I need to install a python package from pypi
Which are the differences between installing it directly in the conda enviroment using conda pip install, and using conda skeleton to build a conda package from the pypi package, and then add install it to the conda enviroment.
The difference is similar to using Software installer to install packages and apt-get install to install packages in Ubuntu. conda pip transfers whole control to pip for installing the required package whereas, conda skeleton uses functionality of conda itself to do all the necessary work step by step.
Just installed a package through anaconda (conda install graphviz), but ipython wouldn't find it.
I can see a graphviz folder in C:\Users\username\Anaconda\pkgs
But there's nothing in: C:\Users\username\Anaconda\Lib\site-packages
The graphviz conda package is no Python package. It simply puts the graphviz files into your virtual env's Library/ directory. Look e.g. for dot.exe in the Library/bin/ directory.
To install the graphviz Python package, you can use pip:
conda install pip and pip install graphviz.
Always prefer conda packages if they are available over pip packages. Search for the package you need (conda search pkgxy) and then install it (conda install pkgxy). If it is not available, you can always build your own conda packages or you can try anaconda.org for user-built packages.
Update Nov 25, 2018: There exists now a python-graphviz package at Anaconda.org which contains the Python interface for the graphviz tool. Simply install it with conda install python-graphviz.
(Thanks to wedran and g-kaklam for posting this solution and to endolith for notifying me).
Update May 26, 2022: According to the pygraphviz website, the conda-forge channel should be used: conda install -c conda-forge pygraphviz (thanks to ian-thompson)
On conda:
First install
conda install graphviz
Then the python-library for graphviz python-graphviz
gv_python is a dynamically loaded extension for python that provides
access to the graph facilities of graphviz.
conda install python-graphviz
There is also pydot package, which can parse and dump into DOT language, used by GraphViz
conda install pydot
for me the problem was solved by installing another supportive package.
so I installed graphviz package through anaconda
then I failed to import it
after that I installed a second package named python-graphviz also through anaconda
then I succeeded in importing graphviz module into my code
I hope this will help someone :)
You can actually install both packages at the same time. For me:
conda install -c anaconda graphviz python-graphviz
did the trick.
To install graphviz,
conda install -c anaconda graphviz
pip install graphviz
If conda command not found. Follow these:
export PATH=~/anaconda/bin:$PATH
conda --version # to check your conda version
Difference between conda and pip installation,refer this stackoverflow answer
I have followed the following steps and it worked fine for me.
1 . Download and install graphviz-2.38.msi from
https://graphviz.gitlab.io/_pages/Download/Download_windows.html
2 . Set the path variable
(a) Control Panel > System and Security > System > Advanced System Settings > Environment Variables > Path > Edit
(b) add 'C:\Program Files (x86)\Graphviz2.38\bin'
Graphviz is evidently included in Anaconda so as to be used with pydot or pydot-ng (both of which are included in Anaconda). You may want to consider using one of those instead of the 'graphviz' Python module.
For ubuntu users I recommend this way:
sudo apt-get install -y graphviz libgraphviz-dev
Remeber！ If you are using jupyter notebook, please restart it after the installing. That's work for me.
Because the condition before is a static variate as below:
Check if tensorflow is activated in your terminal
first deactivate it using
conda deactivate
then use the command
conda install python-graphviz
and then install
conda install graphviz
this is solution for UBUNTU USERS :) CHEERS :)
This command works officially for python:
conda install -c conda-forge python-graphviz
run this:
conda install python-graphviz
I am using anaconda for the same.
I installed graphviz using conda install graphviz in anaconda prompt.
and then installed pip install graphviz in the same command prompt. It worked for me.
I tried this way and worked for me.
conda install -c anaconda graphviz
pip install graphviz
I want to create a catplot using seaborn package and I know that in order to be able to do that I need the latest version of seaborn(0.9.0). I installed the package for conda using:
conda install seaborn
but it downloaded version 0.8.1.
I therefore installed the version that I want using pip:
pip3 install seaborn==0.9.0
but I keep getting the same error whenever I run my code:
AttributeError: module 'seaborn' has no attribute 'catplot' (attribute that is only available in the latest version).
Can anyone please assist with this?
Apparently conda has not yet integrated seaborn 0.9.0 into it's default channel. You may still try to get it through conda-forge
conda install -c conda-forge seaborn
You can also use pip from within the conda environment in use.
> activate
(base) > python -mpip install seaborn==0.9.0
Current versions of the Anaconda distribution already have seaborn installed, so conda update seaborn will update the package to the currently available version on the default / available conda channel. All packages can be updated with conda update --all.
conda update --name env seaborn will update a specific environment, env in this case.
conda install --name env seaborn will install to a specific environment.
conda update --name env --all will update seaborn and all other packages.
It is not recommended to use pip to install packages that already exist within the conda environment.
I was having seaborn 0.8.0. This worked for me.
sudo -H pip install seaborn==0.9.0
This worked for me:
conda install -c anaconda seaborn
Credit: https://anaconda.org/anaconda/seaborn
If you are going for developmental features of seaborn, try installing direct.
pip install git+https://github.com/mwaskom/seaborn.git#egg=seaborn
After you install a new version restart your Kernel and run your script again.
I have install py-xgboost from anaconda using:
conda install py-xgboost
where it is shown up when I run
conda list
conda env export
But from pip it doesnt show up:
pip freeze
Is there a way to make pip able to 'see' xg-boost that is installed from a conda package? The reason I need this is because I need speedml which has a dependency on xg-boost and speedml is only available to me from pip (the enterprise anaconda repo do not have speedml).
Thanks!!
This can actually be solved by using
--no-deps
as described in this SO question
So for example what I need is speedml but it requires xgboost then I create the conda environment, installed py-xgboostm, and run the following in same conda env.:
pip install speedml --no-dependencies
And afterwards speedml works!
Maybe is a stupid question but I would like to install a python package that is in conda but not in pip. This is the package:
https://wrf-python.readthedocs.io/en/latest/installation.html
I don't have conda installed. My concern is that can conda coexist with pip? In other words, if I install conda and install that package, I would be able to use it with all the packages that I already have installed in pip?
thanks
You can do this by running
conda config --add create_default_packages pip
and pip will be installed in any new environment.
But, the whole point of conda is for it to work better than pip, so I would suggest using conda instead of pip at all times.