I'm having trouble installing packages and using them in Pycharm. I've followed various threads (I'm new to Macs and seem to have tried everything) now I'm stuck.
In this case, I want to use the package xgboost.
I have brew installed, after launching a terminal using Rosetta:
%brew install xgboost
Warning: xgboost 1.3.3 is already installed and up-to-date.
It appears installed OK here:
/opt/homebrew/Cellar/xgboost
I also have Python installed here:
/opt/homebrew/Cellar/python#3.9
But no matter how I configure an Interpreter in Pycharm, I can't seem to get the package recognised.
Where have I gone wrong?
I am very unsure exactly how, but I've got this working.
Following: https://abbasegbeyemi.me/blog/homebrew-python-apple-m1
I changed the order of elements in my path:
export PATH=/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/homebrew/bin
then a new interpreter in Pycharm using:
usr/local/Cellar/Python#3.9/3.9.2_2/bin/python3.9
Now I can install packages just using pip in pycharm and it works.
This has been 6 hours of pain - warning to anyone who isn't well versed in macs, setting up an M1 for python dev was a complete nightmare for me.
Docs: https://xgboost.readthedocs.io/en/latest/build.html
Pre-built binary wheel for Python
If you are planning to use Python, consider installing XGBoost from a pre-built binary wheel, available from Python Package Index (PyPI). You may download and install it by running
# Ensure that you are downloading one of the following:
# * xgboost-{version}-py2.py3-none-manylinux1_x86_64.whl
# * xgboost-{version}-py2.py3-none-win_amd64.whl
pip3 install xgboost
Related
I have installed all libraries we need on this project except ‘’ Cartopy library ‘’ in Pycharm. After some research I thought it might be due to the python version so I tried dowloading the Cartopy Library in about 5 different Python versions and again the Cartopy Library is not installed.
After some more research, I thought of changing the version of Pycharm. I dowload version of 2020 and 2021 of Pycharm. Unfortunately i still got the same error :
“Error occurred when installing package ‘Cartopy”.
enter image description here
I have encountered a similar issue with another package and the problem wasn't in the IDE but the OS which in my case was mac. I had to install an ubuntu in parallel and migrate the whole project there and it ran perfectly.
I suggest you use conda instead of pip and if the issue didn't go away check the compatibility with your OS and if this is the issue you can simply install a virtual machine.
I need to use the sksparse.chomod package however my pycharm does not let me install it as it can't seem to find it.
I found the sksparse package on github and downloaded it but I do not know how to add a package downloaded from the internet into a conda environment. So, my first question would be can you download a package from github and add it to your conda environment, and how do you do this?
As I did not know how to do the above I instead saved the package within my project and thought I could simply import sksparse.cholmod. However, the line in my code that says import sksparse.cholmod as sks has no errors with it, so I assumed that meant this was ok, but when I try to run my file I get this error:
import sksparse.cholmod as sks
ModuleNotFoundError: No module named 'sksparse.cholmod'
If I have downloaded the package into my project why can't it be found, yet there are no errors when importing?
The cholmod file is a pyx file which I've been told should not be a problem.
Please could anyone help, I am reasonably new to python and I am looking for a straight forward solution that won't be time consuming.
It was an issue with windows, I was able to fix this using the instructions on this link
https://github.com/EmJay276/scikit-sparse
We must follow these steps precisely:
(This was tested with a Anaconda 3 installation and Python 3.7)
Install these requirements in order:
'''
conda install -c conda-forge numpy - tested with v1.19.1
conda install -c anaconda scipy - tested with v1.5.0
conda install -c conda-forge cython - tested with v0.29.21
conda install -c conda-forge suitesparse - tested with v5.4.0
'''
Download Microsoft Build Tools for C++ from https://visualstudio.microsoft.com/de/visual-cpp-build-tools/ (tested with 2019, should work with 2015 or newer)
Install Visual Studio Build Tools
Choose Workloads
Check "C++ Buildtools"
Keep standard settings
Run ''' pip install git+https://github.com/EmJay276/scikit-sparse '''
Test ''' from sksparse.cholmod import cholesky '''
Use all the versions stated for numpy etc, however with scipy I installed the latest version and it worked fine.
