PyPI has numpy 1.13.3 packages for a month now https://pypi.python.org/pypi/numpy
Anaconda cloud claims to have 1.13 https://anaconda.org/anaconda/numpy
But I just get 1.11.3-py35_0 when I use conda update numpy
My environment: Windows 7 64 bit python 3.5
You could try to install a specific NumPy version. In your case you could use:
$ conda install numpy=1.13
In case of conflicts it will show the conflicting packages.
For example:
$ conda install numpy=1.14
Solving environment: failed
UnsatisfiableError: The following specifications were found to be in conflict:
- blaze -> numba -> numpy[version='>=1.13,<1.14.0a0']
- numpy=1.14
Use "conda info <package>" to see the dependencies for each package.
In this case blaze and numba prevent NumPy from upgrading.
I had the same problem and none of them worked!
So I solved it using command:
pip install --upgrade numpy
Then, when I ls to my site-packages dir, I see it's updated to 1.14.0.
Related
I am new to Linux and trying to install Python 3.6 using Anaconda, given the instructions here.
When I run conda install python==3.6, I get the following:
Solving environment: failed
UnsatisfiableError: The following specifications were found to be in conflict:
- jupyter_contrib_nbextensions -> jupyter_nbextensions_configurator[version='>=0.2.8'] -> python=3.5
- python==3.6
Use "conda info <package>" to see the dependencies for each package.
How do I fix this error? I already have Python 3.5 and I'd like to upgrade to 3.6 .
This seems similar to another question (if you are trying to update an already installed version of anaconda)
One option is to update anaconda using
conda update --all
For more on this look to: How do I update Anaconda?
Also, if you are entering
conda install python==$pythonversion$
It should be
conda install python==3.6
If you are going to Python 3.6 (just checking)
I used to have pytorch working for python 3 on OS X but now I can't get it to install automatically for some reason (I don't want to do from source).
I did:
conda install pytorch torchvision -c pytorch
as the website suggested... then I got a mkl error so I installed it but it still complains about it:
(FTIR_py3) brandomiranda~/home_simulation_research/FTIR/FTIR_proj $ conda install pytorch torchvision -c pytorch
Fetching package metadata ...........
Solving package specifications:
PackageNotFoundError: Package not found: '' Dependencies missing in current osx-64 channels:
- pytorch -> mkl >=2018
- torchvision -> pytorch >=0.3 -> mkl >=2018
You can search for packages on anaconda.org with
anaconda search -t conda mkl
You may need to install the anaconda-client command line client with
conda install anaconda-client
but I do have mkl:
(FTIR_py3) brandomiranda~/home_simulation_research/FTIR/FTIR_proj $ conda install mkl
Fetching package metadata .........
Solving package specifications: .
# All requested packages already installed.
# packages in environment at /Users/brandomiranda/miniconda3/envs/FTIR_py3:
#
mkl 2017.0.3 0
anyone know whats going on? it used to work a few days ago...
longer thread on pytorch forum:
https://discuss.pytorch.org/t/issues-installing-pytorch-for-os-x-with-conda/11496
As suggested in PyTorch forum, I think you should first install MKL. Your error trace also says that MKL is missing in your system. You can install MKL by doing:
$ conda install -c anaconda mkl
After this, install pytorch and torchvision by
$ conda install -c pytorch pytorch torchvision
Update conda first with conda update conda and try again.
It helped in my case.
Disclaimer: I didn't come up with this myself, but rather copied from github issue.
I'm attempting to install cvxopt using Conda (which comes with the Anaconda python distribution), and I received the error message below. Apparently my Anaconda installation is using python 3.6, whereas cvxopt wants python 3.5*. How can I fix this and install cvxopt using Conda?
After typing conda install cvxopt at the Anaconda prompt, the message I received was:
Fetching package metadata ...........
Solving package specifications: .
UnsatisfiableError: The following specifications were found to be in
conflict:
- cvxopt -> python 3.5*
- python 3.6*
Use "conda info < package >" to see the dependencies for each package.
Here's a screenshot of the error message:
It would appear that cvxopt requires Python 3.5. Easiest solution would be to use conda to create a separate environment for python 3.5 and then install cvxopt (and any other desired python packages). For example...
conda create -n cvxopt-env python=3.5 cvxopt numpy scipy matplotlib jupyter
...depending on your operating system you can then activate this environment using either...
source activate cvxopt-env
...or...
activate cvxopt-env
...you can then switch back to your default python install using...
deactivate
...check out the conda docs for more details. In particular the docs for the conda create command.
try
conda install cvxopt=1.1.8
its the new version and only version having support for python3.6
The pymatgen module is supposed to work for Python 2.7.x or 3. Files for both are available (https://anaconda.org/matsci/pymatgen/files). My Python (sys.version) is 2.7.11.
I tried installing with standard: "conda install -c mastic pymatgen", but it returns an error:
"Fetching package metadata ...........
Solving package specifications: .
UnsatisfiableError: The following specifications were found to be in conflict:
- pymatgen -> python 3.6*
- python 3.5*
Use "conda info <package>" to see the dependencies for each package."
It looks like it is trying to install the pymatgen module for Python 3 and I am a version short.
I want to install the 2.7.x compatible version, but can't find instructions on how to force the conda install to do that.
I can't upgrade to 3.6 for other reasons.
Have you tried pip ?
But first install NumPy as they mentioned Here
then use : pip install pymatgen
Restarted from running Miniconda3-latest-MacOSX-x86_64.sh, instead of Miniconda2-latest-MacOSX-x86_64.sh.
Whatever conda you installed, you can create a specific Python 2.7 environment using
conda create --name py27 python=2.7
You should then be able to follow all the steps for Python 2.7 install.
I'm trying to install tensorflow on a windows 7 machine running anaconda python 2.7.13.
C:\>python -V
Python 2.7.13 :: Anaconda 4.3.1 (64-bit)
I start by :
conda create -n tensorflow python=2.7
This prompts me to proceed, I say yes and it installs several packages without issue (all seem to point to a 2.7 version of python).
Next I use :
conda install -c conda-forge tensorflow
Which gives me this error:
UnsatisfiableError: The following specifications were found to be in conflict:
- python 2.7*
- tensorflow -> python 3.5*
Use "conda info <package>" to see the dependencies for each package.
Any suggestions how to fix this?
EDIT: I also tried this:
C:\>pip3 install --upgrade tensorflow
'pip3' is not recognized as an internal or external command,
operable program or batch file.
Next:
pip install --ignore-installed --upgrade https://storage.googleapis.com/tensorflow/windows/cpu/tensorflow-1.1.0-cp35-cp35m-win_amd64.whl
and got this error message:
tensorflow-1.1.0-cp35-cp35m-win_amd64.whl is not a supported wheel on this platf
orm.
Is there a reason you want to use Python 2.7? If you start with:
$ conda create -n tensorflow python=3.6
you should be able to install it how you are trying to, and run the latest release to boot! Otherwise, you might try installing TensorFlow r0.12.1 with pip:
$ source activate tensorflow
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.12.1-cp27-none-linux_x86_64.whl
$ pip install --ignore-installed --upgrade $TF_BINARY_URL
If you need GPU support, replace the export line in the above with:
$ export TF_BINARY_URL=https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-0.12.1-cp27-none-linux_x86_64.whl
I think since TF 1.0.1 came out, pip is the preferred installation method. If I had to guess, they changed the packages available through conda-forge and the newest version does not work with Python 2.7 (or at least that version is not available on conda-forge). I could be wrong, but this should get you there either way.