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
Since yesterday I've had this error when I try to import packages on anaconda :
ImportError: Missing required dependencies ['numpy']
I have tried un-installing Anaconda and Python, switching to Python 2.7 but nothing works it's still the same error, here is the code I get :
Any help is really appreciated thanks !
I had this same issue immediately after upgrading pandas to 0.19.2. I fixed it with the following install/uninstall sequence from the windows cmd line:
pip uninstall pandas -y
pip uninstall numpy -y
pip install pandas
pip install numpy
This also broke my matplotlib install so I uninstalled/installed that as well.
Very odd behavior for a seemingly routine upgrade.
What happens if you try to import numpy?
Have you tried'
pip install --upgrade numpy
pip install --upgrade pandas
I had to install this other package:
sudo apt-get install libatlas-base-dev
Seems like it is a dependency for numpy but the pip or apt-get don't install it automatically for whatever reason.
I had this problem with last version of numpy 1.16.x
Problem resolved with
python3 -m pip uninstall numpy
python3 -m pip install numpy==1.14.0
Did you install miniconda and pandas without dependencies?
Try installing numpy first with conda install numpy or pip install numpy.
If you're on Windows you can get pre-compiled versions of most libraries that require compilation from here.
On Windows 10 Anaconda3-5.3.0-Windows-x86_64 I had the Missing required dependencies ['numpy'] error when running scripts as so, %HOMEPATH%\AppData\Local\Continuum\anaconda3\python.exe pandas_script_foo.py.
In my case the error was caused by missing Anaconda package PATH definitions when running Anaconda python.exe in a windows cmd.exe session. The numpy package is not missing. It just can't be found on the PATH.
The Anaconda installation includes windows shortcuts that give examples of configuring the PATH per script run. See the shortcuts in the %HOMEPATH%\AppData\Roaming\Microsoft\Windows\Start Menu\Programs\Anaconda3 (64-bit) directory for examples.
See the %HOMEPATH%\AppData\Local\Continuum\anaconda3\cwp.py script to see how Anaconda configures PATH.
Below is an example windows BAT file that calls cwp.py to setup PATH, and then run a python script. Its a copy of the commands the Anaconda jupyter-lab shortcut executes.
%HOMEPATH%\AppData\Local\Continuum\anaconda3\python.exe ^
%HOMEPATH%\AppData\Local\Continuum\anaconda3\cwp.py ^
%HOMEPATH%\AppData\Local\Continuum\anaconda3 ^
%HOMEPATH%\AppData\Local\Continuum\anaconda3\python.exe ^
%HOMEPATH%\AppData\Local\Continuum\anaconda3\Scripts\jupyter-lab-script.py
If you need to execute python scripts on Anaconda with the conveniance of running a BAT file, the above BAT file example should do the trick.
The data manipulation capabilities of pandas are built on top of the numpy library. In a way, numpy is a dependency of the pandas library. If you want to use pandas, you have to make sure you also have numpy. When you install pandas using pip, it automatically installs numpy. If it doesn't, try the following
pip install -U numpy pandas
For conda
conda install numpy pandas
I also faced the same issue. It happened to me after I upgraded my numpy library.
It was resolved in my case by upgrading my pandas library as well after upgrading my numpy library using the below command:
pip install --upgrade pandas
Try:
sudo apt-get install libatlas-base-dev
It should work now.
Else, try uninstall and reinstall numpy and pandas.
I had the same issue. It was because I had multiple versions of numpy installed. Remove all versions by repeatedly using:
pip uninstall numpy
Then re-install it with the command:
pip install numpy
First, try to import numpy on it's own, like so:
import numpy as np
I got this message:
ImportError: Something is wrong with the numpy installation. While importing
we detected an older version of numpy in
['/home/michael/.local/lib/python3.6/site-packages/numpy']. One method of
fixing this is to repeatedly uninstall numpy until none is found, then
reinstall this version.
So do what it says, keep uninstalling numpy until there is none, and then reinstall.
This worked for me.
I had the same issue while using Microsoft Visual Code with Python 3.7.3 64-bit('base':conda)as my python interpreter. Before running any code type the following three commands:
C:/ProgramData/Anaconda3/Scripts/activate #activate conda Scripts directory
conda activate base #activate conda
& C:/ProgramData/Anaconda3/python.exe #to run python
I have same problem.
I have got two version of numpy 1.16.6 and 1.15.4, fresh installed pandas did not work correctly.
I fixed it by uninstalling all versions of numpy and pandas and install the last versions.
$ pip uninstall numpy pandas -y
Uninstalling numpy-1.16.6:
Successfully uninstalled numpy-1.16.6
Uninstalling pandas-0.24.2:
Successfully uninstalled pandas-0.24.2
$ pip uninstall numpy pandas -y
Uninstalling numpy-1.15.4:
Successfully uninstalled numpy-1.15.4
Cannot uninstall requirement pandas, not installed
$ pip uninstall numpy pandas -y
Cannot uninstall requirement numpy, not installed
$ pip install numpy pandas
I had the same issue with anaconda package, it got updated.
anaconda {4.3.1 -> custom} ## I am not sure if this was the issue
Hit below command to know
conda list --revisions
what i did is just uninstall pandas with conda and re-install it
conda install pandas
Some new libs may also get installed with it.
It worked for me hope will do the same for you.
Uninstall all pip packages that you're having problems with. Manually remove all site-packages files. If you're using MacPorts, sudo port clean .
Then try reinstalling. Sometimes, there are files that should have been removed, but weren't if the installation was abruptly interrupted or something.
There could be an issue with conflicting versions of the package(s), as well as potentially issues with Pathing. Are you sure you've set the correct Path for your binaries? (/opt/local/bin, /anaconda2/bin, etc.)
Another issue could be some PYTHONPATH that's explicitly looking in the wrong place for the file.
I had a same issue recently with Anaconda with Python 3.7.
I solved this problem by downgrading python version to 3.6:
conda install python=3.6
and then by updating all the packages:
conda update --all
pandas is built on top of numpy so you need to have numpy to use the data manipulation feature, so install numpy first.
pip install numpy
This worked in my anaconda environment, but I do not know why conda does not work. For some reason conda uninstall was not sufficient. This only worked with conda remove.
conda remove pandas
conda remove numpy
conda install pip
pip install pandas
*With help from this answer
This raises the following import warning in python 3.6 and 3.7:
ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__
If you with to ignore this warning (and maybe other ImportWarnings), add the following to your script before importing pandas:
import warnings
warnings.filterwarnings('ignore', category=ImportWarning, module='_bootstrap.py')
In my case even though I was using the above options of uninstall and installing using pip the code was still giving me same errors.
Finally, I created a vritual environment and Installed numpy and pandas using pip in my virtual env. Now the code is running.
Steps: for Anaconda3 - Please change according to your installation type:
[if you dont have virtual env package installed]
$ pip install virtualenv
[from command prompt go to the directory by c:\anadonda3\scripts
[write the following command to use virtual env to create a virtual env for you in your desired location]
$virtualenv c:\anaconda3\envs\my_virtual_env
[once created you will have to activate your virtual env]
$c:\anaconda3\envs\my_virtual_env\scripts activate
[now pip install numpy and pandas and other required packages using pip]
[once installations are done exit from the virtual env]
$c:\anaconda3\envs\my_virtual_env\scripts deactivate
now use the python.exe inside your virtual env folder to run the script and it will run even with python 3.7.
I am using Win10 and Conda, and this issue just append to me when upgrading python 3.7.2-h8c8aaf0_0 --> 3.7.2-h8c8aaf0_2.
I solved it by return to the previous version with
conda install python=3.7.2=h8c8aaf0_0
If you're running your program on PyCharm on Windows, there is a known bug, because PyCharm simply doesn't add env-related paths to PATH.
The issue is fixed in the 2019.1 Early Access Preview (EAP) build.
For me installing the EAP fixed the issue.
nothing worked for me ... except when I found this
I suspect that you have a local file called unittest.py that is getting imported instead of the standard module.
I was trying to upgrade my anaconda 2 with anaconda 3. I tried installing Anaconda3-2018.12-Windows-x86 and Anaconda3-2019.03-Windows-x86_64 on my Windows 10 machine and failed with this error. For me, using Anaconda3-4.4.0-Windows-x86_64 for anaconda 3 worked the trick after trying everything listed in answers here.
I fixed this using Anaconda by going to Environments > base(root), searching for numpy in the installed modules and clicking the tickbox alongside it and choosing > Mark for specific version installation > 1.14.0 (as suggested by another user on this thread). Then clicking Apply. Once it downgraded numpy I stopped getting errors when running py files on the command line.
Throughout this saga, I was still able to use https://pypi.org/project/auto-py-to-exe/ even when I was getting the numpy errors on the command line, but it was a hassle to create an exe every time I wanted to test a change. It's all sorted now. I guess there was a problem with numpy 1.16.4.
Anyway, I hope this helps someone who's using Anaconda as well.
The following worked for me.
Deleted the folders for numpy and pandas together with their contents completely from the site-packages folder. Check depending on whether you are using python2 or python3. Check the exact path as per your machine.
N.B handle with care "rm -rf" command. If you are not sure of what you are doing, please do it manually using any file explorer of your choice!!
rm -rf ~/anaconda2/envs/myenv/lib/pythonX/site-packages/pandas*
rm -rf ~/anaconda2/envs/myenv/lib/pythonX/site-packages/numpy*
Then i installed clean packages for pandas and numpy as usual with
pip install numpy
pip install pandas
I've got the same error recently. Before applying uninstall or install tools, try to update your Jupyter.
How? Go to 'Environments' and type on the Search Packages box 'pandas'. Afterwards, check the version (if that column shows a blue number with a diagonal arrow, it means that your pandas is out of date). Click on 'pandas' and a option will pop up (choose 'Apply' and wait for a couple of minutes to update the package). And then, make a quick test on any notebook to make sure that your Jupyter is running smoothly.
For those who couldn't solve with the above answers:
Ensure that you are running python3 with
$ python version
If not, install python3.
Then change default python to python3 with
$ alias python=python3
Next, close your jupyter lab/notebook environment and re-launch it with default python being python3.
build_exe_options = {"packages": ["os",'pandas','numpy']}
It works.
you are running python 3.7
create environment for python 3.6
python3.6 filename.py
I am using python 3.5 and I am trying to install NumPy but when I try to install from command prompt using command: pip install numpy
I get a whole lot of errors. The main error though seems to be at the end: error: Unable to find vcvarsall.bat
I have also tried downloading the numpy binaries from http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy and installing using command: pip install numpy-1.10.4+mkl-cp35-cp35m-win_amd64.whl
But I get an error that says: numpy-1.10.4+mkl-cp35-cp35m-win_amd64.whl is not a supported wheel on this platform.
Then I found a numpy-1.10.2-win32-superpack-python3.4.exe file here https://sourceforge.net/projects/numpy/files/NumPy/1.10.2/ but when I try to run that I get an error that I require Python version 3.4.
I looked and cannot find an installer for python 3.5.exe, do I need to uninstall python 3.5 and install 3.4 instead? Or is there anyway to install numpy for Python 3.5?
I am using Windows 10/64 bit.
An easy way to obtain numpy, scipy, pandas, ... is to install anaconda.
Anaconda will automatically download and install the latest modules.
https://www.continuum.io/downloads
I hope this will help you along.