Click here to launch an interactive online version of this notebook: nbapp badge

Demonstrate xarray.from_zidv() method

[2]:
%reload_ext ipython_IDV
[4]:
import xarray as xr
xr.from_zidv('http://earthcube.ccs.miami.edu:8080/repository/entry/get/GOM_shredding_event_2006-06-11.zidv?entryid=51b5a9b6-061c-4a50-a397-ec0aa67f81eb')
[4]:
<xarray.Dataset>
Dimensions:      (Depth: 33, Latitude: 278, Longitude: 201, MT: 1, lat: 601, lon: 481)
Coordinates:
  * MT           (MT) datetime64[ns] 2010-01-01
  * Depth        (Depth) float32 5.0 10.0 20.0 30.0 50.0 75.0 100.0 125.0 ...
  * Latitude     (Latitude) float32 19.98216 20.019747 20.057325 20.094894 ...
  * Longitude    (Longitude) float32 -90.0 -89.96002 -89.91998 -89.880005 ...
  * lat          (lat) float32 20.0 20.016666 20.033333 20.05 20.066668 ...
  * lon          (lon) float64 -90.0 -89.98 -89.97 -89.95 -89.93 -89.92 ...
Data variables:
    temperature  (MT, Depth, Latitude, Longitude) float32 ...
    u            (MT, Depth, Latitude, Longitude) float32 ...
    v            (MT, Depth, Latitude, Longitude) float32 ...
    topo         (lat, lon) float32 ...
[ ]: