tensorflow works using python in a virtualenv I created, but tensorflow doesn't work in the same virtualenv with ipython. This is the error I get:
Exception: Versioning for this project requires either an sdist tarball, or access to an upstream git repository. It's also possible that there is a mismatch between the package name in setup.cfg and the argument given to pbr.version.VersionInfo. Project name mock was given, but was not able to be found.
I have tried installing ipython within the virtual environment. This is the message I get:
Requirement already satisfied: ipython in /opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages
If I try to uninstall ipython within the virtual environment. I get this message:
Not uninstalling ipython at /opt/local/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages
Any ideas on how to get this to work? I don't know how to force the install of ipython to be inside the virtual environment. I've tried deleting the virtual environment and making a new one from scratch, but I get the same error.
I think I figured out the problem. pip was pointing to /Library/Frameworks/Python.framework/Versions/3.4/bin/pip
My ipython was pointing to /opt/local/bin/ipython
I re-installed tensorflow within my virtual environment by calling /opt/local/bin/pip-2.7 install --upgrade tensorflow
Now I can use tensorflow within ipython.
Related
I am trying to install tensorflow-text through miniconda in Spyder. I have managed to install other modules in Spyder such as tensorflow itself, pandas, scikit-learn, etc. However, using the same command as all the other installations (with the specific package name replaced by tensorflow-text)
conda install spyder-kernels tensorflow-text -y
I continue to get the same error whenever I try to install tensorflow-text:
PackagesNotFoundError: The following packages are not available from current channels:
- tensorflow-text
followed by a suggestion to search for the package on anaconda.org. As such, I searched for the tensorflow-text package on the anaconda site and found one, albeit for linux, by rocketce. Attempting to run the commands listed under the tensorflow-text installation instructions on that webpage also yielded the same error.
At first, I tried to install tensorflow-text through pip and was able to successfully run the command
pip install -U tensorflow-text==2.10.0
which seemed to install tensorflow-text. But I could not figure out how to access it or if it was correctly installed. Specifically, I am looking to use tensorflow-text in the Spyder IDE. I was able to get tensorflow working in the IDE, but not the specific tensorflow-text.
I am using a Windows 10 system; I could not find anything on the anaconda site for Windows 10. I am rather inexperienced (if you could not already tell from the nature and description of the problem), so patience and clear explanations are appreciated. Thanks in advance!
I installed tensorflow using conda in wsl, and now I'm using it through Jupyter notebook and it's working fine. I also write codes in vscode and then run it through wsl using python3 filename.py and it works fine too.
the problem is when I try to run the code using the 'running' option of vscode and then I get the error ModuleNotFoundError: No module named 'tensorflow' in terminal.
I checked my environments and I only have 'base' environment so the packages should be installed there and I also tried 'conda ...' in vscode terminal and it didn't recognize conda either.
what can be the problem with my vscode?
also I have to say that numpy and matplotlib packages are running fine using vscode itself but tensorflow and some other modules are not identified
You need to create a new virtual environment in anaconda to install Tensorflow and can access the Visual Studio code from the same virtual environment.
Open anaconda prompt and type below code to create virtual environment
conda create -n tf tensorflow
conda activate tf
install TensorFlow in that "tf" virtual environment
pip install tensorflow
launch VS code by selecting the same "tf" virtual environment in anaconda navigator.
Now, type the below code to check if TensorFlow installed successfully in VS code.
import tensorflow as tf
print(tf.__version__)
Likewise, you can install other required packages in the same virtual environment.
pip install <package-name>
I am trying to simply connect to the ibapi (Interactive Brokers API), but I am having some technical troubles with Python 3.7 .
What I did so far:
I installed the latest version for Windows 10 of the API
I ran C:\TWS API\source\pythonclient and run python setup.py install
I got:
ModuleNotFoundError: No module named 'ibapi'
when I try to import it
What I am doing wrong here and how can I fix this simple error?
My flask project is created in a virtual env named Ibconnect ( (IBconnect) C:\Users\Admin\dev\IBconnect> on the command Windows ) and I think that I have to install the python client here but I don't know how to do it.
