i recently started using python with xubuntu on virtualbox but i'm having problems. I want to be able to use numpy so i thought that apt-get install python-numpy would solve everything, but using the shell i kept getting No module named numpy. I used IDLE and it could find it. I also have IDLE (using Python-2.7), and again it could import numpy. Then i noticed that the shell had python 2.7.9, while the IDLEs had python 2.7.6.
Using
import sys
print sys.path
this if what i get from 2.7.9 (shell)
/usr/local/lib/python2.7/site-packages/setuptools-17.0-py2.7.egg
/usr/local/lib/python2.7/site-packages/Pillow-2.3.0-py2.7-linux-x86_64.egg
/usr/local/lib/python2.7/site-packages/mock-1.0.1-py2.7.egg
/usr/local/lib/python27.zip
/usr/local/lib/python2.7
/usr/local/lib/python2.7/plat-linux2
/usr/local/lib/python2.7/lib-tk
/usr/local/lib/python2.7/lib-old
/usr/local/lib/python2.7/lib-dynload
/usr/local/lib/python2.7/site-packages
and from 2.7.6 (IDLE)
/home/alessandro
/usr/bin
/usr/lib/python2.7
/usr/lib/python2.7/plat-x86_64-linux-gnu
/usr/lib/python2.7/lib-tk
/usr/lib/python2.7/lib-old
/usr/lib/python2.7/lib-dynload
/usr/local/lib/python2.7/dist-packages
/usr/lib/python2.7/dist-packages
/usr/lib/python2.7/dist-packages/PILcompat
/usr/lib/python2.7/dist-packages/gtk-2.0
/usr/lib/pymodules/python2.7
/usr/lib/python2.7/dist-packages/ubuntu-sso-client
I understand that i have two versions of python installed and somehow i ended up installing packageg into only one of them (the 2.7.6).
I'd like to be able to use 2.7.9 both in the shell and in IDLE and also i'd like to install so that python 2.7.9 can see them.
I read that i can add paths to the python sys.path, but isn't there a more efficient/persistent way to do what i want?
PS: tell me if you need more informations
For my projects I usually create a virtualenv for each python version I need for the project at hand. I manage them using pip to install specific versions that I need. Moreover you should be able to choose the python path in your IDE. While I'm not using IDLE, I read here that apparently idle comes along with the python versions during install. So maybe your idle versions collide with each other. If you want to have only one python version at the time on your machine you might consider a simple remove and fresh install of your desired version. Again I would recommend pip over apt-get etc. Hope this is of help for you.
Worth to check PyDev, a plugin for Eclipse to work on python.
http://marketplace.eclipse.org/content/pydev-python-ide-eclipse , or http://pydev.org/.
This allows you to configure the python version for different project's.
I have some project's with python 2.7 and others with 3.4.
it's checks the whole system in search for the PYTHONPATH to use!
Related
From the past two days, I've been trying to install scipy from the wheel file available from http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy in my windows laptop 64 bit built and running Python 2.7.3. I tried running pip install scipy in the command window, it didn't work and the following error popped up in command prompt
and
I also tried typing
pip install scipy-version.whl
That didn't work too! and the same error popped up. I even updated my pip.
I read in some comments that pip doesn't work well for scipy installation. If so, what alternatives can you suggest? If not can you tell me the way to install using wheel scripts?
There are some issue while installing scipy using pip, please try using Anaconda python version which comes with all the libraries you can ever need instead of your default python.
Still if you want to use the default python refer here, as already answered here.
Using pip with different Python version is a common problem, as I see when I search the Internet. There are a lot of answers around, also in this forum. However nobody seems to encounter the same problem that I have:
I use Canopy python most and it was installed first. Later I installed Anaconda. Now when I try to install a program with pip it always install it in Canopy (or refuse to install it because it is already installed in Canopy.
for example:
$ pip install ipython
gives:
Requirement already satisfied...
but there are no ipython in my Anaconda-folder, it is in the /Enthought/Canopy_64bit/... folder
How can I overcome this problem?
Both versions are 2.7 and even if one is 2.7.11 and the other 2.7.12, it did not work to distinguish between the two by this.
Maybe you can try the following.
Find where both pip-s reside (whereis pip, I have it on ~/anaconda2/bin), then cd to the pip directory of the python version you want, and execute it from there.
I manage with the help of J. Corson comment:
When you want to use a particular Python installation, activate the desired environment. In my chase
source /home/per/anaconda_ete/bin/activate
then using pip made the installation in the anaconda python and I could install ipython and other stuff there... fine, thanks!
