Tensor flow package installation in PyCharm - python-3.x

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.

Related

Tensorflow is installed and Tensorflow hub is installed still getting error

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.

Importing Tensorflow on Python 3.6, 3.7, 3.8

I have a problem with importing TensorFlow. I have tried multiple versions of Numpy, Python, and TensorFlow and I still get the following error:
struct_pb2.TypeSpecProto.NDARRAY_SPEC
AttributeError: NDARRAY_SPEC
I have tried using conda and pip for installation and neither one works. I have no idea what might be the cause of this problem and it started happening about a week ago before that TensorFlow was working fine!
I believe you are using windows, and you have an incompatible version of tensorflow installed or you are missing a dependency. First make sure you have the following installed correct version of Visual C++ installed for your version of windows.
https://support.microsoft.com/en-us/topic/the-latest-supported-visual-c-downloads-2647da03-1eea-4433-9aff-95f26a218cc0
https://aka.ms/vs/16/release/vc_redist.x64.exe here is the direct link.
If it still doesn't work, enable longpaths,
https://superuser.com/questions/1119883/windows-10-enable-ntfs-long-paths-policy-option-missing
If you are having a clash with other packages, create a new conda environment first if you haven't already, and install tensorflow like this.
conda create -n tfenv
conda activate tfenv
conda install tensorflow
Then try to import tensorflow as tf again.

'xlrd' installed, but getting the error: "Missing optional dependency 'xlrd'..."

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')

ERROR: Could not find a version that satisfies the requirement tensorflow (fro versions: none)

I have MS Server 2012R2x64 and Python3.7 , i have installed needed packages, but when i try install tensorflow, i get sush error
C:\Windows\system32>pip3 install tensorflow
Collecting tensorflow
ERROR: Could not find a version that satisfies the requirement tensorflow (fro
m versions: none)
ERROR: No matching distribution found for tensorflow
I saw many similar topics here, but no one helped me.
This error means that there is no version(distributuon) for my OS,
Why there is no distirbution? because on my Win 8.1 x 64, python 3.7.2 tensorflow was installed very quickly. But on my server there is more RAM, so to perform analysis i need my server.
How to install tensorflow on my server?
In case people are still having this problem, it seems TensorFlow simply stopped hosting certain versions from PyPI. The pip error should now tell you what options are actually available. For example:
$ pip install tensorflow==1.11.0
Collecting tensorflow==1.11.0
ERROR: Could not find a version that satisfies the requirement tensorflow==1.11.0 (from versions: 1.13.0rc1, 1.13.0rc2, 1.13.1, 1.13.2, 1.14.0rc0, 1.14.0rc1, 1.14.0, 2.0.0a0, 2.0.0b0, 2.0.0b1, 2.0.0rc0)
ERROR: No matching distribution found for tensorflow==1.11.0
To install tensorflow normally with pip from a requirements file, you have to use one of the supported versions for example the ones listed above. The closest one for the example would be 1.13.1. However the easiest fix is to change the requirement to tensorflow>=1.11.0, which will install the latest ver 1 distribution, 1.14.0.
Try to follow with these instructions:
Install TensorFlow with pip
In particuar, you can try using this command:
python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-1.12.0-py3-none-any.whl
but if it does not work, additional tips or other URLs can be found under the link above.
I hope I helped.

ERROR in install opencv in my python 3.6.6

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.

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