Please try to use Anaconda - Spyder. In Anaconda prompt (just activates the conda environment) and navigate to the dir C:\TWS API\source\pythonclient and run python setup.py install
I am trying to install keras on an anaconda environment (OSX), because I want to use it with spyder - ipython. To do that I just used pip install keras (I already have tensorflow). After the installation when I call python 2.7 from the terminal, keras works fine. But, when I call python 3.5 or spyder and try to import keras I receive:
No module named 'keras'
I assume the issue might be with the PATHS on my MacBook, because which python returns
/usr/local/bin/python2.7
while which python3.5 (or spyder) returns
/Users/georgiospapadopoulos/anaconda/bin/python3.5
/Users/georgiospapadopoulos/anaconda/bin/spyder
Also, during pip install keras shows that
Requirement already satisfied: keras in /Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages
My ~/.bash_profile contains
# added by Anaconda3 2.4.0 installer
export PATH="/Users/georgiospapadopoulos/anaconda/bin:$PATH"
# added by Anaconda3 4.2.0 installer
export PATH="/Users/georgiospapadopoulos/anaconda/bin:$PATH"
export CUDA_HOME=/usr/local/cuda
export DYLD_LIBRARY_PATH="$DYLD_LIBRARY_PATH:$CUDA_HOME/lib"
export PATH="$CUDA_HOME/bin:$PATH"
# Setting PATH for Python 2.7
# The original version is saved in .bash_profile.pysave
#PATH="/Library/Frameworks/Python.framework/Versions/2.7/bin:${PATH}"
PATH="/usr/local/bin/python:$PATH"
export PATH
You are probably mixing up the virtual environments. The best way to handle this is to create a vertual env in Anaconda - say, neural-net-venv, and then open the terminal for that venv, and install keras and other related modules. Then go back to Anaconda dash and select that venv as active environment to work on. Then select Jupyter and Spyder and run your imports.
Note that you also should not mix your Python versions - if you must work on Py2 and Py3 - create separate virtual environments for both, install keras, theanos/tensorflows separately in these environments, and you should be good to go.
I have run this setup on MacOS and it works like a charm.
For installing keras in Anaconda, the best and hassle free way is just use open the anaconda prompt and then type:
conda install keras
Keras runs on either tensorflow or theano backends. Once the keras install is complete, just open the python shell and type
>>>import keras
If some error is thrown, then there must be some problem with the backend. So just open the anaconda prompt, and type
conda import tensorflow
theano also can be used. Nevertheless tensorflow is the default one.
I wanted to insatll keras on Anaconda, tried the above approach, but it still did not work. Specifically, I started Anaconda Navigator and then opened a Mac OS terminal in the base environment. Then I followed the conda install commands for keras and tensorflow. It worked fine for keras. But with tensorflow, I got the following error message:
Downloading and Extracting Packages
_tflow_select-2.3.0 | 3 KB | ######################################################### | 100%
ChecksumMismatchError: Conda detected a mismatch between the expected content and downloaded content
for url 'https://conda.anaconda.org/Anaconda/osx-64/_tflow_select-2.3.0-mkl.tar.bz2'.
download saved to: /Users/dlin/opt/anaconda3/pkgs/_tflow_select-2.3.0-mkl.tar.bz2
expected sha256: cc155b27e7bf91ec5370ce1fd2d5fceccbf13ac19706229674ba971fa3751446
actual sha256: aad248699de112a7a5ead1695dfdf51b5693c2927303844b29dd7d9138dc95b9
Im trying to deploy a Python3.2 app in my Ubuntu 12.04 server. Everything was fine, until I tried to use Jinja2 as my template system.
Im using virtualenv to use Pyhon3.2 instead of Python2, and I've installed other required libraries such as pymongo or bottle without problem. But now, my app fails because it says
ImportError: No module named jinja2
I've installed jinja2 the same way as I installed pymongo or bottle (using pip in the virtualenv), and they work just fine. If I try to install it again:
./virtualenv/bin/pip-3.2 install jinja2
Requirement already satisfied (use --upgrade to upgrade): jinja2 in /var/www/virtualenv/lib/python3.2/site-packages
Cleaning up...
It says that it is installed. I've tried to uninstall and install again with no luck.
Im trying to run the application using mod_wsgi, and I know it's using the right virtualenv, because I don't get any errors due to Pymongo, Bottle, what are installed using the virtualenv pip.
Any ideas? :(
Jijna is not compatible with Python 3.2. See this