after following the instruction in http://docs.h2o.ai/h2o/latest-stable/h2o-docs/downloading.html#install-in-python, I was able to install h2o v 3.16.0.2. I was also able to use command line instructions mentioned in the above website and test that it is working.
python
import h2o
h2o.init()
h2o.demo("glm")
However, when I launch anaconda spyder, I am not able to import h2o. How do I link the h2o I have installed and bring it into Spyder python?
Update:
I have already tried {conda install -c anaconda h2o } which is mentioned on Anaconda.org, but that installs older ver 3.10 of h2o and that did not work either.
thanks for your help.
I believe the problem is due to your python environment. When you install Anaconda, you need to use anaconda pip, to ensure that the installed packages are available in conda.
The short answer is you can install the lastest stable version of H2O (3.16.0.2 as of today) using conda via h2oai channel instead of anaconda channel (h2o maintains it's own channel):
conda install -c h2oai h2o
this should solve your issue.
But more generally, the packages will appear in conda if you use anaconda pip. You can check which pip is being used by doing
which pip
and making sure that the path to the pip is within your anaconda distribution; something like /home/<userdir>/anaconda/bin/pip instead of /usr/bin/pip
Same is true also for Python. Try checking if starting Python in terminal points to anaconda Python by doing which python. If that's not the case, than you would need to add the conda installation of Python to your PATH variable. Please refer to conda docs for instructions https://conda.io/docs/user-guide/install/index.html
It would have been helpful if you had included information regarding your operating system in the question.
Related
I'm a little confused with package install in anaconda environment.
I can install my python packagse in the following ways.
open anaconda prompt and do : conda install tensorflow
launch an jupyter notebook from anaconda prompt, choose the default python kernel, and do:
!pip install tensorflow
Can someone tell me what is the difference between these two cases? Where are the python packages installed? What happens when I pip install python packages in default kernel in jupyter notebook?
I was able to install tensorflow in jupyter notebook in default kernel (python3), but trying to import tensorflow give me module note found error. Does anyone know why that happened? What is happening under the hood? Very much appreciate any help to clarification.
pip is the default package manager that ships with python. Conda is also a package manager, but it is third party. Conda was made especially for data science libraries. Libraries installed with conda usually give much better performance than pip. In pip, the packages are stored in python/scripts and conda stores them at /anaconda/pkgs/. As for the module not found error. I would need more information about it, but you can check out this video. I learnt how to install TensorFlow here and would highly recommend it.
I installed Anaconda3 (version 2019.10-Windowsx86_64) on my PC last week. It comes with networkx v2.3, but I would like to upgrade to v2.4, which should be available on Anaconda according to conda search and Anaconda's website.
I first tried the Anaconda navigator, but can't get it to work. It indicates that networkx can be updated. However, when I click Apply the navigator spends a bit of time "solving package specifications" and then gives me the empty pop-up shown below.
I also tried using conda prompt. Using conda install networkx, conda update networkx, conda install -c anaconda networkx does not result in v2.4 being installed. I also tried conda install networkx=2.4, which takes forever and then reports a very long list of package conflicts. I find this confusing because I just installed Anaconda and haven't tampered with any configs yet.
Grateful for any help on understanding what is going on and how I can attempt to fix it!
I also tried conda install networkx=2.4, which takes forever and then reports a very long list of package conflicts.
This is the key here. anaconda comes with many packages pre-installed and some of these might depend on networkx==2.3 since they might not be compatible with the newest version.
What you can do is create a new environment that has the required version of networkx:
conda create -n myenv python=<your desired python version> networkx==2.4
which will create a new environment where you can only install the packages that you need and make sure that networkx==0.24 is satisfied.
You can try this in jupyter notebook in case you are working on jupyter notebook.
!pip install networkx==2.4
I had 2.5 v installed. But something wasn't working and had to degrade it to 2.4 and above method worked.
Try this:
pip install --upgrade networkx
My question is thoroughly based on this question. The big difference is I'm focusing on windows here. The answers/question provided there were for unix distributions.
I've ran Python 2.x for quite a while and have used pip with no problems.
Now I've installed python 3 but when I open the cmd prompt and pip install somemodule it tries to install it for python 2. How can I deal with this situation ?
Both Python's were installed with the Anaconda distribution so I believe both of them come with pip installed. Note: This info come from this question
EDIT:
Found this answer which addresses that issue.
But now when I try to run the command
pip3.5 install pymssql
or
pip-3.5 install pymssql
I get the error pip3.5 is an unknown command.
If I open cmd and type python I receive:
Python 3.5.1 Anaconda 4.0.0
so it shouldn't be a version problem
You will want to make sure you have the correct Anaconda environment activated, which it looks like you have in this case.
conda env list # Display the list of conda environments
In the Windows Command Prompt you should just need to use:
activate py35 # Or whatever your Python 3.5 environment is called. (Mine is root)
pip install pymssql
Instead of pip-3.5.
To install it in another environment (mine is called py27):
activate py27
pip install pymssql
I successfully used this command in both my Python 2.7 and 3.5 Anaconda environments.
To go back to your primary environment (root), just type activate without an environment name after it
I am using the Anaconda python distribution for 64 bit, windows
https://store.continuum.io/cshop/anaconda/
I am now trying to do some genetic search, and tried to install Pyevolve
http://pyevolve.sourceforge.net/
Unfortunately it crapped out saying
"Python 2.6 not found in registry"
I do have Python 2.7.6 through Anaconda. Any way around the issue? Thanks.
I managed it using binstar:
Look for available packages: binstar search -t conda pyevolve (two packages found OpenMDAO/pyevolve and greole/pyevolve)
Ask for details of chosen package: binstar show openmdao/pyevolve (install link given)
Install package: conda install --channel https://conda.anaconda.org/OpenMDAO pyevolve
Enjoy working with pyevolve!
My system: Win8, 64-bit, Python 2.7.8, Anaconda 2.1.0 (32-bit).
Anaconda suggests using "conda" for package management. There are some package not available in its repository. You can try command below:
conda search Pyevolve
Pyevolve seems depend on Python 2.6, you can try conda to setup a new environment in 2.6 version.
I already have Python 2.7 installed but I wanted to try IPython so I installed IPython via Anaconda as recommended on the ipython website (although not sure what the pros/cons of doing this are). Now I would like to use ipdb debugger. I guess I need to make sure it installs underneath the Anaconda version of python rather than the normal python.
How do I install this? In general if I want to install some arbitrary python module under Anaconda how do I do this?
Actually I think in the case of ipdb it's already installed with Anaconda. But in general it appears you can just install stuff via either pip or easy_install as necessary. The key that I was missing is to make sure you are using the pip/easy_install that comes with Anaconda (which are .bat files in the Scripts directory) rather than the system Python's pip/easy_install. So:
Anaconda\Scripts\easy_install somepackage
This will install somepackage in Anaconda\lib\site-packages\ and not in the system python. This appears to work and I can now import somepackage from my anaconda python. This seems to work. It wasn't clear to me from reading Anaconda documentation if everything needed to be in a conda package or not.
This answer seems to support this idea: Installing Anaconda into a Virtual Environment
Generally the first thing to check is whether someone else has already built it for your version of python and uploaded it to anaconda.org:
anaconda search -t conda ipdb
then find a repository with ipdb built for your OS, and try
conda install -c <repository> ipdb
e.g. conda install -c conda-forge ipdb
You might need to try a few different ones to find one built for your version of python. There is a feature request to make this easier.
If that doesn't work, then pip install ipdb will