I have been googling and doing everything I have read about this issue and it seems it will not work and I cant figure it out.
Here is the issue:Tensorflow error
I have made sure that hub is installed and it is:
Tensorflow hub installed
This should be working and it keeps erroring out.
You can try updating tensor flow.
$ pip install --upgrade tensorflow # for Python 2.7
$ pip3 install --upgrade tensorflow # for Python 3.n
This may depend on what code editor you are using and what interoperator or package installer you are using. I think sometimes you might have to uninstall python. I am familiar with anaconda and I have had this problem but upgrading the module most of the time worked.
Its usually because there are multiple instalations or versions of python on the environment.
I'm using Python 3.7 and I recently upgraded to Spyder 4.2.0 from Spyder 4.1.5. Now when I run my code (which was working fine before) I get the following error:
ImportError: Missing optional dependency 'xlrd'. Install xlrd >= 1.0.0 for Excel support Use pip or conda to install xlrd.
So apparently Spyder thinks 'xlrd' ('Excel Reader'?) is not installed. So I went to the Anaconda prompt and tried pip install xlrd, but it replied with
Requirement already satisfied: xlrd in c:\users\michael\anaconda3\lib\site-packages (2.0.1)
I tried uninstalling and reinstalling xlrd anyways, using pip, but it didn't change anything. How do I resolve this error?
Also, I'm not sure if this matters or not, but I originally installed Spyder via Anaconda, whereas now I just downloaded Spyder 4.2.0 by itself, through this link: https://github.com/spyder-ide/spyder/releases.
Also, on the linked github page, it says: "If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment."
I had at first assumed this was meant for people downloading Python/Anaconda for the very first time, but now I'm thinking this applies to a semi newbie at Python such as me? As someone who is not very familiar with how packages and dependencies work, should I be downloading Anaconda every time I want to update Python or Spyder?
Apologies for the (probably) silly newbie question...
This sounds like you needed to re-start Spyder for it to pick up the package you installed.
However, as the author of xlrd, I would suggest you do the following:
Stop Spyder
conda install openpyxl
Start Spyder.
Change your pandas code to be pd.read_excel(..., engine='openpxyl')
Recently, I upgraded to Anaconda3 2020.07 which uses python 3.8. In past versions of anaconda, tensorflow was installed successfully. Tensorflow failed to be installed successfully in this version.
I ran the command below;
conda install tensorflow-gpu
The error message that I received is shown below;
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- tensorflow-gpu -> python[version='3.5.*|3.6.*|3.7.*|>=3.7,<3.8.0a0|>=3.6,<3.7.0a0|>=3.5,<3.6.0a0|>=2.7,<2.8.0a0']
Your python: python=3.8
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with your CUDA driver:
- feature:/win-64::__cuda==11.0=0
Your installed CUDA driver is: 11.0
Is there a conda command with the right parameters to get tensorflow installed successfully?
UPDATE:
TF is now compatible with Python 3.8
Tensorflow is not compatible with Python 3.8. See https://www.tensorflow.org/install/pip
You need to downgrade your python version :
conda install python=3.7
Create an environment with python 3.7 and then activate it:
conda create -n p37env python=3.7
conda activate p37env
And install tensorflow.
This worked for me, and found out the answer from the Anaconda user guide (under how to use a different python version: https://conda.io/projects/conda/en/latest/user-guide/getting-started.html#managing-python )
From the requirement page:
Python 3.8 support requires TensorFlow 2.2 or later.
So there is a verison of Tensorflow compatible with python 3.8.
The problem is that TensorFlow 2.2.0 is not available through conda on Windows, this should be the reason why you get PackagesNotFoundError when running
conda install tensorflow=2.2
EDIT 15/03/21
Tensorflow 2.3.0 is compatible with Windows
i think we have two options here
pip install tensorflow
or we can use another env of anaconda such as like this below
conda create -n tf tensorflow pydotplus jupyter
conda activate tf
Actually you can directly use pip inside anaconda prompt, after I tested it, I found the conda is capable with pypi, first run the anaconda prompt with administrator permission (in windows), then enter "conda update --all" to make sure all the packages are latest, finally enter "pip install tensorflow" to install (the new version of tensorflow already includes tensorflow-gpu).
