我是Prolog的初学者。我有自定义类型的鸟,鱼,动物。所以问题是我想传递诸如firstLast([owl,chicken,cat,eagle])之类的函数并获得结果为true,因为first和last是相同的数据类型。再举一个例子:
firstLast([dog,owl,shark,eagle,cat]).
> true
firstLast([shark,dog,owl,mouse]).
> false
这是我的基本数据:
bird(eagle).
bird(chicken).
animal(cat).
animal(mouse).
animal(dog).
fish(shark).
fish(wheal).
fish(goldfish).
isSameType(X,Y):-
( bird(X),bird(Y)
; animal(X),animal(Y)
; fish(X),fish(Y)
).
答案 0 :(得分:0)
这应该可以使用last/2:
variable = 'precip'
rank_norm_list = []
# loop through all the months
for mth in range(1, 13):
# select that month
ds_mth = (
ds
.where(ds['time.month'] == mth)
.dropna(dim='time', how='all')
)
# apply the function to that month (here a normalised rank (0-100))
rank_norm_mth = (
(ds_mth.rank(dim='time') - 1) / (ds_mth.time.size - 1.0) * 100.0
)
rank_norm_mth = rank_norm_mth.rename({variable: 'rank_norm'})
rank_norm_list.append(rank_norm_mth)
# after the loop re-combine the DataArrays
rank_norm = xr.merge(rank_norm_list).sortby('time')
Out[]:
<xarray.Dataset>
Dimensions: (lat: 10, lon: 10, time: 108)
Coordinates:
* time (time) datetime64[ns] 2010-01-31 2010-02-28 ... 2018-12-31
* lat (lat) float64 -5.175 -5.125 -5.075 ... -4.825 -4.775 -4.725
* lon (lon) float64 33.52 33.57 33.62 33.67 ... 33.82 33.87 33.92 33.97
Data variables:
rank_norm (time, lat, lon) float64 75.0 75.0 12.5 100.0 ... 87.5 0.0 25.0