It is possible to install NumPy with pip using pip install numpy
.
Is there a similar possibility with SciPy? (Doing pip install scipy
does not work.)
Update
The package SciPy is now available to be installed with pip
!
It is possible to install NumPy with pip using pip install numpy
.
Is there a similar possibility with SciPy? (Doing pip install scipy
does not work.)
Update
The package SciPy is now available to be installed with pip
!
An attempt to easy_install
indicates a problem with their listing in the Python Package Index, which pip searches.
easy_install scipy
Searching for scipy
Reading http://pypi.python.org/simple/scipy/
Reading http://www.scipy.org
Reading http://sourceforge.net/project/showfiles.php?group_id=27747&package_id=19531
Reading http://new.scipy.org/Wiki/Download
All is not lost, however; pip
can install from Subversion (SVN), Git, Mercurial, and Bazaar repositories. SciPy uses SVN:
pip install svn+http://svn.scipy.org/svn/scipy/trunk/#egg=scipy
Update (12-2012):
pip install git+https://github.com/scipy/scipy.git
Since NumPy is a dependency, it should be installed as well.
Prerequisite:
sudo apt-get install build-essential gfortran libatlas-base-dev python-pip python-dev
sudo pip install --upgrade pip
Actual packages:
sudo pip install numpy
sudo pip install scipy
Optional packages:
sudo pip install matplotlib OR sudo apt-get install python-matplotlib
sudo pip install -U scikit-learn
sudo pip install pandas
src
In Ubuntu 10.04 (Lucid), I could successfully pip install scipy
(within a virtualenv) after installing some of its dependencies, in particular:
$ sudo apt-get install libamd2.2.0 libblas3gf libc6 libgcc1 libgfortran3 liblapack3gf libumfpack5.4.0 libstdc++6 build-essential gfortran libatlas-sse2-dev python-all-dev
To install scipy on windows follow these instructions:-
Step-1 : Press this link http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy to download a scipy .whl file (e.g. scipy-0.17.0-cp34-none-win_amd64.whl).
Step-2: Go to the directory where that download file is there from the command prompt (cd folder-name ).
Step-3: Run this command:
pip install scipy-0.17.0-cp27-none-win_amd64.whl
I tried all the above and nothing worked for me. This solved all my problems:
pip install -U numpy
pip install -U scipy
Note that the -U
option to pip install
requests that the package be upgraded. Without it, if the package is already installed pip
will inform you of this and exit without doing anything.
If I first install BLAS, LAPACK and GCC Fortran as system packages (I'm using Arch Linux), I can get SciPy installed with:
pip install scipy
On Fedora, this works:
sudo yum install -y python-pip
sudo yum install -y lapack lapack-devel blas blas-devel
sudo yum install -y blas-static lapack-static
sudo pip install numpy
sudo pip install scipy
If you get any public key
errors while downloading, add --nogpgcheck
as parameter to yum
, for example:
yum --nogpgcheck install blas-devel
On Fedora 23 onwards, use dnf
instead of yum
.
For the Arch Linux users:
pip install --user scipy
prerequisites the following Arch packages to be installed:
gcc-fortran
blas
lapack
Addon for Ubuntu (Ubuntu 10.04 LTS (Lucid Lynx)):
The repository moved, but a
pip install -e git+http://github.com/scipy/scipy/#egg=scipy
failed for me... With the following steps, it finally worked out (as root in a virtual environment, where python3
is a link to Python 3.2.2):
install the Ubuntu dependencies (see elaichi), clone NumPy and SciPy:
git clone git://github.com/scipy/scipy.git scipy
git clone git://github.com/numpy/numpy.git numpy
Build NumPy (within the numpy
folder):
python3 setup.py build --fcompiler=gnu95
Install SciPy (within the scipy
folder):
python3 setup.py install
In my case, it wasn't working until I also installed the following package : libatlas-base-dev, gfortran
sudo apt-get install libatlas-base-dev gfortran
Then run pip install scipy
py -m pip install --upgrade pip
py -m pip install numpy
py -m pip install matplotlib
py -m pip install scipy
py -m pip install scikit-learn
The answer is yes, there is.
First you can easily install numpy use commands:
pip install numpy
Then you should install mkl, which is required by Scipy, and you can download it here
After download the file_name.whl you install it
C:\Users\****\Desktop\a> pip install mkl_service-1.1.2-cp35-cp35m-win32.whl
Processing c:\users\****\desktop\a\mkl_service-1.1.2-cp35-cp35m-win32.whl
Installing collected packages: mkl-service
Successfully installed mkl-service-1.1.2
Then at the same website you can download scipy-0.18.1-cp35-cp35m-win32.whl
Note:You should download the file_name.whl according to you python version, if you python version is 32bit python3.5 you should download this one, and the "win32" is about your python version, not your operating system version.
Then install file_name.whl like this:
C:\Users\****\Desktop\a>pip install scipy-0.18.1-cp35-cp35m-win32.whl
Processing c:\users\****\desktop\a\scipy-0.18.1-cp35-cp35m-win32.whl
Installing collected packages: scipy
Successfully installed scipy-0.18.1
Then there is only one more thing to do: comment out a specfic line or there will be error messages when you imput command "import scipy".
So comment out this line
from numpy._distributor_init import NUMPY_MKL # requires numpy+mkl
in this file: your_own_path\lib\site-packages\scipy__init__.py
Then you can use SciPy :)
Here tells you more about the last step.
Here is a similar anwser to a similar question.
Besides all of these answers, If you install python of 32bit on your 64bit machine, you have to download scipy of 32-bit irrespective of your machine. http://www.lfd.uci.edu/~gohlke/pythonlibs/ In the above URL you can download the packages and command is: pip install
For gentoo, it's in the main repository:
emerge --ask scipy
You can also use this in windows with python 3.6 python -m pip install scipy