I'm running OSX 10.11 and have python 2.7.10 installed on my computer. I want to install pygame1.9.2 for the said environment (don't want to install it for python3 which is installed on my computer as well).
When I try to install this one - http://www.pygame.org/ftp/pygame-1.9.2pre-py2.7-macosx10.7.mpkg.zip - it says, "This package is incompatible with this version of OS X and may fail to install." Even if I continue, installation fails somehow.
I tried "pip install pygame" then it says
"Collecting pygame Could not find a version that satisfies the
requirement pygame (from versions: ) No matching distribution found
for pygame. "
How do I install it?
(for future reference) After spending many hours I found the following command to be working!
sudo pip install --user git+https://github.com/pygame/pygame/
It's not 1.9.2 but can run what I wanted with python 2.7.10
>>> pygame.__version__
'2.0.0.dev0'
Related
so I just uninstalled a wrong version of python 3.8 and downloaded python 3.7.4
Now I'm trying to install packages using the command pip install X and get the following error.
C:\Users\User>pip install cv2
Fatal error in launcher: Unable to create process using '"c:\users\user\appdata\local\programs\python\python38-32\python.exe" "C:\Users\User\AppData\Local\Programs\Python\Python38-32\Scripts\pip.exe" install cv2': The system cannot find the file specified.
clearly it is still trying to use the old version of python 3.8 even though I have uninstalled it and reinstalled pip several times.
Any idea on why its trying to look for this old path? and how can I change the default path it is using?
(btw this is just a matter of convenience because as of the moment if I use the command python -m pip install X it does seem to work)
try command python -m pip install --upgrade pip
Delete and clear environment config and install again...
I am a Python Noob. (Using Mac OS 10.12 & Python 3.7)
I'm trying to use mpl_toolkits.basemap
to execute the code
from mpl_toolkits.basemap import Basemap
I googled the way to get matplotlib and successfully installed it.
However, while it's possible to run "from mpl_toolkits.basemap import Basemap" in terminal on mac,
it fails to be loaded if I run the command within IDLE.
Then, I googled to figure out the issue and got the hint that
it could be resolved if I install Basemap properly.
To install Basemap, I think I need to go with "FINK".
However, Fink is only available up to 10.5 OS while mine is 10.12.
And FINK website says do not update OS before upgrading FINK.
However, it's too late for me.
Cause I updated my OS longtime ago and recently I started to learn Python Using Mac.
So I guess, if there is a way to install Basemap not using apt-get,
(the codes below is from "Python basemap module impossible to import")
sudo apt-get install libgeos-3.5.0
sudo apt-get install libgeos-dev
sudo pip install https://github.com/matplotlib/basemap/archive/master.zip
I think my issue could be cleared.
Since I'm really really noob, I'm not sure this is the reason for my failing in "from mpl_toolkits.basemap import Basemap".
What I tried so far is
1) brew install basemap
with the error of
Error: No available formula with the name "basemap"
==> Searching for a previously deleted formula (in the last month)... Warning: homebrew/core is shallow clone. To get complete history run:
git -C "$(brew --repo homebrew/core)" fetch --unshallow
2) pip install basemap
with the error of
Requirement already satisfied
3) sudo pip install https://github.com/matplotlib/basemap/archive/master.zip
with the error of
Command "python setup.py egg_info" failed with error code 1 in
/private/tmp/pip-install-lux494o4/pyproj/
4) conda install basemap
with the following message of
All requested packages already installed.
5) conda install -c conda-forge basemap
with the following message
Preparing transaction: done Verifying transaction: done Executing
transaction: done
Can anyone help to install basemap properly so that I could run
"from mpl_toolkits.basemap import Basemap"
in my IDLe?
My IDLE Sheel keeps saying
Traceback (most recent call last): File "", line 1, in
from mpl_toolkits.basemap import Basemap ModuleNotFoundError: No module named 'mpl_toolkits.basemap'
while my terminal doesn't have problem with running the code.
Appreciate it in advance.
any luck? I spent the day battling this as well. I had the most success when I tried downloading an older version of basemap.
I was using python 2.7 and this worked okay sudo -H pip2 install https://github.com/matplotlib/basemap/archive/v1.1.0.tar.gz
For python 3 try replacing pip2 with pip3 or pip.
