This may be a silly simple question, but I couldn't find an answer in the documentation of Anaconda or elsewhere. I am a bit of a noob when it comes to Python and I am trying to install a package. The problem is generalizable to other packages.
specs
I am working on a macOS Catalina (10.15.5) and using Anaconda as my python environment (python2.7).
problem
I am attempting to install the package pyLDAvis in my python environment, but the package isn't available on Anaconda's environment manager, and pip or conda install isn't working on the Spyder shell. Do pip and conda installs only work on the Anaconda Prompt? The problem is that I have read that the Anaconda Prompt only exists on Windows, and I am on mac. How could I install packages (pip, conda, or else) on Anaconda?
Am I missing something?
Any help or pointers to documentation would be great! Thanks
Assuming you have conda already installed and your shell is properly configured, you can activate the base environment via
conda activate
You can also create a new environment, see manage-environments docs.
For more information than given below, see manage-pkgs docs.
In case of conda, after your environment is activated, you can then install a package via conda install <package name>, e.g. the package numpy
conda install numpy
In case of pip, after your environment is activated, you can then install a package via pip install <package name>, e.g. the package numpy
pip install numpy
I only do this if the package is not available via a conda channel.
If the package is also not available via pip, you can download the source and set the package up your self. Usually the package author describes how to set up his/her package.
Thanks Stefan for the suggestion! I struggled a bit because although conda was "already installed", my shell was indeed not "properly configured." I am writing here my solution because it may be a recurring theme for macOS users and had an easy fix.
Starting with macOS Catalina, macOS uses zsh and not bash as the default shell, and so calling conda on zsh had no effect. The error message was: -zsh: conda: command not found. I solved this by changing the default shell to bash by running the following command: chsh -s /bin/bash.
Now that the shell and conda are properly configured, I managed to use conda activate as you suggested Stefan.
Finally, the package pyLDAvis could not be installed by conda install pyldavis but was installed with pip install pyldavis.
Solved!
Related
I know there are a lot of questions already about confusion between pip and conda, and although the answer here Practical difference between pip and conda comes close to clearing it up for me, it doesn't quite.
I have python2 and python3 installed.
And I have Anaconda Navigator. And in Anaconda Navigator, I can see that I have one Environment called "base(root)".
(1) If I install a package using pip, is that the same as installing using pip3? In other words do both pip and pip3 have a common place where packages get installed?
(2) Similarly if I install a package using Anaconda Navigator, the post referred to above suggests that that package would be installed into the same place if I had installed with pip?
(3) Does pip have the same concept of an "Environment" that conda seems to?
(4) If I am using Visual Studio Code for python dev, do you need to specify an environment where it should look for packages?
Thank you,
Paul
I am stuck on this installation of scikit-image (aka skimage). I tried multiple ways:
Installation from a git hub folder (using the requirements.txt)
Installation from a whl file
Installation with pip install scikit-image
All three trials failed during the import: import skimage
ImportError: cannot import name 'geometry'
It seems that scikit-image has not been built correctly.
Your install of scikit-image appears to be broken.
Try re-installing the package following the instructions at:
https://scikit-image.org/docs/stable/install.html
I went through internet but did not find solutions besides the ones above.
Does anyone went through that before?
One possibility seems to be to pip install with -egg, but I found that for Mac rather than Windows.
EDIT:
Hi everyone, so I found a solution but this is kind of very hard and I still don't understand why it did not work before.
I just:
uninstall anaconda
uninstall python
install python (3.8)
install Anaconda (I have trouble with Spyder now^^)
If you want to code for computer vision/Image processing/machine learning tasks, then it can be done in pycharm with conda environment very easily. There is no need to install python separately to run Anaconda.
First, download and install pycharm. Next, If you use windows then download Anaconda 64 bit python 3.7 version from here,
https://www.anaconda.com/distribution/#windows
You can find some details about managing environment and helpful links here,
How to create some environments for tensorflow in anaconda?
https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html
Create a conda environment first using Anaconda Prompt command line,
conda create -n cvenv python=3.7
Now activate that environment using. By default base is activated.
conda activate cvenv
Next, install the packages you want,
conda install -c conda-forge scikit-learn
conda install -c conda-forge scikit-image
conda install -c conda-forge pillow
conda install -c conda-forge opencv
I use conda-forge packages as they are more recent. Finally, open pycharm and create a new project by selecting existing python interpreter in conda environment. If none exists then select,
Browse > Add Python Interpreter > Conda Environment > Interpreter > Browse > Anaconda3 installation folder > envs folder > cvenv folder > Python.exe
You can test by creating a python file and writing import skimage.
I'm trying to follow this tutorial:
https://learn.microsoft.com/en-us/azure/machine-learning/service/tutorial-data-prep
As part of this I'm trying to do a pip install of azureml as it's not available on conda. However doing a pip install will by default install it to my default python install, and not my conda install.
So I tried following the steps here:
https://conda.io/docs/user-guide/tasks/manage-environments.html#using-pip-in-an-environment
However after following these steps I then launch Jupyter notebook after activating myenv, navigate to the notebook, and try and run:
import azureml.dataprep as dprep
But get the error: ModuleNotFoundError: No module named 'azureml'
Also - I cannot tell if myenv is active in the notebook. The kernel simply says python3.
Be careful, when using pip in anaconda, it is possible that you are mixing pip and pip3.
Run which pip3 to be sure you are using the version that correspond to the virtual environment.
If you are using python3 in the environment, then pip will typically be the correct version to use. Do not use pip3 in that case.
This problem has been documented elsewhere on the web. The problem is that Jupyter notebooks itself only launches in the root environment by default. The simplest solution to getting it to launch for your env (e.g. myenv) is to install Jupyter within your env first. So from the Anaconda command prompt:
activate myenv
pip install jupyter
jupyter
Ps. Use source activate myenv for non-windows machines
Sorry if I am unclear/this is a lame question, still very new to setting up my computer.
So I installed Python using Anaconda for work, and at work there are specific packages that are used internally. I used Anaconda Prompt to install these packages by creating an environment and installing internally used packages. I then check to see if the package is there.
In the Anaconda Prompt...
conda create --name environment_name python = 3.4
activate environment_name
pip install <internal package> --upgrade
pip list
However, when I try to import a package on Spyder, it does not recognize the package. Is there a way for Spyder to run code on an environment that I specify? I would like the environment to run automatically on any file that I run using Spyder, being able to pull the packages that I installed on Anaconda Prompt
I am using Anaconda Python 3.4 on a Windows 7 PC now. Recently I am trying to follow the instruction of the book High Performance Python to learn some profiling skills. To this end I need to use pip install to install several tools. Unfortunately, not all of them support Python 3, and I have to install Python 2.7 now.
Before installing Python 2.7, I would like to know how I should handle with such 2.7/3.4 coexisting system? How do I setup pip so that I could use pip install to install packages for different Python versions separately?
You can create a conda environment via:
conda create --name py27 python=2.7
and use this environment for your work with Python 2.7. Activate it with the command activate py27, going back to your root environment is just activate.
In the py27 environment you can install pip and all other packages you need.
pip is generally located at the Python27\Scripts and/or Python34\Scripts folder. If you wish to invoke pip directly in the command line, these folders should be in your PATH environment variable.
Now I would just rename pip.exe in Python34\Scripts into any other name, for example pip_for_3.exe. That way, when I install packages for Python27, I would just use:
pip install <package name>
and packages for Python34:
pip_for_3 install <package name>
Coexisting Python installations are not a problem, you just have to know which version is invoked every time. See this answer for the same idea.