Skip to content

0.1.0

Choose a tag to compare

View all tags
@elehmer elehmer released this 26 Aug 00:00
0.1.0
77ebfe4
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode.

Release Notes – climakitae 0.1.0

climakitae is a python library being developed in tandem with a Jupyter notebook repository, cae-notebooks, for the Cal-Adapt Analytics Engine, an open-source project to enable cloud computing with official State of California downscaled climate projections.

This release represents a new stable beta version of core features, which will be built upon as existing toolkits are updated and new ones are added.

What’s new?

  • Core functions and toolsets are updated to select, subset, retrieve, preview, and export data from an updated catalog of climate projections regionally downscaled for California.

  • Application class was removed, solving issues with unintended shared state

  • Syntax has changed as a result, and code examples in Jupyter notebooks on the Analytics Engine Hub now reflect version 0.1.0:

Activity Before Version 0.1.0
Import the library import climakitae as ck import climakitae as ck
Pull up a GUI to select and subset data from the catalog app = ck.Application
app.select()		 selections = ck.Select()
selections.show()
Print the current state of selections app.selections selections
Retrieve selected data from the catalog(in an xarray format, lazily loaded) my_data = app.retrieve() my_data = selections.retrieve()
Preview the data app.view(my_data) ck.view(my_data)
Force compute, to load data into memory my_data = app.load(my_data) my_data = ck.load(my_data)
Export data to file app.export_as()
app.export(my_data,’filename’)		 ck.export(my_data, ‘filename’,format)

Export

  • geoTIFF is deprecated (for now). netCDF and csv are available formats
  • csv export better handles formatting for multiple types of data
  • export is now a single line, replacing a two-step process of selecting filetype

Toolkits

  • Previous ‘explore’ panels and timeseries tools are unified under the ‘explore’ module
  • Functionality remains the same as immediately prior to this release
  • Future updates introduce more toolkit improvements
  • Required imports and calling syntax have changed:
Activity Before Version 0.1.0
Pull up one of the ‘explore’ toolkits (interactive panel with GUI) app = ck.Application()
app.explore.warming_levels()		 from climakitae.explore import warming_levels
wl = warming_levels()
wl.show()
timeseries toolkit from climakitae import timeseriestools as tst
timeseries = tst.Timeseries(my_data)
timeseries.explore()		 from climakitae.explore import timeseries as tst
timeseries = tst.TimeSeries(my_data)
timeseries.explore()
Assets 2
Loading