[Solved] Install only available packages using “conda install –yes –file requirements.txt” without error

While installing packages in requirements.txt using Conda through the following command

conda install --yes --file requirements.txt

If a package in requirements.txt is not available, then it throws a “No package error” such as the one shown below:

Using Anaconda Cloud api site

Fetching package metadata: ….

Error: No packages found in current linux-64 channels matching: nimfa ==1.2.3

You can search for this package on with

anaconda search -t conda nimfa ==1.2.3

Instead of throwing an error, is it possible to change this behavior such that it installs all the available packages in requirements.txt and throws a warning for those that are not available?

I would like this because, the package nimfa which the error says is not available, can be pip installed. So if I can change the behavior of conda install --yes --file requirements.txt to just throw a warning for unavailable packages, I can follow it up with the command pip install -r requirments.txt in .travis.yml so TravisCI attempts to install it from either place where it is available.

Solution #1:

I ended up just iterating over the lines of the file

$ while read requirement; do conda install --yes $requirement; done < requirements.txt

Edit: If you would like to install a package using pip if it is not available through conda, give this a go:

$ while read requirement; do conda install --yes $requirement || pip install $requirement; done < requirements.txt

Edit: If you are using Windows (credit goes to @Clay):

$ FOR /F "delims=~" %f in (requirements.txt) DO conda install --yes "%f" || pip install "%f"

Respondent: Till Hoffmann

Solution #2:

You can do this as mentioned in this

Export to .yml file

conda env export > freeze.yml

To reproduce:

conda env create -f freeze.yml
Respondent: pbms

Solution #3:

For those looking, I used this as @TillHoffmann ‘s solution for the fish shell:

$ while read requirement; conda install --yes $requirement; end < requirements.txt


$ while read requirement; conda install --yes $requirement;or pip install $requirement; end < requirements.txt
Respondent: Yuri-M-Dias

Solution #4:

Pbms’s answer here is the right way to do it, assuming you have an existing environment to copy off of. Conda is fully capable of installing both Conda packages and pip packages, as listed in environment.yml. I wanted to document the whole process in more detail. Note that I am using folder-based environments, which is why I added --prefix [path to environment folder] to most of the commands.

Say you installed an environment for an existing project to a folder called env in the current folder, like this:

conda create --prefix ./env

You’d generate environment.yml for that project’s environment like this:

conda env export --prefix ./env > environment.yml

You’d create a new environment within some other folder by copying environment.yml to there and then running this from there:

conda env create --prefix ./env --file environment.yml

You’d get an already-existing environment to match environment.yml by once again copying environment.yml to there and then running this from there:

conda env update --prefix ./env --file environment.yml --prune

With the environment in question active, you’d verify the state of its packages like this:

conda list

This is an abridged version of what that command might print (note that the pip packages are marked pypi):

# Name                    Version                   Build  Channel
pip                       19.2.2                   py37_0
python                    3.7.4                h5263a28_0
numpy                     1.16.4           py37h19fb1c0_0
pandas                    0.25.1           py37ha925a31_0
pyodbc                    4.0.27           py37ha925a31_0
ibm-db                    3.0.1                    pypi_0    pypi
ibm-db-sa                 0.3.5                    pypi_0    pypi

Finally, this is an abridged version of what environment.yml might look like (note that the pip packages are listed in their own category):

  - pip=19.2.2=py37_0
  - python=3.7.4=h5263a28_0
  - numpy=1.16.4=py37h19fb1c0_0
  - pandas=0.25.1=py37ha925a31_0
  - pyodbc=4.0.27=py37ha925a31_0
  - pip:
    - ibm-db==3.0.1
    - ibm-db-sa==0.3.5

Be aware that using Conda and pip together can cause some heartburn because they can unknowingly blow away each other’s dependencies. You are supposed to install all of your Conda packages first and then all of your pip packages afterward, rather than alternating between the two. If your environment breaks, the official recommendation is to delete and recreate it (from your environment.yml file). For more details, see this guide:

Respondent: MarredCheese

The answers/resolutions are collected from stackoverflow, are licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 .

Most Popular

To Top
India and Pakistan’s steroid-soaked rhetoric over Kashmir will come back to haunt them both clenbuterol australia bossier man pleads guilty for leadership role in anabolic steriod distribution conspiracy