Importing Numpy results in error even though Anaconda says it's installed?

Question

I signed up for a statistics udemy course which uses jupyter running the stock numpy package out of anaconda.

Numpy is working when I run python 3.4.4 in pycharm, but it will not work in either anaconda2 nor anaconda3.. this makes no sense because numpy comes stock as part of the anaconda library.

When I try importing numpy in jupyter, running a local instance of a python 2 script, I get this:

Thinking I could sidestep the error using a IDE, I tried pycharm and I got this:

Numpy is part of the anaconda default library which I'm running, so I checked and made sure the numpy package was there via the Anaconda Prompt using 'conda list'...

Why won't it import successfully?

Before I uninstall and reinstall everything, does anyone have any ideas?

Answer 1

try activating you base conda environment before starting jupyter.

>activate root
>jupyter notebook

Answer 2

Yayyyy. I figured it out. So I had several different python versions before I was running python through anaconda/jupyter. As a result, the tethering in-between the additional package libraries to the version of python running was shifty. For example, I may have had numpy working configured to 3.4 but not 2.7..

anyways, to break down the steps I took, I uninstalled all instances of python (both anaconda and normal versions). Then I deleted the old 3.4 libraries from my C drive. Then I installed anaconda 2.7.11 again, tested importing numpy and got the same error. Then I thought to myself, what if the packages are installed separate from the python library and their configuration didn't get reset via the reinstall.. so via the anaconda prompt I typed:

pip uninstall numpy

which removed the package I was having trouble with. and then :

pip install numpy

which downloaded and reset a whole new instance of the package. Then I tested importing numpy in both the anaconda prompt and jupyter = both worked.

I'm very happy that this ended up working out as I can continue on as planned. For anyone else who experiences a similar problem, I would try uninstalling, then reinstalling the problem causing package via pip commands - this step seemed to have the most impact on fixing the problem. Then if that doesn't work proceed to uninstall and reinstall the environments in intervals.

Answer 3

You can try using the following command:

pip install numpy --upgrade

This will uninstall old installed version of numpy and install a new version. This command solved my issue.