Ran into this myself today my solution:
install libgeos on mac
brew install geos
then as you suggested use pip to install mpl_tools:
pip3 install -q https://github.com/matplotlib/basemap/archive/master.zip
This also may help:
missing libgeos_c.so on OSX
Firstly, I suggest you to set Anaconda up. Then follow below steps;
Create a new environment in anaconda.
Install Jupyter Notebook and launch it. If it works, turn it off.
Change your anaconda environment in your terminal.
Try installation commands below;
conda install ...
conda install forge ...
pip install ...
when I try to install TensorFlow by cloning from Git, I run into the error "no module named copyreg," so I tried installing using a virtualenv. However, I then run into this error:
pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
tensorflow-0.5.0-py2-none-any.whl is not a supported wheel on this platform.
I don't see this under the common problems section.
I am using OS X v10.10.5 (Yosemite) and Python 3.4.3, but I also have Python 2.7 (I am unsure if pip differentiates between these or how to switch between them).
I too got the same problem.
I downloaded get-pip.py from https://bootstrap.pypa.io/get-pip.py and then ran python2.7 get-pip.py for installing pip2.7.
And then ran the pip install command with python2.7 as follows.
For Ubuntu/Linux:
python2.7 -m pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
For Mac OS X:
python2.7 -m pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
This should work just fine as it did for me :)
I followed these instructions from here.
After activating the virtualenv, be sure to upgrade pip to the latest version.
(your_virtual_env)$ pip install --upgrade pip
And now you'll be able to install TensorFlow correctly (for Linux):
(your_virtual_env)$ pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.7.0-py2-none-linux_x86_64.whl
I was trying to do the Windows-based install and kept getting this error.
It turns out you have to have Python 3.5.2. Not 2.7, not 3.6.x-- nothing other than 3.5.2.
After installing Python 3.5.2, the pip install worked.
Make sure that the wheel is, well, supported by your platform. Pip uses the wheel's filename to determine compatibility. The format is:
tensorflow-{version}-{python version}-none-{your platform}.whl
I didn't realize that x86_64 refers to x64, I thought it meant either x86 or x64, so I banged my head against this futilely for some time. TensorFlow is not available for 32-bit systems, unless you want to compile it yourself.
It seems that TensorFlow only works on Python 3.5 at the moment. Try to run this command before running the pip install
conda create --name tensorflow python=3.5
After this, run the following lines:
For CPU:
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.1.0-cp35-cp35m-win_amd64.whl
For GPU:
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-1.1.0-cp35-cp35m-win_amd64.whl
It should work like a charm.
On Windows 10, with Python 3.6.X version I was facing the same. Then after checking deliberately, I noticed I had Python-32 bit installation on my 64-bit machine. Remember TensorFlow is only compatible with a 64-bit installation of Python. Not 32 bit of Python
If we download Python from python.org, the default installation would be 32 bit. So we have to download the 64 bit installer manually to install Python 64 bit. And then add
C:\Users<username>\AppData\Local\Programs\Python\Python36
C:\Users<username>\AppData\Local\Programs\Python\Python36\Scripts
Then run gpupdate /Force on the command prompt. If the Python command doesn’t work for 64 bit, restart your machine.
Then run the Python interpreter on the command prompt. It should show 64 bit
python
Python 3.6.3 (v3.6.3:2c5fed8, Oct 3 2017, 18:11:49) [MSC v.1900 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
Then run the below command to install the TensorFlow CPU version (recommended)
pip3 install --upgrade tensorflow
The pip wheel file contains the Python version in its name (cp34-cp34m). If you download the .whl file and rename it to say py3-none or instead, it should work. Can you try that?
The installation won't work for Anaconda users that choose Python 3 support, because the installation procedure is asking to create a Python 3.5 environment and the file is currently called cp34-cp34m. So renaming it would do the job for now.
sudo pip3 install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.7.0-cp34-cp34m-linux_x86_64.whl
This will produce the exact error message you got above. However, when you will download the file yourself and rename it to "tensorflow-0.7.0-py3-none-linux_x86_64.whl", then execute the command again with the changed filename, it should work fine.
For Windows 10 64 bit:
I have tried all the suggestions here, but finally I got it running as follows:
Uninstall all current versions of Python
Remove all Python references in the PATH system and user environment variables
Download the latest 64-bit version of Python 3.8: Python 3.8.7 currently, not the latest 3.9.x version which is the one I was using, and not 32 bit.
Install with all options selected, including pip, and including the PATH environment variable
pip install tensorflow (in an administrator CMD prompt)
Upgrade pip if prompted (optional)
Actually, you can use Python 3.5.*.
