PackagesNotFoundError: The following packages are not available from current channels:

I'm somewhat new to Python. I've used it in a bunch of projects, but haven't really needed to stray from its standard setup. I'm trying to install some new packages to get access to functions necessary for a university assignment. When I try to install, I get the following:

(base) C:\Anaconda2\Jupyter>conda install -c python-control -c cyclus slycot control
Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

  - slycot
  - control

Current channels:

  - https://conda.anaconda.org/python-control/win-64
  - https://conda.anaconda.org/python-control/noarch
  - https://conda.anaconda.org/cyclus/win-64

...

And a bunch of other channels similar to that above.

I've been searching for a solution, but haven't found anything substantial. I've seen that it may be a problem with Windows, which is what I'm using it on. Past that I haven't a clue of what is going on.

Keep in mind, I don't really understand how channels and packages work, so any insight on that matter would be great too.

Try adding the conda-forge channel to your list of channels with this command:
conda config --append channels conda-forge. It tells conda to also look on the conda-forge channel when you search for packages. You can then simply install the two packages with conda install slycot control.

Channels are basically servers for people to host packages on and the community-driven conda-forge is usually a good place to start when packages are not available via the standard channels. I checked and both slycot and control seem to be available there.

Have you tried:

pip install <package>

or

conda install -c conda-forge <package>

Thanks, Max S. conda-forge worked for me as well.

scikit-learn on Anaconda-Jupyter Notebook.

Upgrading my scikit-learn from 0.19.1 to 0.19.2 in anaconda installed on Ubuntu on Google VM instance:

Run the following commands in the terminal:

First, check available the packages with versions

conda list    

It will show packages and their installed versions in the output:

scikit-learn              0.19.1           py36hedc7406_0  

Upgrade to 0.19.2 July 2018 release.

conda config --append channels conda-forge
conda install scikit-learn=0.19.2

Now check the version installed correctly or not?

conda list 

Output is:

scikit-learn              0.19.2          py36_blas_openblasha84fab4_201  [blas_openblas]  conda-forge

Note: Don't use pip command if you are using Anaconda or Miniconda

I tried following commands:

!conda update conda 
!pip install -U scikit-learn

It will install the required packages also will show in the conda list but when try to import that package it will not work.

On the website http://scikit-learn.org/stable/install.html it is mentioned as: Warning To upgrade or uninstall scikit-learn installed with Anaconda or conda you should not use the pip.

It may be that your condas channels need a wakeup call... with

conda update --all

For me it worked. More information: https://www.anaconda.com/keeping-anaconda-date/

I was trying to install fancyimpute package for imputation but there was not luck. But when i tried below commands, it got installed: Commands:

conda update conda
conda update anaconda
pip install fancyimpute 

(here i was trying to give command conda install fancyimpute which did't work)

Even i was facing the same problem ,but solved it by

conda install -c conda-forge pysoundfile

while importing it

import soundfile 

Conda itself provides a quite detailed guidance about installing non-conda packages. Details can be found here: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-pkgs.html

The basic idea is to use conda-forge. If it doesn't work, activate the environment and use pip.

If your base conda environment is active...

• in which case "(base)" will most probably show at the start or your terminal command prompt.

... and pip is installed in your base environment ...

• which it is: $ conda list | grep pip

... then install the not-found package simply by $ pip install <packagename>