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TL;DR: a package is installed under pip3, but it cannot be found under Python3. Why?
All of this is happening in my anaconda base environemnt:
So I've been struggling with tensorflow and its versions (another post coming up).Turns out version 2.1 is only available at pip and not with conda install. So after upgrading pip3 install --upgrade pip I install pip3 install tensorflow==2.1.0. I open Jupyer-Notebook afterwards, and turns out tensorflow is not installed(running Python3). I check from the terminal first for the version, and then to uninstall tensorflow. It is not installed under pip (as expected) but it is indeed installed under pip3. I also get this message when uninstalling via pip3:
"pip is being invoked by an old script wrapper. This will fail in a future version of pip.
Please see https://github.com/pypa/pip/issues/5599 for advice on fixing the underlying issue.
To avoid this problem you can invoke Python with '-m pip' instead of running pip directly."
which might be related. I was under the impression that pip installs packages for the default python (3.7.4 in my case) but pip3 installs them only for Python3. What am I missing?
Thanks!
a package is installed under pip3, but it cannot be found under Python3. Why?
Because you have many different Pythons. pip doesn't install packages for all Pythons; pip3 doesn't install packages for Python3. They install packages for that particular Pythons they're running under. You cannot expect to install a package with one Python and import it in another eve if they're of the same version.
To see what Python is used with a particular pip see its shebang:
head -1 $(which pip)
head -1 $(which pip3)
If the shebang is #!/usr/bin/env python continue investigating with which python (or which python3).
Finding the Python run python -m site to see where from the packages are imported.
I had Python versions of 2.7 and 3.5. I wanted the install a newer version of Python which is python 3.8. I am using Ubuntu 16.04 and I can not just uninstall Python 3.5 due to the dependencies. So in order to run my scripts, I use python3.8 app.py. No problem so far. But when I want to install new packages via pip:
python3.8 -m pip install pylint
It throws an error:
AttributeError: module 'platform' has no attribute 'linux_distribution'
So far, I tried:
sudo update-alternatives --config python3
and chose python3.8 and run command by starting with python3 but no luck.
Then:
sudo ln -sf /usr/bin/python3.5 /usr/bin/python3
I also tried running the command by starting with python3 but it did not work either.
How can I fix it so that I can install new packages to my new version of Python?
It looks like at least on my Ubuntu 16.04, pip is shared for all Python versions in /usr/lib/python3/dist-packages/pip.
This is what I did to get it working again:
sudo apt remove python3-pip
sudo python3.8 -m easy_install pip
You might want to install the python 3.5 version of pip again with sudo python3.5 -m easy_install pip.
Python 3.8 removed some stuff. I solved my problems with pip (specifically pip install) by installing pip with curl.
What worked for me was downloading get-pip.py and run it with Python 3.8:
cd ~/Downloads
curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
python3.8 get-pip.py
Source: https://pip.pypa.io/en/stable/installing/
The problem is that package.linux_distribution was deprecated starting with Python 3.5(?). and removed altogether for Python 3.8.
Use the distro package instead. This package only works on Linux however.
I ran into this problem after installing OpenCobolIDE on Linux Mint 20, having upgraded Python to the latest level. have submitted a code fix to the OpenCobolIDE author to review and test. I was able to get the IDE to start up and run with this fix.
Essentially the fix uses the distro package if available, otherwise it uses the old platform package. For example:
This code imports distro if available:
import platform
using_distro = False
try:
import distro
using_distro = True
except ImportError:
pass
Then you can test the value of using_distro to determine whether to get the linux distro type from package or distro, for example:
if using_distro:
linux_distro = distro.like()
else:
linux_distro = platform.linux_distribution()[0]
In my case, removing python-pip-whl package helped:
apt-get remove python-pip-whl
It removed also pip and virtualenv, so I had to install them again:
curl https://bootstrap.pypa.io/get-pip.py | python3
pip install virtualenv
Check if your wheels installation is old. I was getting this same error and fixed it with
python3.8 -m pip install --upgrade pip setuptools wheel
Pylint seems to work on python3.8
I recently had this error and it turns out that I had a package called platform at a folder on my path ahead of the standard library and so the interpreter imported that instead. Check your path to what it is that you're actually importing.
If you have this issue when running a docker-compose up command. The solutions above do not work. You should install docker ce (https://www.digitalocean.com/community/tutorials/how-to-install-and-use-docker-on-ubuntu-20-04)
I need to install cv2 for a script that has been written for me. I tried pip install cv2 and pip install open_cv and got the same problem - a warning message from dist.py and complains about zlib being not found. No cv2 installed. I also tried pyopenvc and pip install opencv-python.
