I'm having trouble installing numpy on Ubuntu 18.04 for Python 3.7... here's what I tried:
(venv) root#servername:/path$ pip3.7 install numpy --no-cache-dir
Collecting numpy
Downloading numpy-1.19.5-cp37-cp37m-manylinux2010_x86_64.whl (14.8 MB)
|████████████████████████████████| 14.8 MB 8.6 MB/s
Installing collected packages: numpy
Successfully installed numpy-1.19.5
I get this ImportError:
Original error was: No module named 'numpy.core._multiarray_umath'
... but I've been focusing on this as the probable cause, from that same error message:
* The Python version is: Python3.6 from "/path/venv/bin/python"
... that says Python 3.6, but I'm trying to use Python3.7, and that python is on 3.7:
(venv) root#servername:/path$ /path/venv/bin/python --version
Python 3.7.9
I saw in another answer that upgrading can help, so I tried this - it looks like I'm already on the latest:
(venv) root#servername:/path$ pip install numpy --upgrade
Requirement already satisfied: numpy in ./venv/lib/python3.7/site-packages (1.19.5)
How can I get this working?
This was failing for me while using mod-wsgi with Apache - I had to load mod-wsgi for Python 3.7 instead of the system default of 3.6. The instructions are at https://github.com/GrahamDumpleton/mod_wsgi/issues/467, but in case that goes away:
Using your venv, run "mod_wsgi-express module-config"
Put the resulting load command into your apache's mods-enabled/wsgi.load
Related
Since I'm moving away from pandas DataFrames to TensorFlow datasets, I'd like to use tensorflow-data-validation instead of the more traditional pandas-profiling when it comes to data exploration and validation.
However, pip install tensorflow-data-validation gives the following error:
ERROR: Could not find a version that satisfies the requirement tensorflow-data-validation (from versions: none)
ERROR: No matching distribution found for tensorflow-data-validation
What could be the problem? This old GitHub issue explains how this could be due to the Python version, but Apache Beam (on which tensorflow-data-validation presumably relies) is now fully compatible with Python 3, so it must be something else.
My environment is as follows:
Python 3.9.2
TensorFlow 2.6.0
Debian GNU/Linux 11 (bullseye)
pip 21.3
I got the same error when using Python 3.9. After downgrading to Python 3.8, pip install tensorflow-data-validation ran successfully.
Regarding your comment about Apache Beam, it looks like the Python SDK currently supports Python 3.8 (and earlier) but not yet Python 3.9.
My environment:
Python 3.8.10
TensorFlow 2.8.0
macOS Monterey (12.0.1)
pip 21.1.1
Try this
pip install --upgrade --force-reinstall tensorflow-data-validation[all]
It might be a version compatibility issue with tensorflow==2.6.0.
Try
pip install tensorflow-data-validation==1.3.0
I was able to install the tensorflow_data_validation library successfully, via the below command in my Google Colab file.
!pip install -U tensorflow \
tensorflow-data-validation \
apache-beam[gcp]
I'm trying to install TensorFlow with pip, but it shows me the following output:
pip install tensorflow
Defaulting to user installation because normal site-packages is not writeable
ERROR: Could not find a version that satisfies the requirement tensorflow
ERROR: No matching distribution found for tensorflow
I'm using Python 3.9.1 on Arch Linux.
Python 3.9 is not supported as far as I can tell: https://www.tensorflow.org/install/pip#system-requirements
You would need to use a supported version of the Python interpreter. The current supported interpreters seem to be: Python 3.5–3.8
I just updated the latest MacOS and it wiped everything out.
I follow the steps from this website.
And I start reinstalling the tensorflow with pip3 and it's not installing anything.
I got this error from typing pip3 install --user --upgrade tensorflow .
ERROR: Could not find a version that satisfies the requirement tensorflow (from versions: none)
ERROR: No matching distribution found for tensorflow
FYI, my MacBook is 64-bit.
and
~ pip3 -V
WARNING: 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.
pip 20.2.4 from /Users/zack/Library/Python/3.8/lib/python/site-packages/pip (python 3.8)
~ python3 -V
Python 3.8.2
I don't know what happened does anyone have any ideas.
According to this documentation https://www.tensorflow.org/install/pip#package-location
and your version of python you should run
python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-2.3.0-cp38-cp38-macosx_10_14_x86_64.whl
This is the 3rd step, so check if you got installed correctly the packages from steps 1 and 2
if pip is not up-to-date upgrade pip:
pip install --upgrade pip
then install tensorflow:
pip install tensorflow
for python 3.8 you need to install tensorflow 2.2 or later
system requirements of tensorflow:
Python 3.5–3.8
Python 3.8 support requires TensorFlow 2.2 or later.
pip 19.0 or later (requires manylinux2010 support)
Ubuntu 16.04 or later (64-bit)
macOS 10.12.6 (Sierra) or later (64-bit) (no GPU support)
It's saying:
"ModuleNotFoundError: No module named 'numpy'"
and then when I do "pip install numpy" it says:
Requirement already satisfied: numpy in ./Library/Python/2.7/lib/python/site-packages (1.16.6)"
Probably you are using python 3.X while pip is configured for python 2.X.
Try running pip3 install numpy
Basically you are installing a package for python 2, while running the script with python 3.
I just installed theano, but
import numpy
print numpy.version
here is the output
Theano version 0.7.0.dev-30cc6380863b08a3a90ecbe083ddfb629a56161d
theano is installed in /home/sizhexi/theano/Theano/theano
NumPy version 1.8.2
NumPy is installed in /usr/lib/python2.7/dist-packages/numpy
Python version 2.7.6 (default, Jun 22 2015, 17:58:13) [GCC 4.8.2]
nose version 1.3.1
RuntimeError: module compiled against API version a but this version of numpy is 9
terminate called after throwing an instance of 'std::runtime_error'
what(): numpy failed to initialize
Aborted (core dumped)
how to solve it?
Package management in python is sometimes tricky. To avoid these issues, I recommend using Anaconda which is a good python package and environment manager (download here, and 30 minutes guide).
Follow the official instructions to install Anaconda and chose the default values that will add Anaconda to your $PATH and make Anaconda your default python interpreter. Then open your terminal and use the following commands :
conda install pip six nose numpy scipy
pip install theano
Then try running your script using anaconda.