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Complete documentation for Metview's Python interface is now available on readthedocs! |
Metview's Python interface provides access to all of Metview's Macro language functions, with automatic translations between data types. Here's an example that shows how to retrieve model and observation data and compute their difference, and the weighted mean value of that difference, both in Macro and in Python.
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| Macro | Python |
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| Code Block |
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| # 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 |
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| Code Block |
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| 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 = dmv.hour(d), ...)
(...) |
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Additional data export features
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