Odbviewer

  odb_filter / odb_geopoints / odb_vectors (python only)

There is 2 ways you can access and visualise your ODB data using Magics

• Using odb_filter to filter your ODB and  odb_geopoints or  odb_vectors  to set-up the information needed by magics to visulise.
  • odb_filter will create a smaller ODB data by applying an SQL request on your input ODB data . The result is a smaller odb with only the few columns needed for visualisation , typically lat/lon/value for Symbol plotting or lat/lon/u/v/value for wind or coloured wind plotting. 
  • odb_geopoints and odb_vectors can be seen as accessors of ODB data, explaining to Magics++ how to interpret the columns.
• Using the ODB python interface to select the needed  columns as arrays, then can them be transformed in numpy arrays, eventually manipulated and passed to Magics for visualisation.
  
  

Gallery:

• Odb Visualisation example
• ODB in Magics