PadeOpsIO is a tool for loading, visualizing, and analyzing data from PadéOps, an LES and DNS box code.
Aside from standard python library packages, PadeOpsIO requires:
-
numpy -
scipy -
matplotlib -
jinja2 -
xarray
Clone the repo from GitHub. This can be done with:
pip install git+https://github.com/Howland-Lab/padeopsIO.git
Alternatively, for developers, clone the git repository locally and install it with editing enabled (requires pip 22+):
# navigate to the installation directory
cd $install_dir
# clone the repo
git clone -b main https://github.com/Howland-Lab/padeopsIO.git
# then add with pip
pip install -e padeopsIO
The module can be imported into a Python script with:
import padeopsIO as pio
PadeOpsIO is used for visualization and analysis for output data from PadéOps. For more, see the quick start.
Data can be instanteous data:
or time-averaged:
