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Project description
Shapelets Platform
Shapelets Installation
PIP
To install Shapelets using pip, you can install with:
pip install shapelets-platform
.. note::
It’s a good idea to use a virtual environment or a docker to avoid conflicts between libraries installed on your system. If you are not familiar with these methods, you can find instructions below.
If you want want to use the Virtual File System (VFS) feature, you need to install the drivers. You can do it with:
pip install shapelets-platform[vfs-all]
Alert: With the all option, you will install all the drivers. We currently support Azure Blob Storage Gen1 & Gen2, Server Message Block (SMB) and the local filesystem. Other fsspec-compatible protocols will be available soon.
To check if Shapelets is installed, you can execute:
python -c "import shapelets as sh; print(sh.__version__)"
It's a good idea to use a virtual environment or docker image, to avoid conflicts between versions.
Conda Currently, conda installation is not available.
Virtual environment
If you want to install shapelets on a safe environment, you could also create a virtual environment that will help you to safely install shapelets without risking any corruptions. I will show you in the following lines how to do this.
First you want to create a directory
mkdir shapelets_ws
Then you will change directory
cd shapelets_ws
And you will create the virtual environment in the directory
virtualenv venv
Afterward you will activate the virtual environment
source ./venv/bin/activate
Finaly you can use the pip install command to install shapelets in this environment.
Docker
If you want to install Shapelets on a Docker container, we recommend you use our Docker Image, you can download it with:
docker pull shapeletsdev/shapelets-platform:latest
If you wish to install Shapelets on a Docker container, we recommend using our Docker image. You can download it with:
docker run --name shapelets -p 4567:4567 -d -v /[...]:/io shapeletsdev/shapelets-platform:latest
[...] = insert your own directory
This Docker image needs to expose the 4567 port, and we recommend that you create a volume to share your local scripts with the Docker container.
Now open your web browser and try http://localhost:4567
Recommendations
Once you install Shapelets, you are ready to use it. If you want a recommendation about development environments, we recommend you:
- To write and execute code interactively for exploratory data analysis and processing, use notebooks in
JupyterLab <https://jupyter.org/install>_. - To write large scripts for processing data or build DataApps use an IDE, like
Visual Studio Code <https://code.visualstudio.com/>_.
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Hashes for shapelets-platform-2.0.81.tar.gz
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