I successfully solved this problem with Python 3.5.3. Modify the Python version to 3.5.* in Conda. See Managing Python.
Then go to https://www.tensorflow.org/install/install_windows, and repeat from "Create a Conda environment named tensorflow by invoking the following command" bla, bla...
Maybe you are installing the wrong pre-build binary?
Check on https://github.com/lakshayg/tensorflow-build
For my Coffee Lake processor on Ubuntu 18.04 (Bionic Beaver) the download URL was:
https://github.com/lakshayg/tensorflow-build/releases/download/tf1.12.0-ubuntu18.04-py2-py3/tensorflow-1.12.0-cp36-cp36m-linux_x86_64.whl
pip install --ignore-installed --upgrade <PATH>
resolved the issue for me.
I was trying to install from source and got that error. (Why would a wheel built on this machine not be compatible with it?)
For me, the tag --ignore-installed made all the difference.
pip install --ignore-installed /tmp/tensorflow_pkg/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
worked, while
pip install /tmp/tensorflow_pkg/tensorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
threw the abovementioned error.
Context: Conda environment; it might have been a problem specific to this
I was trying to install CPU TensorFlow on Ubuntu 18.04 (Bionic Beaver), and the best way (for me...) I found for it was using it on top of Conda, for that:
To create a Conda ‘tensorflow’ environment. Follow How to Install Anaconda on Ubuntu 18.04
After all is installed, see Getting started with conda. And use it according to Managing environments
conda create --name tensorflow
source activate tensorflow
pip install --upgrade pip
pip uninstall tensorflow
For CPU: pip install tensorflow-cpu, for GPU: pip install tensorflow
pip install --ignore-installed --upgrade tensorflow
Test TF E.g. on 'Where' with:
python
import tensorflow as tf
>>> tf.where([[True, False], [False, True]])
Expected result:
<tf.Tensor: shape=(2, 2), dtype=int64, numpy=
array([[0, 0],
[1, 1]])>
After the Conda upgrade, I got:
DeprecationWarning: 'source deactivate' is deprecated. Use 'conda deactivate'.
So you should use:
‘conda activate tensorflow’ / ‘conda deactivate’
I faced the same issue and tried all the solutions that folks suggested here and other links (like Platform not supported for TensorFlow on Ubuntu 14.04.2).
It was so frustrating because using print(wheel.pep425tags.get_supported()) I could see that my Ubuntu supported ('cp37', 'cp37m', 'linux_x86_64') and that was exactly what I was trying to install (from https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl).
What at the end fixed it was to simply download the package first and then
pip install tensorflow-1.14.0-cp37-cp37m-linux_x86_64.whl
It means that the version of your default Python interpreter (python -V) and the version of your default pip (pip -V) do not match. You have built TensorFlow with your default Python interpreter and trying to use a different pip version to install it.
In Mac, delete /usr/local/bin/pip and rename (copy) pipx.y (whatever x.y version that matches your Python version) to pip in that folder.
This worked for me.
system requirement Python 3.7–3.10
macOS 10.12.6 (Sierra) or later (no GPU support)
pip install tensorflow-macos
I'm on OSX, and I installed IDLE for Python 3.4. However, in Terminal my python -V and pip --version are both Python 2.7.
How do I fix this? I really have no idea how any of this works, so please bear with my lack of knowledge.
When you install Python3, you can use python3 to run python programs(or use a shebang). Python 3 also install pip. If you find your Python3 installed version of pip try to alias the pip command to the newer pip. Check this out for more info:
How to install pip for Python 3 on Mac OS X?
Try python3 or python3.4. It should print out the right version if correctly installed.
Python 3.4 already has pip with it. You can use python3 -m pip to access pip. Or python3 -m ensurepip to make sure that it's correctly installed.
I have found that making the 'python' alias replace the default version of python that the system comes with is a bad idea.
When you install a new version of python (3.4 for instance),
these two new commands are installed, specifically for the version you installed:
pip3.4
python3.4
If you're using an IDE that wants you to indicate which python version you are using the IDE will let you navigate to it in the Library folder
pip will still be for python2.7 after you download some other python version, as I think that's the current version osx comes installed with
I'm having serious difficulty installing Scipy with pip on Mountain Lion.
I've tried:
sudo pip install -e git+https://github.com/scipy/scipy#egg=scipy-dev
As suggested in various places on the web.