I downloaded scipy-0.17.0-cp27-none-win_amd64.whl and GDAL-1.11.4-cp27-none-win_amd64.whl from gohlke in C:\Python27\Scripts
To install I used
pip install scipy-0.17.0-cp27-none-win_amd64.whl
pip install GDAL-1.11.4-cp27-none-win_amd64.whl
It says the installation is complete but when I import the libraries as
import scipy
import gdal
it shows error as
No module named gdal
No module named gdal
However, I installed the matplotlib, numpy in the very same way and they are working absolutely fine.
I solved this problem eventually to found the mistake in my approach.
This problem can occur with anyone using ArcGIS in one's system.
ArcGIS comes with it's default Python package and if one installs python separately, each time the new libraries gets installed in the newer Python installation not in ArcGIS.
Therefore, the pyhton IDLE which one uses need to be from another Python installation.
Here in my case, ArcGIS has Python 2.6 and I have made an separate installation using Python 2.7.11.
All the libraries were getting installed in right place but I was opening the wrong IDLE to write scripts hence getting error.
I have two versions of python on my RedHat 6 machine: 2.7.8 that came with the system originally and 2.7.10 that I've installed using miniconda for a project. I have to use the newer version to run some demo code for another project. The demo script produced this error:
ImportError: No module named scipy.sparse
Running pip install scipy failed with a bunch of warnings and then this:
numpy.distutils.system_info.NotFoundError: no lapack/blas resources found
numpy is already installed. That is, I get Requirement already satisfied when trying to pip install numpy.
The yum install command recommended on the SciPy install page completed fine but did not help, probably because this python version is installed at a non-default location.
Same result after building blas and lapack from source as described here
How do I get scipy to install properly?
Thx
I think you don't have lapack/blas library.
try this.
yum install python-devel python-nose python-setuptools gcc gcc-gfortran gcc-c++ blas-devel lapack-devel atlas-devel
it will install all what you need.
If you use Anaconda/miniconda, then use the conda package manager, not pip:
conda install scipy.
Value of a Peace of mind once starting always from a [Defined state]
There are many issues with pip / yum installer strategies that we, mortals, can spend ages on our attempts to get resolved.
Since I started to use the Travis Oliphant's Anaconda fully-fledged package-manager, these dependency-related / version-colliding issues simply disappeared. Well did not disappear, but principally do not appear.
Why?
Anaconda package-manager both allows one to keep separate versions ready / reconfigurable via Anaconda for individual python launches
and
Anaconda resolves updates in a smart way, one would never experience with manual/semi-manual pip/yum installers
In other words, if you strive to get rid of issues, opt to install Anaconda and start using it's (parallel) multi-versions installation / setup controls and it's smart package-manager facilities.
n.b.: this is not a commercial/spam/PR, this is just personal experience after many years of troubles with individual package updates' collisions / compatibility back-testing troubles in multi-py 2.5 / 2.6 / 2.7 installations environments
I am configuring pygtk in my centos 5.4 machine. But I am facing few issues.
I want pygtk to be configured to Python 2.7(The default python version is Python 2.4 in centos 5)
So I installed Python 2.7 with different --prefix to my local space and then installed pygobject2.28 and then pygtk2.24 with the --prefix="where python 2.7 installed".
But when I run python2.7 interpreter I am able to import pygtk but, when I try to import gtk it says "no module named gtk."
I have configured PYTHONPATH and PYTHON environment variables to python2.7/lib/site-packages and python2.7 respectively.
My questions:
if pygtk is a wrapper for gtk then why am not able to import gtk, when I am able to import pygtk.
Where does python(or pygtk) pick the gtk from?
And how can I solve the above problem!?
I tried google and other stack overflow questions. But none of them answered the above quesions.
I wasn't checking the ./configure output properly. The problem was, I was trying to install gtk and pygtk without installing cairo and pango. So pygtk skipped building gtk packages because it did not find any cairo package. This was mentioned in the ./ configure script but I had not checked that.
Summarizing:
To configure pygtk to python need to folow these steps
install sqlite-devel #If sqlite needed
install python(2.7)
install gtk(2.24.0) -> requires glib(2.27.3), atk(1.29.2), cairo(1.8.10), pango(1.22.4), gdk-pixbuf(2.21.3)
install pygtk(2.24.0) -> requires pygobject-2.28.3, pycairo(1.8.10)
All the above packages must be compiled to the same prefix, and need to set the PYTHON and PATHONPATH environment variables. The versions of packages also play major role. Added version in parenthesis that worked for me.
There are many dependencies while installing some of the packages so I had to install following packages using yum: libxext, librender, gettext, zlib, libgtk2-devel