I installed Anaconda3 and need to install symfit. Using pip install symfit, the program returns the error: Cannot uninstall sympy. It is a distutils...." It seems symfit requires sympy 1.1.1, but my Anaconda installation already installed sympy 1.3 and the symfit installer objects to that. How can I get around this incompatibility?
Thanks.
One of the solution is to create a new conda environment and try out the installations in that environment to avoid the conflict between different package versions. Tried the same in Centos and it is working fine.
Try out the following steps:
1) Create a conda environment:
conda create -n my_env python=3
2) Activate the environment:
source activate my_env
3) Install the symfit package
pip install symfit
Please note that 'my_env' is the environment name. Hope this solves your issue.
Regards,
Dona
Yes, installing spyder and symfit within the virtual environment worked perfectly and my original problem installing symfit and running my program are solved. A few other commands from the Anaconda prompt I learned working with virtual environments are "where spyder", which locates the various instances that have been installed and "conda info --envs", which lists the virtual environments that have been created. Thanks again.
Related
I am pretty new to python. Just been working through some online tutorials on udemy. I seem to have an issue with pip installing modules.
I've tried reinstalling them.
Upgrading my python version.
In VS I always just get module not found.
If I do it in the cmd prompt this is what I get below.
You are currently working on the base environment of your computer. For safety, you can first create a new virtual environment with
python3 -m venv -n new_env
So that you won't corrupt any default installations. Then, activate it with
source new_env/bin/activate
And update the pip and setuptools with
pip3 install --upgrade pip
pip3 install --upgrade setuptools
Finally, install numpy via
pip3 install numpy
However, I would recommend using Anaconda to build your virtual environment. When you install Anaconda and make sure it is included in the path of your terminal, all you need to type is
conda create -n new_env python=3.7 numpy
and it will automatically build the wheel for numpy. Here, "new_env" is just an example for a virtual environment name, and Python version 3.7 is also an example.
You can then, activate this conda environment by
conda activate new_env
To use this virtual environment, which you built either with "venv" or "conda", you should locate and activate this environment from the project interpreter settings in VS .
Finally, I would also recommend considering Pycharm IDE which can also help you with creating a virtual environment and installing packages in it.
It seems that you already have the packages installed. Using VS, please, be sure that you selected the correct Python interpreter (https://code.visualstudio.com/docs/python/environments)
I want to install Anaconda with Python Version 3.6.5. If I install Anaconda3-5.2.0, It install Python 3.5.1. Where to download the Anaconda with Python 3.6.5. The Big Data Scripts work only with Anaconda Python 3.6.5.
Anaconda Downloads
The Anaconda distribution with Python 3.6.5 was version 5.2.0.1 You can download this from the Anaconda distribution archive. If you do install from this, then make sure to update Conda immediately after installation:
conda update conda
However, I strongly recommend the following alternate solution as better practice.
Miniconda + Anaconda environment
Reasoning
What is installed in the base environment is relatively fixed once installed. Ultimately, you don't want to mess with your base environment, so best practice is to have the latest version there. Fortunately, you don't have to install a full Anaconda distribution, but rather can use a lightweight Miniconda (or Miniforge) distribution and create a secondary environment for the purpose of having an Anaconda Python 3.6.5 distribution. In the long run this will give you better stability.
Steps
Download and install Miniconda or a Miniforge variant. Once that is working...
Create your Anaconda env:
conda create --name my_env -c anaconda python=3.6.5 anaconda=5.2.0
Use your new isolated env:
conda activate my_env
[1] I determined this by running conda create -n foo --dry-run -c anaconda python=3.6.5 anaconda and then examining the version of the anaconda package that Conda ended up with in the solve.
Also try
conda install python=3.6.5
but you may encounter some incompatibility issues with other packages.
Alternatively, you may want to try creating a new environment. From the anaconda prompt, create a custom environment and specify the repository channel to find the version
conda create --name py365 python=3.6.5 --channel conda-forge
Activate the new environment
conda activate py365
However, the activation will not be permanent, and you will need to activate each time you start the anaconda prompt.
In your anaconda prompt, you can manually update your python to the latest version with :
conda update python
In case you are not familiar with it, anaconda prompt is installed to your computer when you install anaconda. Just make a search for it on your computer.
You can refer to this post : How do I upgrade to Python 3.6 with conda?
I'm trying to create a Python 2.7 virtual environment with Anaconda so I can download some packages that are not compatible with Python 3.4. I'm working in Conda version 4.2.13.
When I type the command conda create -n chemistry python=2.7 anaconda the whole thing freezes at the solving package specifications stage.
Does anyone know what causes this or how I can go about fixing it?
Today I faced the same snag. It got fixed after updating my Anaconda Navigator.
Updating your Anaconda Navigator may fix your issue, too.
