Troubleshooting
Welcome to the troubleshooting page for pyspi. This section is dedicated to helping you resolve common issues and challenges you might encounter while installing our package. Here, we provide detailed solutions and guidance for a variety of scenarios that new users may face. Our aim is to make your experience with pyspi as smooth and efficient as possible.
Please note that this document is continually updated with new information and solutions. If you encounter a problem that is not covered in this documentation, we encourage you to raise an issue on our GitHub repository. Your feedback is invaluable to us, and we will gladly incorporate new resolutions and updates into this documentation to assist others. We are committed to maintaining a comprehensive and user-friendly troubleshooting guide.
Operating System-Specific Troubleshooting
We have sorted the troubleshooting guide by operating system. Select your operating system to receive relevant troubleshooting advice.
Windows Related Issues
If you are using Windows and you get an error that pyspi cannot locate your system's Octave and/or Java paths, you can manually set these paths prior to importing pyspi:
import os
pathToExecutable = "C:/ProgramFiles/GNU Octave/Octave-8.4.0/mingw64/bin/octave-cli-8.4.0.exe" # change if your octave client is installed elsewhere
pathToJAVA_HOME = "C:/Program Files/Java/jdk-20" # Change if you use a different Java JDK
os.environ['OCTAVE_EXECUTABLE'] = pathToExecutable
os.environ['JAVA_HOME'] = pathToJAVA_HOMEThank you to GitHub user rmzargar for reporting this issue and providing the solution.
A few users have reported encountering this issue during the installation process (particularly those on Windows OS). This appears to be related to a compatibility conflict between Python version 3.9.0 and sktime version 0.8.0. The current workaround is to re-install pyspi (either in a new conda environment or on your system) using python-3.8.0:
$ conda create --name pyspi python=3.8.0
$ conda activate pyspi
# navigate to your pyspi directory
$ pip install .Pandas Int64Index error
A few users have noted the following error when instantiating the Calculator object:
ImportError: cannot import name 'Int64Index' from 'pandas'You can fix this error by manually removing numpy and pandas, and manually reinstalling the below versions with the following code:
pip uninstall numpy
pip uninstall pandas
pip install numpy==1.22
pip install pandas==1.3.3Thank you to GitHub user rmzargar for reporting this issue and providing the solution.
MacOS Related Issues
Java JVM DLL not found
OSError: [Errno 0] JVM DLL not found /Library/Java/JavaVirtualMachines/jdk-19.jdk/Contents/Home/lib/libjli.dylibThis issue is similar to those reported here and here; it can arise from the version of OpenJDK identified as the system default. Some Java versions don't include all of the binary (DLL) files that pyspi looks for. We recommend following this helpful tutorial by Chamika Kasun to install AdoptOpenJDK. In a nutshell, here are the steps you should follow:
Install homebrew if you haven't already
$ /bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"Install jenv as your Java version manager
$ brew install jenvAdd jenv to your shell's configuration file (e.g. .bashrc if you use bash, .zshrc if you use zsh)
$ export PATH="$HOME/.jenv/bin:$PATH"
$ eval "$(jenv init -)"Source your shell's configuration file:
$ source ~/.bashrc # If you use bash; OR
$ source ~/.zshrc # If you use zshConfirm proper installation of jenv
$ jenv doctorEven if this returns some errors, as long as you see jenv is correctly loaded, you're all set. We recommend using AdoptOpenJDK version 11. Note that AdoptOpenJDK has recently transitioned to Eclipse Adoptium, but in some cases, the Adoptium versions might not resolve specific issues. We suggest downloading an older version of AdoptOpenJDK. Here's how you can proceed:
Go to the AdoptOpenJDK GitHub releases page.
Look for the version of AdoptOpenJDK for your OS. For Apple Silicon (M1/M2), the OpenJDK11U-jdk_x64_mac_hotspot_11.0.9.1_1.pkg, while not specifically designed for the Apple ARM architecture, has been found to resolve certain issues.
Follow the installation instructions for your specific operating system to install the JDK. Make note of the location in which the JDK was installed.
Now you will need to add your AdoptOpenJDK path to your jenv environments. First, you can find where your jdk files are installed with the following command:
$ /usr/libexec/java_home -VThis will list all your installed java JDK versions. Locate the one for AdoptOpenJDK version 11 and paste the path:
$ jenv add <path_to_adopt_open_jdk_11>Confirm AdoptOpenJDK version 11 was added to jenv:
$ jenv versionsYou can set AdoptOpenJDK version 11 as your global Java version with the following:
$ jenv global <AdoptOpenJDK version>
$ # example:
$ jenv global 11.0Pandas Int64Index error
A few users have noted the following error when instantiating the Calculator object on MacOS:
ImportError: cannot import name 'Int64Index' from 'pandas'You can fix this error by manually removing numpy and pandas, and manually reinstalling the below versions with the following code:
pip uninstall numpy
pip uninstall pandas
pip install numpy==1.22
pip install pandas==1.3.3Linux Related Issues
Some operating systems/pip versions may be unable to locate pyEDM. In this case, the workaround is to download and install the wheel locally as follows:
Download the wheel file (.whl) from the pyEDM repository for version 1.9.3 (one of the two Linux versions depending on whether you are running i686 or x86_64 architecture).
Install the
wheelpackage if you don't have it already usingpip install wheel.Navigate in your terminal to where you've downloaded the wheel file.
Install the wheel file directly with the command
pip install [file.whl]. For example, that might look likepip install pyEDM-1.9.3.0-cp39-cp39-manylinux2010_x86_64.whl.
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