Then using VS code to open an ipynb and run
import tensorflow as tf
tf.test.gpu_device_name()
everything looks good.
For more info please refer to Anaconda official docs: https://docs.anaconda.com/anaconda/ .
Latest development for tensorflow installation on anaconda.
https://anaconda.org/anaconda/tensorflow
https://anaconda.org/anaconda/tensorflow-gpu
9 days ago, Anaconda uploaded a new tensorflow v2.3 package. Anaconda3 2020.07 (uses python v3.8) users can easily upgrade to tensorflow v2.3 with the following commands;
conda install -c anaconda tensorflow
conda install -c anaconda tensorflow-gpu
I have personally tested that the installation worked successfully.
The other answers for this question have now become obsolete.
Expanding upon William's answer here with more explicit instructions and caveats. Pip is the recommended way to install latest version of tensorflow as per tensorflow's installation instructions -- "While the TensorFlow provided pip package is recommended, a community-supported Anaconda package is available."
Here is the code that uses pip to do the installation in a Conda environment:
conda create -n env_name python=3.8
conda activate env_name
conda install pandas scikit-learn matplotlib notebook ##installing usual Data Science packages that does include numpy and scipy
pip install tensorflow
python -c "import tensorflow as tf;print(tf.__version__)" ##checks tf version
In general, we should be careful while mixing two package managers (conda and pip). So, it is suggested that:
Only after conda has been used to install as many packages as possible
should pip be used to install any remaining software. If modifications
are needed to the environment, it is best to create a new environment
rather than running conda after pip.
For an example, if we would like to install seaborn in the just created env_name environment, we should:
conda create --name cloned_env --clone env_name
conda activate cloned_env
conda install seaborn
Once we check the cloned_env environment is working fine, we can delete the env_name environment.
I was running into the same issue in conda prompt for Python 3.8.5 and fixed it using a Python wheel instead. Here are the steps:
Open conda prompt and install pip if you don't have it already: python -m pip install --upgrade pip
python -m pip install --upgrade https://storage.googleapis.com/tensorflow/windows/gpu/tensorflow_gpu-2.4.0-cp38-cp38-win_amd64.whl
Note: If you need a CPU specific tensorflow, use this wheel: https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow_cpu-2.4.0-cp38-cp38-win_amd64.whl
I just downgraded python to 3.7 as tf is not avialable to 3.8 version also I cannot use virtualenv for code that's why
The only working answer for me is:
conda install -c conda-forge tensorflow
It appears that tensorflow 2.5 on GPU has issues with spyder. So, I made new environment and installed tensorflow gpu as suggested by anaconda. Now I have to use either prompt or jupyter . At least it works
For macos users I suggest create an environment with python 3.7 and install tensorflow there.
You can run these commands too:
conda create -n new_env_name python=3.7
conda activate new_env_name
I had a similar problem in Anaconda Spyder. Here was my solution (In the Anaconda Console):
conda install pip
pip install tensorflow ==2.2.0
I'm working on a data science project and when I import sklearn, I get the following error:
I searched on the Internet and tried to solve it by re-installing the library but it didn't work. I also checked the Windows version and current Python installation, both are 64-bit.
Please help.
I tried updating conda and updated multiple modules like mkl, scipy, sklearn, conda-env etc. using conda instead of pip and it worked.
I have been successfully using PyCharm for my python work.All the packages can be easily installed by going to settings and then project interpreter but tensorflow installation is showing error.In suggestions it asked me to upgrade pip module.But even after that it shows error with following message:
" Could not find a version that satisfies the requirement tensorflow (from versions: ) No matching distribution found for tensorflow"
I am able to install all other packages but error is with tensorflow only.I am using windows.
Please run pip install tensorflow in command line and post the output here. Tensorflow can be installed on Windows but the process is often annoying.
You could also tried anaconda. It is has very nice UI and you could switch between different version.