please help installing SciPy. I think i've tried almost any advice i could find, but still no luck.
I am using Mac High OS Sierra 10.13.1, python 3.7, trying to make this work for IntellIJ IDEA 2017.2 IDE. I have Xcode version 9.2 if that helps.
I've tried instaling from IDE, using package installer -> fails with error status code 1.
I've tried installing using pip3 install scipy
I've installed brew install gcc ( I have version 7.2.0 installed)
I've installed numpy.
I've tried to install using Macports as suggested on official site - didn't help.
I've tried to instal using brew install scipy.
I've tried to install using Conda. It installed somewhere to Conda Dir, but i still cannot access library from python file using import scipy, error: No module named scipy.
Looks like i am just going in loops now, can some one suggest any idea please?
Topics i researched:
SciPy build/install Mac Osx
Can't install Scipy through pip
"failed with error code 1" while installing scipy
Some other ones i lost links to.
Ok looks like i made it work.
This thread: helped me.
It appeared I was actaully able to install scipy package using conda. But my Python didn't see the package. So i had to:
Change Right Click on my project in IDE > Project > New > Python SDK > Add Local
Select Python in Conda dir. In my case it was /Users/[my user ]/miniconda3/bin/python3.6
Restart IDE just in case and my python script was able to see import scipy.
The downside of this - that I cannot install packages the clean way from IDE anymore for some reason. I.e. Tools > Manage Python Packages > + > doesn't find any. And I have to reinstall all the packages i had using conda install [package name] from terminal . But I am fine with it, as long as it works.
Hopefully my quest might be useful for someone.
Related
Currently trying to get python up and working on my work laptop which has proven to be a huge pain in the you know what.
It seems like the PATHing is all screwed up even with pip installing packages. For example, I tried to install seaborn today via pip install seaborn which ran successfully but when I try to import it on Visual Studio it has the yellow squiggly underneath it. I try to reinstall it but it says it has already been satisfied.
Is there anyway to manually re-route all of my python libraries to where I actually know whats going on? I have the PATH set to the correct library in environment variables but it still does not read that I have seaborn installed.
Any help is greatly appreciated.
You can create python virtual environment and install your libraries on it.
https://linuxize.com/post/how-to-create-python-virtual-environments-on-ubuntu-18-04/
It creates a isolated area for your specific project.
It sounds like you might have different python installations on your system.
If that's the case it might also be the case that the python you are using in visual studio isn't the python that is packages are being installed for via a straight forward pip command.
You could try to instead of pip install ... call python -m pip install .... That ensures that you are using the pip of the python installation
I recommend you to install all dependencies (seaborn, pandas, numpy, matplotlib, etc) in a virtual environment, that means that you can have its own independent set of installed Python packages in its environment.
See here the python documentation on how to work with virtual environments on different OS.
Also, check which python versions you have installed on your machine. If you have both python2 and python3, use pip3 and python3 on terminal whenever you want to install or run something.
ERROR: Shapely-1.6.4.post2-cp36-cp36m-win_amd64.whl is not a supported wheel on this platform.
I cannot install Shapely with:
pip install "C:/path.../Shapely-1.6.4.post2-cp36-cp36m-win_amd64.whl
This is what I have tried so far:
* pip install --upgrade pip
* Python version 3.6.4, Windows 64 bit
Should I be installing another version? cp36 and win_amd64 looks correct. Unless amd means the CPU? In that case I have Intel i5. I don't see that version so I don't think that's it...
Any other suggestions on what I am doing wrong?
EDIT: Downloaded wheel from here: https://www.lfd.uci.edu/~gohlke/pythonlibs/#shapely
There's a helpful complete guide here to do so. Windows have many problems with python wheel files. If you want my advice, you better don't use Windows for python programming, Linux is perfect for such a thing. You can use Ubuntu which is great and stable.
If you really want to program python in Windows, I suggest you to install and use Anaconda. It's a great tool and helps you with installing python packages and programming in python.
EDIT: I tried the Anaconda way and it works fine. After installing Anaconda I opened Anaconda Powershell Prompt as admin (cause there was permission problem for me in installing Shapely!) and then ran the command conda install shapely. Once installation completed, I ran the command jupyter notebook and in jupyter I was able to use Shapely.
I installed the Shapely in the base environment of conda which is not good. If you want use Anaconda, you better learn how to manage environments in conda.
How do I download and install matplotlib for Python 3.5 for my mac to use in Eclipse? My mac is running macOS High Sierra version 10.13.1. I can handle quantum mechanics and thermodynamics, but the whole downloading and installing and using new python programs/packages/libraries/stuff is so hopelessly confusing to me. Assume I don't know anything, because I don't.
For scientific work using Python I recommend using Anaconda. It has all relevant packages installed.
