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• indexing starts at 0: first_field = my_fieldset[0]
• comparison operators work the same, i.e. they return a fieldset of 1s and 0s: smaller = fs1 < fs2
• equality and non-equality operators are == and !=
• Fieldsets can be directly constructed either as empty, or with a path to a GRIB file:
  • f = mv.Fieldset()
  • f = mv.Fieldset(path='test.grib')
    
• concatenation can be done like this:  my_fieldset.append(my_other_fieldset)
• length of a fieldset can be found with the len function: num_fields = len(my_fieldset)
• slicing works: my_fields = fs[0:6:2]
• iteration works: for f in my_fieldset:  #do something
  

Working with Geopoints

Geopoints also work much the same as they do in Macro, but be aware of these points:

• in Macro, we use geo_missing_value to denote missing data values; in Python, we use numpy.nan

Working with dates

There are several differences between the usage of the date object in Macro and the datetime object in Python. You will find a few examples below to compare the various date manipulation techniques used in Macro and Python, respectively.

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