This leads to errors like:
ld: library not found for -lgcc
lipo: can't figure out the architecture type of: /var/tmp//ccC2HLVs.out
and several warnings (I assume not serious) before the errors.
Does anybody have any suggestions?
Scipy is also available now via a homebrew tap. If you have homebrew installed:
brew tap samueljohn/python
brew install scipy
See more info here: homebrew-python
Pip has difficulties with scipy on OS X in general. It is not trivial to install from the sources, so I advise against it. In OS X you have a few better options:
Scipy superpack, a bunch of precompiled binaries
Enthought Canopy (free or another) has already everything you'll need (numpy, scipy, matplotlib, etc.)
Anaconda, a free scientific python distribution with probably all the packages you'll ever need.
MacPorts, a comprehensive and flexible package manager that allows you to install and maintain a python distribution
Homebrew, another popular package manager for OS X
Here is what worked for me for pip installing matplotlib and scipy inside a virtual environment (Mac OS X 10.9.2 Mavericks):
# See George's answer above
brew update
brew upgrade
brew install gfortran
# See http://www.scipy.org/scipylib/building/macosx.html (the link Nathan Gould posted above)
export CXX=g++-5.1
export CC=gcc-5.1
export FFLAGS=-ff2c
sudo ln -s /usr/bin/gcc /usr/bin/gcc-5.1
sudo ln -s /usr/bin/g++ /usr/bin/g++-5.1
pip install matplotlib
pip install scipy
matplot lib installed quickly, but scipy took a long time.
Just to add to what #Anton I. Sipos said. I had the Enthought package installed but had issues with upgrading it, so I decided to go with a clean install using Homebrew. Unfortunately just performing the tap and install didn't work well for me. So on searching a bit I found an issue on GitHub that samualjohn addressed and worked for me:
brew remove python
rm -rf /Library/Python/2.7/site-packages # it's save to delete this!
brew install python
pip install nose
brew install numpy
brew install scipy
The problem was clearly conflicts in the site-packages that the Enthought uninstall instructions did not cover.
NOTE: I had to install matplotlib with pip.
I had similar issues installing scipy on OSX 10.9 Mavericks as well. What solved it for me is the following:
sudo pip list
was showing numpy, thus I did:
sudo pip install --upgrade numpy
Afterwards
brew list
was showing gfortran. I made sure I had the latest version by
brew update
brew upgrade
but
sudo pip install scipy
was failing with a weird fortran error.
Thus I uninstalled it and reinstalled it
sudo brew install gfortran
sudo brew uninstall gfortran
and to my great surprise
sudo pip install scipy
worked after that.
I recently also had trouble getting scipy to install on a virtualenv. My problem was that gfortran was not seen properly. I used macports sudo port install gcc48 and created a symlink to just gfortran by:
sudo ln -s /opt/local/bin/gfortran-mp-4.8 /opt/local/bin/gfortran
After that, pip install scipy worked without any errors on my virtualenv.
Installing scipy on Mac OS X with pip is possible! You will need the right C and Fortran compilers on your system to set up scipy. This page should help you:
http://www.scipy.org/scipylib/building/macosx.html
Once you have done that, you should be able to install with pip install scipy.
As an additional troubleshooting note, you might need to create a symlink to your compiler so that the setup process can find it. A previous poster #biophetik gave an example of how to do this.
Also, I already had numpy installed in my virtual environment when I installed scipy. I'm not positive whether/how one depends on the other.
On Mavericks the following works (might also work on other versions):
If you haven't already, install pip
sudo easy_install pip
Then install/update scipy
sudo pip install scipy -U
For some reason pip installs scipy to
/Library/Python/2.7/site-packages/
and does not remove the older version in
/System/Library/Frameworks/Python.framework/Versions/2.7//Extras/lib/python/scipy/
So just remove the old version and it works. Print the version number:
python -c "import scipy; print scipy.__version__"
I tryed everything: pip, macports,easy_install,... with Mac OS El Captain. The only thing that worked for me was brew:
$ brew install scipy
After that, it will ask you to follow the instructions bellow:
$ brew link --overwrite numpy
$ mkdir -p /Users/adrieljr/Library/Python/2.7/lib/python/site-packages
$ echo 'import sys; sys.path.insert(1, "/usr/local/lib/python2.7/site-packages")' >> /Users/adrieljr/Library/Python/2.7/lib/python/site-packages/homebrew.pth