Follow these steps:
Download Anaconda
Double Click the File in your Download Folder
For further setup with Eclipse, follow these steps.
Given that you have Python3 already installed you could also try:
python3 -m pip install matplotlib
In my experience, it is wise to consider installing a package manager like Anaconda. For something like matplotlib however, using
pip install matplotlib should be more than sufficient. For your information, the Mac already has pip (a package management system) installed, so running the above command should be enough.
I am using Python 2.7.11 and am trying to pip install modules however a few of them are failing. The message I get is "Failure to build wheel for 'X'" and "Error: INCLUDE Environment Variable is empty".
I tried to install Scrapy, LXML and Twisted and those failed. Some other random modules I tried installed fine.
I have installed pyOpenSSL, added python27 and python27/scripts to environment.
Thanks,
I tried both the solutions offered, none worked.
I installed Microsoft Visual C++ Compiler for Python 2.7, download it here. Then run:
pip install scrapy
That worked for me
A quick solution is to install the pre-compiled version of lxml. You can find it here. If you use the .exe you can point it directly to your python root folder.
After that:
close and re-open cmd
pip install your_package (make sure cmd is in the correct directory)
enjoy having no frustrating lxml errors!
Hope this helped.
Use a pre built library from this link if you are on windows:
https://www.lfd.uci.edu/~gohlke/pythonlibs/
Choose the relevant library given python version and desktop config. For example
I want to install apell in python 3.6 and winamd64 then download this:
aspell_python-1.15-cp36-cp36m-win_amd64.whl
Now go to your console and type
pip install path-to-.whl
and that's it.
I just got a new machine (osx-lion), and I'm in the process of trying to reinstall all of my tools. I'm trying to install NumPy and SciPy. I know that the version Apple ships isn't exactly what makes NumPy and SciPy happy, so I went to Python.org and installed the recommended version (2.7.3), which went smoothly. Now when I which python, it points to the new 2.7 version which was different than the one the machine came with. My PATH variable also contains the path to the 2.7 (python.org) version.
Then I downloaded NumPy and got the message:
numpy 1.6.1 cannot be installed on this disk. numpy requires python.org Python 2.6 to install.
So then I tried SciPy, and got the same message:
scipy 0.10.1 can't be installed on this disk. scipy requires python.org Python 2.6 to install.
After some googling, I see that the 2.6 required is just 2.6 or or greater, and I did install the Python.org version (2.7), but I must be missing something.
Edit - Just tried rebooting the machine in case there were some changes that needed a restart to take effect, but that didn't help.
Any help would be greatly appreciated. Thanks all.
A simple and easy way to install numpy and scipy without going through version conflicts is to use the Enthought python distribution. They have a free version that includes python and the two packages you want, and the iPython console that I like a lot. They also offer a more extensive distribution that is free only for academic use, otherwise you have to pay for it.
python.org recommends installing an updated version of python 2.x instead of the version that comes with OSX. Following this advice, I was able to get scipy and numpy to work without enthought. Here are the versions that I am using (some version numbers missing, my notes are not complete):
Python 2.7.2 from python.org (64 bit)
numpy/scipy (OSX 10.6 build)
ipython 0.12
readline
matplotlib
At the end of the day, enthought.com is the easiest way to install everything.
Install latest version of Xcode/devtools and fortran ( http://www.scipy.org/Installing_SciPy/Mac_OS_X ).
Confirm python version
python --version
Install pip
sudo easy_install pip
Install numpy
sudo pip install numpy
If it complains you have an older version of bumpy installed, upgrade it.
pip install numpy --upgrade
check how many tests it fails ;)
sudo pip install nose
python
import numpy as np
np.test('full')
If you have the OSX developer tools installed, you should be able to install from source without much trouble.
make sure you have setuptools/distribute installed in your Python.org installation: run distribute_setup.py from the new python
make sure you have the gfortran compiler for scipy. This is just brew install gfortran if you use Homebrew.
use the right easy_install to just do easy_install numpy; easy_install scipy. (Or, easy_install pip and then pip install numpy; pip install scipy.)
im not exactly sure how osx works, but if it prompts you for a directory select the one in which you installed python 2.7
you could also download numpy for 2.6 here: (via sourceforge)
http://sourceforge.net/projects/numpy/files/NumPy/1.6.1/numpy-1.6.1-py2.6-python.org-macosx10.3.dmg/download
note: i was searching for a scipy for 2.6 when i came across this on their website:
"Note that the Mac OS X binaries work with the Python from python.org, not with the Python provided by Apple. "
I suggest using the superpack by https://twitter.com/fonnesbeck you can find the install script here http://fonnesbeck.github.io/ScipySuperpack/
Enthought's canopy is a lot of money for software they did not build themselves.