I'm trying to load an existing azure workspace in RStudio Azure Compute Instance like it's shown in this link: https://azure.github.io/azureml-sdk-for-r/. But, after installing azuremlsdk package when I'm running this code azuremlsdk::install_azureml(). I'm getting this error :
Attempting uninstall: certifi Found existing installation: certifi2016.9.26ERROR: Cannot uninstall 'certifi'. It is a distutilsinstalled project and thus we cannot accurately determine which files belong to it which would lead to only a partial uninstall.Error: Error installing package(s): 'azureml-sdk==1.10.0', 'numpy', 'pandas'
By referring to this link : https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-environments; I tried to fix this error by running conda remove certifi through terminal of that Compute Instance & Jupyter Notebook of that Compute Instance. But, no luck.
Does anyone have any experience in resolving this issue. Please help.
Azure ML has issues with Python versions and its dependency packages, make sure you are using Python package of 3.5 to 3.8 while installing these.
While installing azureml it will search for all the dependency packages and will install all of them, in this process there will be the version issues, like pandas, numpy.. with different pip versions.
From your stack trace looks like the error is happening when we install the packages like pandas numpy etc along with azureml-train-automl-client package so try to install them before hand by checking its versions which are dependent with you python versions packages.
Check the Azure ML documentation for installation of Azure ML Additional packages.
If you investigate them azureml-train-automl requires somes data science packages including pandas, numpy, and scikit-learn.
Kindly follow below commands for conda environment:
pip install azureml-train-automl
pip install --upgrade azureml-train-automl
pip install show azureml-train-automl
It seems that the Python SDK installation conflicts with itself when using Python 3.6 (the default). I was able to install the SDK for Python 3.7:
azuremlsdk::install_azureml(conda_python_version = '3.7')
My tensorflow 2.0.0beta1 runs normally, but I cannot install tensorflow-text using the command pip install tensorflow-text (as described on the tensorflow page). I can find it using pip search tensorflow-text but I am getting an error
ERROR: Could not find a version that satisfies the requirement tensorflow-text (from versions: none)
There are no requirements for this package (i.e. a specific python version).
I am running on windows, using conda, python 3.6.9
Update
The first release candidate of 2.4.0 was published today which features windows wheels for the first time. 2.4.0rc0 on PyPI. Note that only wheels for Python 3.6 and 3.7 are working properly at the moment. Install via e.g.
> py -3.7 -m pip install tensorflow-text==2.4.0rc0
Original answer
At the time of writing this, tensorflow-text is not available for Windows yet.
Windows is something we do wish to add. We've had some difficulties getting a working package though, which is why it is not available yet. The difference between this library and tensorflow-probability is we make use of custom ops written in c++, and building those shared libraries to work well with Tensorflow inside Windows has had issues; plus, the lengthy build times on Windows has made iterating on these issues slow. While the next beta release (this week) will not include Windows, we would like for the next release to include it.
Source.
I went to http://nipy.org/dipy/installation.html and install nibabel, then I when I wanted to install dipy, there where 2 problems:
Wheel was not built
and vcvarshall.bat not found.
What I did ?
Install Setuptools in site-pakcages
download Setuptools-34.3.1-py2.py3-none-any.whl (md5) and save in site-packages
I also try
python setup.py install --compiler=mingw32ç
and
If you get an error saying unable to find vcvarsall.bat then you need to create a file called pydistutils.cfg in notepad and give it the contents
[build]
compiler=mingw32
But setup.py de system it did not find, and I still have vcvarshall.bat not found.
what I need to do?
I am using, Windows 7, Python 3.5.1 and Anaconda 2.5.0 (64 bit)
You will almost certainly find it easier to install third-party packages if you adopt virtual environments. When done correctly you will then not need admin privileges to install packages into virtualenvs. The HitchHikers' Guide to Python contains more information about this.
The vcvarsall.bat is, I believe, a part of the Visual Studio (the Express version is available at no cost) environment. It's required when you are trying to build a compiled Python extension as described in this article. I'm not sure how that will play with mingw.
So, I installed via ANACONDA but , when I go to python, and I want to import dipy it says: No modle named dipy
Solved ! Well I had python 3.5 and dipy has some issues with that version, so I installed Anaconda with python 2.7 , installed visual c++9 and follow the steps on the web !