DOE-Hydro

Dependencies

• Python 3.6.5
• Anaconda: https://docs.anaconda.com/anaconda/install/mac-os, link for setting up Anaconda in macOS
• create a directory inside data/ titled large_files/.
  • Add large datasets, for daily analysis in large_files/ directory.

Conda virtual environment

"Virtual environmets make it easy to cleanly separate different projects and avoid problems with different dependencies and version requiremetns across components."

Using existing environment

• Go to your working directory and clone this repository
• Use the existing environment.yml to create your environment
  • conda env create -f environment.yml
  • This command will install all the dependencies required for your project

Setting up virtual environment from scratch

• conda create -n test-env python=3.6.5 anaconda replace test-env with your own name
• move to your working directory
• run source activate test-env to start the environment
• use conda list --export to list the libraries installed so far in your environment. Similar to pip freeze
  • use conda list --export > requirements.txt to save the packages listed.
  • use conda export env -n envName > envName.yml to share your Conda environment with someone else. Choose your own envName.
• To install packages in this environment, use the following command: conda install -n test-env xarray dask netCDF4 bottleneck