jupyter-vcdat v2.3.5
jupyter-vcdat
A Jupyter Lab extension that integrates vCDAT features directly in a notebook.
Prerequisites
- JupyterLab
- Installation of conda via Anaconda or Miniconda conda >=4.6.11 (the script will try to update your base installation anyway)
Installation
If you didn't let Anaconda or Miniconda prepend the Anaconda<2 or 3> install location to PATH, make sure conda is in your PATH (for more information see the Anaconda Documentation). Assuming Ananconda is installed in ${HOME}/anaconda:
- export PATH=${HOME}/anaconda/bin:${PATH} # for bash
- setenv PATH ${HOME}/anaconda/bin:${PATH} # for tcsh
Next, clone the jupyter-vcdat github repo:
git clone https://github.com/CDAT/jupyter-vcdat.git
Change into the directory containing the repo and type in the following commands:
#Create the environment
./install_script.sh
# The following two lines of code install tslint if developers want to use it (optional):
# For VSCode:
code --install-extension tslint
# For Atom:
apm install linter-tslint
# For all users, activate the jupyter-vcdat environment and launch the JupyterLab interface
conda activate jupyter-vcdat
jupyter lab
To rebuild the package and the JupyterLab app:
npm run build
jupyter lab build
Sample data
To download sample data, enter the code below within a Jupyter notebook cell and run the cell:
import vcs
import cdms2
import cdat_info
import pkg_resources
vcs_egg_path = pkg_resources.resource_filename(pkg_resources.Requirement.parse("vcs"), "share/vcs")
path = vcs_egg_path+'/sample_files.txt'
cdat_info.download_sample_data_files(path,"sample_data")
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