The self describing “Time Series Analysis from a Generic Resource” notebook demonstrates basic time series data analysis using scientific Python libraries such as NumPY. It uses air temperature data that is stored in HydroShare to derive daily aggregated values and store them in a new HydroShare resource.
You can access this notebook by first opening the Jupyter Python Notebook from the Apps library https://apps.hydroshare.org/apps/ or from the “Open with …” button in a HydroShare resource. This second mode is preferable when you open it from a time series type resource so that the app has access to the resource contents. Then click on Basic Time Series Analysis - GenericResource example in the Notebook
Credits, Authors, Contributors and Contacts
Tony Castronova email@example.com