我有包含以下信息的xarray数据集：
print(ds)
>><xarray.Dataset>
Dimensions: (lat: 90, lon: 720, time: 1200)
Coordinates:
* lon array([-90. , -89.057592, -88.115183, -87.172775, -86.230366, -85.287958,
-84.34555 , -83.403141, -82.460733, -81.518325, -80.575916, -79.633508,
-78.691099, -77.748691, -76.806283, -75.863874, -74.921466, -73.979058,
-73.036649, -72.094241, -71.151832, -70.209424, -69.267016, -68.324607,
-67.382199, -66.439791, -65.497382, -64.554974, -63.612565, -62.670157,
-61.727749, -60.78534 , -59.842932, -58.900524, -57.958115, -57.015707,
-56.073298, -55.13089 , -54.188482, -53.246073, -52.303665, -51.361257,
-50.418848, -49.47644 , -48.534031, -47.591623, -46.649215, -45.706806,
-44.764398, -43.82199 , -42.879581, -41.937173, -40.994764, -40.052356,
-39.109948, -38.167539, -37.225131, -36.282723, -35.340314, -34.397906,
-33.455497, -32.513089, -31.570681, -30.628272, -29.685864, -28.743455,
-27.801047, -26.858639, -25.91623 , -24.973822, -24.031414, -23.089005,
-22.146597, -21.204188, -20.26178 , -19.319372, -18.376963, -17.434555,
-16.492147, -15.549738, -14.60733 , -13.664921, -12.722513, -11.780105,
-10.837696, -9.895288, -8.95288 , -8.010471, -7.068063, -6.125654,
-5.183246, -4.240838, -3.298429, -2.356021, -1.413613, -0.471204,
0.471204, 1.413613, 2.356021, 3.298429, 4.240838, 5.183246,
6.125654, 7.068063, 8.010471, 8.95288 , 9.895288, 10.837696,
11.780105, 12.722513, 13.664921, 14.60733 , 15.549738, 16.492147,
17.434555, 18.376963, 19.319372, 20.26178 , 21.204188, 22.146597,
23.089005, 24.031414, 24.973822, 25.91623 , 26.858639, 27.801047,
28.743455, 29.685864, 30.628272, 31.570681, 32.513089, 33.455497,
34.397906, 35.340314, 36.282723, 37.225131, 38.167539, 39.109948,
40.052356, 40.994764, 41.937173, 42.879581, 43.82199 , 44.764398,
45.706806, 46.649215, 47.591623, 48.534031, 49.47644 , 50.418848,
51.361257, 52.303665, 53.246073, 54.188482, 55.13089 , 56.073298,
57.015707, 57.958115, 58.900524, 59.842932, 60.78534 , 61.727749,
62.670157, 63.612565, 64.554974, 65.497382, 66.439791, 67.382199,
68.324607, 69.267016, 70.209424, 71.151832, 72.094241, 73.036649,
73.979058, 74.921466, 75.863874, 76.806283, 77.748691, 78.691099,
79.633508, 80.575916, 81.518325, 82.460733, 83.403141, 84.34555 ,
85.287958, 86.230366, 87.172775, 88.115183, 89.057592, 90. ])
* lat array([ 0. , 1.25, 2.5 , ..., 356.25, 357.5 , 358.75])
* time array([cftime.DatetimeNoLeap(0001-01-15 12:00:00),
cftime.DatetimeNoLeap(0001-02-14 00:00:00),
cftime.DatetimeNoLeap(0001-03-15 12:00:00), ...,
cftime.DatetimeNoLeap(1200-10-15 12:00:00),
cftime.DatetimeNoLeap(1200-11-15 00:00:00),
cftime.DatetimeNoLeap(1200-12-15 12:00:00)], dtype=object)
Data variables:
tas (time, lat, lon) float32 ...
现在我想要特定日期的tas值，所以我列出了这样一个列表：
[array(cftime.DatetimeNoLeap(0500-01-14 00:00:00), dtype=object),
array(cftime.DatetimeNoLeap(0341-01-14 00:00:00), dtype=object),
array(cftime.DatetimeNoLeap(1147-01-14 00:00:00), dtype=object),
array(cftime.DatetimeNoLeap(0943-01-14 00:00:00), dtype=object),
array(cftime.DatetimeNoLeap(0011-01-14 00:00:00), dtype=object),
array(cftime.DatetimeNoLeap(0359-01-14 00:00:00), dtype=object),
array(cftime.DatetimeNoLeap(0705-01-14 00:00:00), dtype=object),
array(cftime.DatetimeNoLeap(0494-01-14 00:00:00), dtype=object),
array(cftime.DatetimeNoLeap(0204-01-14 00:00:00), dtype=object),
array(cftime.DatetimeNoLeap(0127-01-14 00:00:00), dtype=object),
array(cftime.DatetimeNoLeap(0386-01-14 00:00:00), dtype=object)]
然后尝试使用这样的sel语句：
ds.sel(time = dates)
但它不起作用。有人能告诉我如何选择这样具体的日期吗。
这种方法适用于我的时间为datetime64格式的情况。
它看起来像是数组中列表中的每个项。您希望每个项目都是该项目。所以你的dates列表应该是这样的：
[cftime.DatetimeNoLeap(0500-01-14 00:00:00),
cftime.DatetimeNoLeap(0341-01-14 00:00:00),
...
这样行吗？