Public
Edited
Aug 19, 2021
Play through images
images were created from netcdf file using python
dates = {
var date = new Date(2014, 0, 0);
var end = new Date(date);
end.setFullYear(end.getFullYear() + 1);
var array = [];
while (date < end) {
date.setDate(date.getDate() + 1);
array.push(new Date(date));
}
return array;
}
import { Scrubber } from "@mbostock/scrubber"
viewof month = Scrubber(dates, {
delay: 500,
autoplay: false,
loop: true,
format: (m) =>
m.toLocaleString("en", {
year: "numeric",
month: "long",
day: "numeric"
})
})
year = month.toLocaleString(undefined, {
year: "numeric"
// month: "2-digit",
// day: "2-digit"
})
mon = month.toLocaleString(undefined, {
// year: "numeric"
month: "2-digit"
// day: "2-digit"
})
day = month.toLocaleString(undefined, {
// year: "numeric"
// month: "2-digit"
day: "2-digit"
})
date = year + mon + day
dd = "ct5km_ssta_v3.1_" + date + ".png"
FA(`${dd}`).image()
FA = FileAttachment
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.