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import xarray as xr | |
import numpy as np | |
import operator | |
airtemps = xr.tutorial.load_dataset('air_temperature') | |
airtemps = airtemps.sel(time=slice('2013-01-01', '2013-12-31')) | |
airtemps['air'] = airtemps.air - 273.15 | |
air_day = airtemps.resample('1D', 'time', how='mean') | |
meets_condition = (air_day.air > 22) & (air_day.air < 30) | |
warm_days = meets_condition.resample('M', dim='time', how='sum') | |
not_cold = ('air', operator.ge, 23) | |
not_hot = ('air', operator.le, 30) | |
variable, operator_fn, value = not_cold | |
meets_condition = operator_fn(air_day[variable], value) | |
warm_but_possibly_hot_days = meets_condition.resample('M', dim='time', how='sum') | |
comfy_warm = [not_cold, not_hot] | |
all_maps = [fn(air_day[var], val) for var, fn, val in comfy_warm] | |
(all_maps[0] & all_maps[1]).resample('M', dim='time', how='sum') |
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