Examining Diagnostics Using Intake-ESM and hvPlot

In previous weeks, we have looked at building Intake-ESM catalogs from history files and visualizing CESM output using Holoviews and Datashader, but this week we are putting together a few of those pieces to visualize a comparison between model runs.

One of the first ESDS blog posts looked at building an interactive dashboard to look at plots, using high resolution ocean model output as the dataset. One of the limitations of that approach is that the images are static - we are pulling in pngs, and rending on the page, as opposed to more interactive options. In this example, we will read in data generated from ecgtools, from a directory only accessible via NCAR’s high performance computing center.

The main plotting library used here is hvPlot, which is a “A high-level plotting API for the PyData ecosystem built on HoloViews”. Essentially, it is built on top of key components of the Python visualization stack, such as Holoviews, Datashader, and Bokeh, with a seamless integration with Xarray (check out the

Imports

import ast

import holoviews as hv
import hvplot
import hvplot.xarray
import intake
import matplotlib.pyplot as plt
import panel as pn
import xarray as xr
from distributed import Client
from ncar_jobqueue import NCARCluster

hv.extension('bokeh')
pn.extension()