So, I went to the opencv site and downloaded the relevant exe. Ran it - generated a heap of subdirectories and a make file and stuff.
What do I do now?
Install opencv-python (which is an unofficial pre-built OpenCV package for Python) by issuing the following command:
pip install opencv-python
run the following command by creating a virtual enviroment using python 3 and run
pip3 install opencv-python
to check it has installed correctly run
python3 -c "import cv2"
In pip package management, there are 4 different OpenCV packages all using the same namespace, cv2. Although they are not officially supported by OpenCV.org, they are commonly used in developers' community. You could install any of them using the following command:
pip install PACKAGE_NAME
where PACKAGE_NAME can be
opencv-python (only contains main modules)
opencv-contrib-python (contains both main and contrib modules)
opencv-python-headless (same as opencv-python but without GUI functionality)
opencv-contrib-python-headless (same as opencv-contrib-python but without GUI functionality)
You should only install one of them depending on your needs. If you accidentally installed multiple of them in the same environment, you can remove them using pip uninstall before installing the correct one again.
For more details, you can refer to the project description of OpenCV on Wheels.
As of 2021, all of these 4 packages are official OpenCV projects. Source: OpenCV Website.
To Install the Current Latest version of OpenCV then use the below commands:
Use this Command:
pip install --upgrade opencv-python
If you're facing problem in above command then try this :
pip install --upgrade opencv-contrib-python
To check the version of installed OpenCV:
import cv2
print(cv2.__version__)
Simply use this for the so far latest version 4.1.0.
pip install opencv-contrib-python==4.1.0.25
For the default version use this:
pip install opencv-contrib-python
If you have a new Raspberry Pi and want to install OpenCV then this tutorial would be a good choice.
For Ubuntu/Linux users:
sudo apt install python3-opencv
As of 10/22/2019, I think the best answer is simply
conda install opencv
It appears opencv is now in the main Anaconda channel.
To see which packages (including opencv) are in the main Anaconda channel go to Anaconda Package Lists and follow the link corresponding to your python version and os version.
Everybody struggles initially while installing OpenCV. OpenCV requires a lot of dependencies in the backend. The best way to start with OpenCV is, install it in a virtual environment. I suggest that you use the Python Anaconda distribution and create a virtual environment using it. Then inside the virtual environment, you can install OpenCV using this command:
conda install -c conda-forge opencv
Please follow the command:
pip install opencv-python
then if you want to use:
import cv2
If it's not worked due to any update, please follow the documentation
Make a virtual enviroment using python3
virtualenv env_name --python="python3"
and run the following command
pip3 install opencv-python
to check it has installed correctly run
python3 -c "import cv2"
To install open_cv you can go to this website or do this,
pip install opencv-contrib-python --upgrade
pip install opencv-python
You can test it by:
C:\> python
>>> import cv2
>>> print(cv2.__version__)
'4.5.1' # your version may be a newer one
You can install opencv the normal way:
pip install opencv-python
If you are getting errors, you can do this:
pip install opencv-python-headless
Open anaconda command prompt and type in below command.
conda install -c conda-forge opencv
Once the 'Solving environment' is done. It will ask to download dependencies. Type 'y'.
It will install all the dependencies and then you are ready to code.
I recommend this for Python 3: Please install it this way with pip
pip3 install opencv-python
This will download and install the latest version of OpenCV.
You could try using below command-
pip install opencv-contrib-python
It will basically download the compatible version. If this command fails, you could upgrade you pip using below command-
python -m pip install –upgrade pip
If you need a pictorial guide, head over to Simple Steps to Install OpenCV in Windows
You can also try installing OpenCV from prebuilt binaries from the official OpenCV site.
->pip install opencv-python you can use this.
But if this code does not working then you can check python version on cmd and anaconda because they are different. So you type command in anaconda prompt and cmd, it will work. You can check this -> pip list
Open terminal
Run the following command
pip install --trusted-host=pypi.org --trusted-host=files.pythonhosted.org opencv-python.
Hope it will work.
Installing cv2 or opencv-python using pip is sometimes a problem. I was having the same problem of installing cv2 with pip. The installation wasn't a problem the problem was to import cv2 after installation. I was getting an Import Error so to fix this i import main from pip to install opencv-python. Try to run the following code in your python file then opencv-python will be installed
from pip._internal import main as install
try:
import cv2
except ImportError as e:
install(["install", "opencv-python"])
finally:
pass
I hope this will help someone
As a reference it might help someone... On Debian system I hard to do the following:
apt-get install -y libsm6 libxext6 libxrender-dev
pip3 install opencv-python
python3 -c "import cv2"
On Ubuntu you can install it for the system Python with
sudo apt install python3-opencv
if you are using Pycharm navigate settings > Project:name > Project interpreter just search the module by name(in this case OpenCV-python) and install it. worked for me
In case you use aarch64 platform with ARM64 cpu - and/or docker
On a development board on ARM64, no python-opencv version were found at all
version: NONE.
I've had to build from source. This allowed to include CUDA support.
In my case it was already available on the board but it wasn't found on the development environment.
If compiling from source is out of reach, there are Dockers
Of course compiling will take some time (few hours on ARM core), but it is worthy process to know as most open source tools can be built this way in case of issues.
I've had this problem in Google Colab, It only worked with this specific package version.
!pip install "opencv-python-headless<4.3"
There are two options-
pip install cv2
or
pip install opencv-python
Hope it helps.
I installed the latest version of Python (3.6.4 64-bit) and the latest version of PyCharm (2017.3.3 64-bit). Then I installed some modules in PyCharm (Numpy, Pandas, etc), but when I tried installing Tensorflow it didn't install, and I got the error message:
Could not find a version that satisfies the requirement TensorFlow (from versions: )
No matching distribution found for TensorFlow.
Then I tried installing TensorFlow from the command prompt and I got the same error message.
I did however successfully install tflearn.
I also installed Python 2.7, but I got the same error message again. I googled the error and tried some of the things which were suggested to other people, but nothing worked (this included installing Flask).
How can I install Tensorflow? Thanks.
The latest requirements for running TensorFlow are documented in the installation documentation.
TensorFlow only supports 64-bit Python
TensorFlow only supports certain versions of Python (for example, Python 3.6 is not supported)
So, if you're using an out-of-range version of Python (older or newer) or a 32-bit version, then you'll need to use a different version.
I installed it successfully by pip install https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.8.0-py3-none-any.whl
There are a few important rules to install Tensorflow:
You have to install Python x64. It doesn't work with x86/32b and it gives the same error as yours.
Python versions later than 3.8 and Python 3.8 requires TensorFlow 2.2 or later. Check for supported Python versions.
For example, for TensorFlow 2.9, you can install Python3.8.6-64bit and it works like a charm. Check the latest information on the website.
if you are using anaconda, python 3.7 is installed by default, so you have to downgrade it to 3.6:
conda install python=3.6
then:
pip install tensorflow
it worked for me in Ubuntu.
I am giving it for Windows
If you are using python-3
Upgrade pip to the latest version using py -m pip install --upgrade pip
Install package using py -m pip install <package-name>
If you are using python-2
Upgrade pip to the latest version using py -2 -m pip install --upgrade pip
Install package using py -2 -m pip install <package-name>
It worked for me
Tensorflow 2.2.0 supports Python3.8
First, make sure to install Python 3.8 64bit. For some reason, the official site defaults to 32bit. Verify this using python -VV (two capital V, not W). Then continue as usual:
python -m pip install --upgrade pip
python -m pip install wheel # not necessary
python -m pip install tensorflow
As usual, make sure you have CUDA 10.1 and CuDNN installed.
Tensorflow isn't available for python 3.8 (as of Dec 4th 2019) according to their documentation page. You will have to downgrade to python 3.7.
I am using python 3.6.8, on ubunu 18.04, for me the solution was to just upgrade pip
pip install --upgrade pip
pip install tensorflow==2.1.0
Uninstalling Python and then reinstalling solved my issue and I was able to successfully install TensorFlow.
Python version is not supported
Uninstall python
https://www.python.org/downloads/release/python-362/
You should check and use the exact version in install page.
https://www.tensorflow.org/install/install_windows
python 3.6.2 or python 3.5.2 solved this issue for me
So here's the message that I got on a M1 Pro while I was executing
python -m pip install tensorflow-macos
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
I then re-installed python from the official source:
https://www.python.org/downloads/macos/
(Yes, as stupid as it seems.)
I then followed the Apple tutorial for Monterey:
https://developer.apple.com/metal/tensorflow-plugin/
Everything was solved by then.
(as of Jan 1st, 2021)
Any over version 3.9.x there is no support for TensorFlow 2. If you are installing packages via pip with 3.9, you simply get a "package doesn't exist" message. After reverting to the latest 3.8.x. Thought I would drop this here, I will update when 3.9.x is working with Tensorflow 2.x
Apple Silicon (M1+ Chip)
If you are using a Mac with an M1 chip or higher, you need to install Tensorflow metal plugin for compatability with your architecture.
Simple installation instructions for Tensor Flow are found on Apple's website: https://developer.apple.com/metal/tensorflow-plugin
Looks like the problem is with Python 3.8. Use Python 3.7 instead. Steps I took to solve this.
Created a python 3.7 environment with conda
List item Installed rasa using pip install rasa within the environment.
Worked for me.
Running this before the tensorflow installation solved it for me:
pip install "pip>=19"
As the tensorflow's system requirements states:
pip 19.0 or later
For version TensorFlow 2.2:
Make sure you have python 3.8
try:
python --version
or
python3 --version
or
py --version
Upgrade the pip of the python which has version 3.8
try:
python3 -m pip install --upgrade pip
or
python -m pip install --upgrade pip
or
py -m pip install --upgrade pip
Install TensorFlow:
try:
python3 -m pip install TensorFlow
or python -m pip install TensorFlow
or py -m pip install TensorFlow
Make sure to run the file with the correct python:
try:
python3 file.py
or python file.py
or py file.py
1.Go to https://www.tensorflow.org/install/pip website and look if the version you are using support the Tensorflow. some latest version does not support Tesnsorflow. until Tensorflow releases its latest version for that Python version.
you must have 64 bit python installed
have latest version of pip installed
pip install --upgrade pip
using pip install tensorflow --user did it for me
I had this problem on my macOS (with M1 Pro) even with the latest 64-bit Python and the latest pip installed. This is how I've solved it. Try to run:
pip install tensorflow-macos
If you will get the error ending like this (like I did)...
...
raise ReadTimeoutError(self._pool, None, "Read timed out.")
pip._vendor.urllib3.exceptions.ReadTimeoutError: HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed out.
...then simply run:
pip install --default-timeout=100 tensorflow-macos
Tensorflow seems to need special versions of tools and libs.
Pip only takes care of python version.
To handle this in a professional way (means it save tremendos time for me and others)
you have to set a special environment for each software like this.
An advanced tool for this is conda.
I installed Tensorflow with this commands:
sudo apt install python3
sudo update-alternatives --install /usr/bin/python python /usr/bin/python3 1
sudo apt install python3-pip
sudo apt-get install curl
curl https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh > Miniconda3-latest-Linux-x86_64.sh
bash Miniconda3-latest-Linux-x86_64.sh
yes
source ~/.bashrc
installs its own phyton etc
nano .bashrc
maybe insert here your proxies etc.
conda create --name your_name python=3
conda activate your_name
conda install -c conda-forge tensorflow
check everything went well
python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
PS: some commands that may be helpful
conda search tensorflow
https://www.tensorflow.org/install/pip
uses virtualenv. Conda is more capable. Miniconda ist sufficient; the full conda
is not necessary
use python version 3.6 or 3.7 but the important thing is you should install the python version of 64-bit.
In case you are using Docker, make sure you have
FROM python:x.y.z
instead of
FROM python:x.y.z-alpine.
This issue also happens with other libraries such as matplotlib(which doesn't support Python > 3.9 for some functions) let's just use COLAB.
Slightly different issue for me but I will still post an answer here. tensorflow package is working, but not tflite-runtime.
pip install --extra-index-url https://google-coral.github.io/py-repo/ tflite-runtime==2.5.0
I solved the same problem with python 3.7 by installing one by one all the packages required
Here are the steps:
Install the package
See the error message:
couldn't find a version that satisfies the requirement -- the name of the module required
Install the module required.
Very often, installation of the required module requires the installation of another module, and another module - a couple of the others and so on.
This way I installed more than 30 packages and it helped. Now I have tensorflow of the latest version in Python 3.7 and didn't have to downgrade the kernel.
OSX: 10.9.5
PyCharm: 4.5
I am working on project in PyCharm IDE, using the 2.7.3 Python interpreter and need to import thepsycopg2 module. I tried to install the module with PyCharm, but it failed and asked me to do it manually:
Image of error message
So I typed that command in the bash shell, the module installed and now it shows up in the project interpreter 2.7.2 but not in 2.7.3 !!!!!
Maybe the pip version is too old? I upgraded pip from the bash shell: pip install --upgrade pip
python 2.7.2 shows version 7.1.0
python 2.7.3 shows version 1.5.6
You should open Preferenes > Project: (projectname) > Project Interpreter.
Choose the interpreter you want from the dropdown. If you have installed Python with Homebrew, as I have, then you maybe want to choose one of the python interpreters from the Cellars to ease usage of other packages you may have installed with Homebrew.
It might simply be that your system doesn't have pip installed, only pip3.
My system only showed me having pip3 not pip.
Use which pip3 and which pip to see if you have either.
I decided to update pip3, first trying pip3 install --upgrade pip3 which, oddly, returned: ERROR: No matching distribution found for pip3
Next, I ran pip3 install --upgrade pip and now PyCharm can install packages from the GUI.
You didn't specify what pip version you have. My guess is that the pip version is too old and PyCharm passing some flag which returns deprecation warning which cause it to fail. Try updating pip: pip install --upgrade pip