Daily aggregation notebook
| Authors: | ${ author.name | nameWithoutCommas } ${ author.organization } ${ author.email } | This resource does not have an author who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. | |
|---|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource. | |
| Resource type: | Composite Resource | ||
| Storage: | The size of this resource is 156.3 KB | ||
| Created: | Jul 20, 2017 at 7:32 p.m. | ||
| Last updated: | Jul 21, 2017 at 4:44 p.m.
|
||
| Citation: | See how to cite this resource |
| Sharing Status: | Public |
|---|---|
| Views: | 1111 |
| Downloads: | 172 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
Python 2 Jupyter notebook that aggregates sub-daily time series observations up to a daily time scale. The code was originally written to aggregate data stored in the sqlite database stored in this resource: https://www.hydroshare.org/resource/9e1b23607ac240588ba50d6b5b9a49b5/
Subject Keywords
Deleting all keywords will set the resource sharing status to private.
Content
This resource contains links to external content. Linked content is
NOT stored in HydroShare, and we can't guarantee its availability, quality, or
security.
How to Cite
Sadler, J. (2017). Daily aggregation notebook, HydroShare, http://www.hydroshare.org/resource/e46c995f38194c41934930a10079042b
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment