   The redhat-rpm-config is for scipy s use of redhat-hardened-cc1 as opposed to the regular cc1

User · Answer

On windows python 3 5  I managed to install scipy by using conda not pip   conda install scipy

User · Answer

I am assuming Linux experience in my answer  I found that there are three prerequisites to getting pip install scipy to proceed nicely   Go here  Installing SciPY  Follow the instructions to download  build and export the env variable for BLAS and then LAPACK  Be careful to not just blindly cut n paste the shell commands - there will be a few lines you need to select depending on your architecture  etc   and you ll need to fix add the correct directories that it incorrectly assumes as well   The third thing you may need is to yum install numpy-f2py or the equivalent   Oh  yes and lastly  you may need to yum install gcc-gfortran as the libraries above are Fortran source

User · Answer

What operating system is this  The answer might depend on the OS involved  However  it looks like you need to find this BLAS library and install it  It doesn t seem to be in PIP  you ll have to do it by hand thus   but if you install it  it ought let you progress your SciPy install

User · Answer

in my case  upgrading pip did the trick  Also  I ve installed scipy with -U parameter  upgrade all packages to the last available version

[python] Installing SciPy and NumPy using pip

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