all. I am trying to install shapely via the .whl using pip. I have python 3.6.13 running on anaconda prompt. I have downloaded the shapely .whl using this site. However, when I run the commands shown in the image below, I get the error "shapely... is not a supported wheel on this platform."
From what I understand, I have a 64 bit architecture and python 3.6 (although it is python 3.6.13). I have tried to just request python 3.6 flat from the virtual environment setup by using the following command:
conda create -n stormEnv python=3.6
However, this command always returns a python version that is higher than a flat 3.6.
I am wondering if there is a way to get a python version that is a flat 3.6, or if I am just using the wrong .whl file from https://www.lfd.uci.edu/~gohlke/pythonlibs/
I have also tried the 3.6 32bit architecture as shown in the next image without any success:
Thanks for any help you can provide.
Since you're working with conda, the first thing you should try is:
conda install shapely
There is likely to be an existing build for your platform available in conda forge.
Wheel files are tagged with compatibility markers, and you should not attempt to install an incompatible wheel directly, because the the compiled artifacts inside the wheel will not work on your platform. You'll have to find a wheel which is supported on your platform - to see the list of supported tags run:
python -m pip debug -v
If there are no compatible wheels available, you'll have to install the necessary build dependencies and then install directly from source code.
Installing Spacy on Windows 10 with pip is failing. Installing any other of a number of modules is working fine for me.
Here is a pastebin containing the error message:
pip install -U spacy
or
python -m pip install spacy
output:
https://pastebin.com/Y9np4veN
I have tried this both with and without virtualenv and it is failing in the same manner either way. I have also already tried installing and updating setuptools. I've ensured that I am using Python 3.7 and pip3. There is no other version of python or pip installed on my PC.
I downgraded to Python 3.6 and was able to successfully install spacy
Using x86-64 ("64-bit") version of Python 3.7 (3.7.4) instead of x86 ("32-bit") one on Windows fixed the issue for me.
I HAVE PYTHON 3.6.6 INSTALLED IN MY WINDOWS 7 PLATFORM BUT WHEN I TRIED TO INSTALL OPENCV PACKAGE IT SAYS REQUIREMENT ALREADY SATISFIED AND IF I TRY TO IMPORT CV2 IT SAYS NO MODULE .I'VE TRIED ALL POSSIBLE METHODS ON INTERNET WHAT SHOULD I DO
i tried to download opencv exe from sourceforge and copying cv2.pyd file and then pasting it in site packages
i tried pip install opencv_python-4.0.1-cp37-cp37m-win_amd64.whl
but nothing works
The error message says that you are asking PIP install a version of cv2 for 64-bit Python 2.7, and that installation is failing. So the installation is not happening because it's the wrong version. That might be because you don't have Python 2.7, or because you have a 32-bit processor, or both. Navigate to Python36\Scripts and issue the command pip install opencv_python. Then pip will find the appropriate file to download, and install it.
I'm hesitating whether to downgrade to Python 3.6 or install a new version of TensorFlow.
Does TensorFlow 1.9 support Python 3.7?
I was able to install Tensorflow 1.12.0 with Python 3.7 on MacOS, with the following command.
sudo python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.12.0-py3-none-any.whl
Not yet. It seems there are some variables named "async", which has become a keyword in 3.7. Shouldn't be too difficult to fix, but still a problem.
Source: https://github.com/tensorflow/tensorflow/issues/20444
Probably not yet.
First of all, you will probably get a SyntaxError: invalid syntax because some parameters and variables at the pywrap_tensorflow_internal.py module have the name async which is a reserved keyword in Python 3.7.0 (see also this post).
However, you can solve this by simply changing the name of all these (Ctrl + R and Replace All) from async to for example async1.
The problem is that then you will probably get a ImportError: No module named '_pywrap_tensorflow_internal' which perhaps may be fixed for any previous version before Python 3.7.0 as this post on StackOverflow suggests but personally I could not fix it on my laptop with Python 3.7.0 .
Consequently, I simply downgraded to Python 3.6.6 and now Tensorflow is working fine.
There is a whl built here. However in my run it was cpu version.
https://www.lfd.uci.edu/~gohlke/pythonlibs/
as of Aug 26tH, there is an update on the tensorflow github site
https://github.com/tensorflow/tensorflow/pull/21202
Tensorflow 1.13.1 now supports Python 3.7.
According to the comments on github
see
https://github.com/tensorflow/tensorflow/issues/20517#issuecomment-457185528
by member av8ramit
"We are aiming to try and have Windows and Ubuntu python binaries by rc2 or the official."
the estimated release date for 2019-02-03
however on
https://github.com/winpython/winpython/issues/687
one can read from a winpython contributor:
"Tensorflow-2 is 2019, Tensorflow-1 on Python-3.7 is still not in sight"
Finally Worked for me!
On Python 3.6.4 (even 3.6.5 failed for me)
Install Python3.6.4 from here:
https://www.python.org/downloads/mac-osx/
If you're facing issues with Python pkgs that you already had on you older version just revert it using this post:
python location on mac osx
I found this to work after searching for a while.
As Tensorflow only supports Python 3.6 as of now, you can install a different version of python alongside your standard one. Here are the steps I followed:
Download the Python3.6 tgz file from the official website (eg. Python-3.6.6.tgz)
Unpack it with tar -xvzf Python-3.6.6.tgz
cd Python-3.6.6
run ./configure
run make altinstall to install it (install vs altinstall explanation here Difference in details between "make install" and "make altinstall")
You'll normally find your new python install under /usr/local/bin. Now you can create a new virtualenv specifying the python version with:
virtualenv --python=python3.6 env3.6
Get into the virtualenv running the command source env3.6/source/bin/activate.
Install tensorflow with the classic pip install tensorflow
Profit
First of all,
*conda create -n yourenvname python=3.6
*conda activate yourenvname
*pip install tensorflow
then it will work like rock.
I am using canopy Version: 2.1.6.3665 (32 bit). Looking for help to install tensorflow. I tried following command using canopy command promt, however it didn't work
pip3 install --upgrage tensorflow
thanks
As far as I know, the tensorflow package is only distributed in 64 bit wheels (see https://pypi.python.org/pypi/tensorflow). Why do you need to use 32-bit Python?