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MacroPythonNotes
numbernumber
stringstring
listlistCan also pass a tuple to Macro, and it will be converted to a Macro list
fieldsetFieldsetLightweight wrapper class in Meview-Python
geopointsGeopointsLightweight wrapper class in Meview-Python
observationsBufrLightweight wrapper class in Meview-Python
netcdfNetCDFLightweight wrapper class in Meview-Python
odbOdbLightweight wrapper class in Meview-Python
tableTableLightweight wrapper class in Meview-Python
vectornumPy array
datedatetimeCan also pass a date or a datetime64 to Macro
definitiondictionary
nilNone

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.

MacroPython


Code Block
languagepy
# Metview Macro



# creating
d = 2000-01-04 09:50:24 
today = date(0)
yesterday = date(-1) 

# arithmetic
d = d + hour(9) + minute(50) + second(24) 


# using an increment of 2 days
for d = 2018-11-01 to 2018-11-10 by 2 do
  (...)
end for 
 



# using an increment of 6 hours
for d = 2018-11-01 to 2018-11-10 by hour(6) do
   x = retrieve(
      date : yymmdd(d),
      time : hhmm(d),
      ...)
   (...)
end for



Code Block
languagepy
import metview as mv
import numpy as np
from datetime import datetime, timedelta

# creating 
d = datetime(2000, 1, 4, 9, 50, 24)
today = datetime.today()
yesterday = datetime.today() - timedelta(1) 

# arithmetic
d = d + timedelta(hours=9, minutes=50, seconds=24) 


# using an increment of 2 days
d0 = datetime(2018,11,1)
d1 = datetime(2018,11,10)
dt = timedelta(days = 2)
for d in np.arange(d0, d1, dt):
    (...)


# using an increment of 6 hours
d0 = datetime(2018, 11, 1)
d1 = datetime(2018, 11, 10)
dt = timedelta(hours = 6)
for d = np.arange(d0, d1, dt):
	x = mv.retrieve(date =d, 
			time = d.hour,
			...)	
	(...)


Additional data export features

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