mooda.from_emso(platform_code, parameters=[], start_time=’‘, end_time=’‘, depth_min=None, depth_max=None, user=’‘, password=’‘, size=10)

Reference

Get a WaterFrame with the data of the EMSO API (api.emso.eu).

Parameters

• user: Login for the EMSO ERIC API (str)
• password: Password for the EMSO ERIC API (str)
• platform_code: Data filtered by platform_code (str)
• parameters: List of parameters to get data (List[str])
• start_time: First date of the measurement (str)
• end_time: Last date of the measurement (str)
• depth_min: Minimum depth of the measurement (float)
• depth_max: Maximum depth of the measurement (float)
• size: Number of values (int)

Returns

wf: WaterFrame

Example

import mooda as md

wf = md.from_emso(platform_code='ANTARES', parameters=['TEMP'],
                  start_time='2013-01-01 00:00:00',
                  end_time='2014-01-01 00:00:00', size=80000)

print(wf)

Output:

Memory usage: 11.776 KBytes
Parameters:
  - TEMP: Parameter without meaning
    - Min value: 13.232633813222249
      - DEPTH: 2193.0
      - TIME: 2013-04-20 00:00:00
    - Max value: 13.358148854188245
      - DEPTH: 2303.0
      - TIME: 2013-07-17 00:00:00
    - Mean value: 13.264398355267707

Return to API reference.