Try this:
conda create -n chemistry python=2.7
The initial command you use will try to install a package named anaconda. If you want to specify the channel when installing packages,you can add -c <channel>.For example:
conda install -c conda-forge tqdm
Had same issue while I was trying to install some packages. I tried updating python then all seemed working. Try it out
conda install python
I want to work with the python package holopy. Apparently you have to use conda to install it, so I first installed Anaconda 4.2.0 (since I'm using Python 3.5). I opened the virtual environment I normally use and installed holopy as they recommend on the official site:
conda install -c conda-forge holopy
Afterwards, when in the virtual environment I type conda list, holopy shows up. But when I type python3 and then import holopy, it says package not found. It does however work when I leave the virtual environment. I need it in the virtual environment though, how can I do that?
I'm not sure how well anaconda and virtual environments i.e.venv work together. If you're using anaconda anyway then I highly recommend using anaconda environments. Please go through this short tutorial about anaconda environments - you won't regret it.
Why it didn't work for you?
The conda command is available only in the base anaconda environment. So when you run the command - conda insall -c conda-forge holopy, it installed holopy in the base anaconda environment and it won't be available to you in your venv.
After looking at the documentation of holopy it seems probable that when they said virtual environment they actually meant anaconda virtual environment. Therefore the solution is to first create an anaconda virtual environment called holopy-env and then run the command conda install -n holopy-env -c conda-forge holopy.
A better way of doing things with Anaconda
I will also give you a quick and clean example of how to create an environment using anaconda. If you're using Anaconda then it would be wise to use it's environment management tools. Create an environment.yml file with the following contents:
environment.yml using conda-forge/holopy & python 3.6
name: holopy-env # any name for the environment
channels:
- conda-forge
dependencies: # everything under this, installed by conda
- python=3.6
- holopy
- pip: # everything under this, installed by pip
- future
How to install the environment?
conda create --force -f environment.yml
How to activate the environment?
source activate opencv-env
After activating the environment
You should be able to import holopy
Install pip packages using pip install <package>
Install conda packages using conda install -n holopy-env -c CHANNEL <package>
conda is a packaging tool and installer that aims to do more than what pip can do; handle library dependencies outside of the Python packages as well as the Python packages themselves. Conda also creates a virtual environment, like virtualenv does. For creating virtualenv with conda, use the following command:-
conda create -n yourenvname python=x.x anaconda
Use the following to activate the virtualenv in conda
source activate yourenvname
Then, you can install the packages in virtualenv using conda as:-
conda install -n yourenvname [package]
To Deactivate use:-
source deactivate
And to delete a no longer needed virtualenv, use :-
conda remove -n yourenvname -all
I know this is a bit late, but you don't need to use conda to install HoloPy. This is just the least technical option. Otherwise, you need to be able to compile HoloPy's fortran components yourself, which is fairly straightforward on Unix-based systems but complicated on Windows. Instructions can be found in HoloPy's documentation at https://holopy.readthedocs.io/en/latest/users/dev_tutorial.html.
We are also working on putting together a singularity container distribution of HoloPy. Let me know if this is of interest to you and I will make it a priority.
I just started to learn how to use Anaconda to manage packages. I am trying to install tensorflow in conda environment. So first of all, I create an environment by:
conda create -n tensorflow
Then, I source it by:
source activate tensorflow
I can see my prompt changed so I think it is going right.
I notice that it seems that the tensorflow environment is copying from ~/anaconda2/lib/ where I do have my root version python2.7 and tensorflow0.12.0
I installed a new version Python in tensorflow environment by:
conda install python=3.5
Then, I follow the steps to install tensorflow by:
pip install --ignore-installed --upgrade TF_PYTHON_URL
However, when I do conda list, I can only see Python3.5 but not tensorflow1.0. I also failed to import tensorflow when I am in Python.
So I have two questions that really confuse me.
Why does the pip installed tensorflow not show up when I do conda list?
Although I conda install python=3.5 and I can see it from conda list, I am not using python 3.5 when I enter Python directly. It seems still using Python2.7, which comes from my root environment.
I appreciate any tutorial on how anaconda works.
I think your pip install is installing into the global environment instead of
tensorflow. Why don't you try installing by specifying the path? For example pip install --target $HOME/anaconda3/tensorflow tensorflow(Where the first tensorflow is your environment and the second is the actual package).
I just saw the last two questions. So you actually see the tensorflow you installed with pip? I am confused now. Type which pip to see if it is running from the tensorflow environment or the global. You could also try source deactivate before source activate tensorflow just to make sure that you are not using a different environment, then run which python. It should show your new environment.
If you want to create an environment using a specific version of Python (rather than the system default), you can do for example:
conda create --name myCoolEnv python=3.5
and then activate with
source activate myCoolEnv
You can read more about Anaconda environments here.