#Import graphviz jupyter notebook how to
#Import graphviz jupyter notebook install
#Import graphviz jupyter notebook code

#Import graphviz jupyter notebook how to

But you don’t know how to make your console use the same environment? All good, we’ll do it from your Jupyter notebook, but not like the last time you did it.

#Import graphviz jupyter notebook install

install the package with conda install or pip install (if you don’t know what is the difference, quickly go to this guide).Ĭool, cool, cool.make sure your console (temporarily) uses the same python environment as your Jupyter notebook.

#Import graphviz jupyter notebook code

We know how to figure out which environment is running our code so we can do exactly the same in Jupyter notebook.Īha!!! You know which environment Jupyter uses. The kernel running your notebook likely uses a different python environment and definitely does not have all the environment variables set as your console does. It has a concept of a kernel (if you are not familiar with that concept, think about it as python environment registered with Jupyter). Jupyter does not run python the same way your console does. Jupyter kernel you use is not using the same python environment as your console. You installed it in the wrong environment!īut you’re running Jupyter and not the console and how does it all fit together? We’re getting there just now. That is the reason you can’t import the package and you know you installed it. Unless you’ve modified $PYTHONPATH variable (it’s ok if you haven’t heard of it), each of these environments will use a completely separate set of packages. That reveals what environment of python you are currently in.ĭifferent python environment means different sets of packages

So how do I know what environment is currently running? Easy! By running import sys sys.prefix in interactive console. I create and destroy python environments daily. I have multiple environments of python 3.6.3 (yes, all the same version) and they load dynamically depending on the project I am currently working on (thanks to conda). When I call python in my console – python 2.7.10 gets invoked when I call python3, python 3.7.1 is invoked.

Because not all python2 tools are ported to python3, it is possible that your operating system runs both versions without you touching anything.įor example, I have both python 2 and python 3 installed. Not fine like this! It is actually fine and not your fault. You are running multiple environments of python. Once you understand that, you’ll have fewer problems installing and importing packages you need. Let’s build a basic understanding of what’s happening there and what causes your packages missing even after being installed. It’s actually about your machine running multiple python installations (environments). Seeing “ImportError: No module named tensorflow” but you know you installed it? Sometimes you can import packages from the console, but not from the Jupyter notebook? !pip install tensorflow sometimes just does not work?