How to download EMSO data with a Jupyter Notebook Widget
The mooda library contains a function for downloading data through the EMSO API. The function is called mooda.from_emso(…) and returns a WaterFrame object. This function can also be called via a Jupyter Notebook Widget.
The widfet creates a form. In this example you want to discharge 10 water temperature values from Observatory 68422. The date period is not specified.
import mooda as md
wf = md.WaterFrame()
gui = md.widget_emso(wf)
gui
Output:
After clicking on ‘Get Data’:
Done
Memory usage: 3.242 KBytes
Parameters:
- TEMP: Parameter without meaning
- Min value: 14.017000198364258
- DEPTH: 600.0
- TIME: 2007-11-09 09:00:00
- Max value: 20.625001907348633
- DEPTH: 1.0
- TIME: 2007-11-09 09:00:00
- Mean value: 16.362000751495362
Now we have the data in the wf variable.
wf
Output:
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