Python xarray.Dataset 条件索引变量

从ncep下载的hrrr file开始.

读入xarray.数据集个字母，如...

ds: xr.数据集 = xr.open_dataset(file, engine="pynio")

数据集

<xarray.数据集>
Dimensions:                        (ygrid_0: 1059, xgrid_0: 1799, lv_HYBL0: 50,
                                    lv_HTGL1: 2, lv_HTGL2: 2, lv_TMPL3: 2,
                                    lv_SPDL4: 3, lv_HTGL5: 2, lv_HTGL6: 2,
                                    lv_DBLL7: 2, lv_HTGL8: 2, lv_HTGL9: 3)
Coordinates:
  * lv_HTGL6                       (lv_HTGL6) float32 1e+03 4e+03
  * lv_TMPL3                       (lv_TMPL3) float32 253.0 263.0
  * lv_HTGL1                       (lv_HTGL1) float32 10.0 80.0
  * lv_HYBL0                       (lv_HYBL0) float32 1.0 2.0 3.0 ... 49.0 50.0
    gridlat_0                      (ygrid_0, xgrid_0) float32 ...
    gridlon_0                      (ygrid_0, xgrid_0) float32 ...
Dimensions without coordinates: ygrid_0, xgrid_0, lv_HTGL2, lv_SPDL4, lv_HTGL5,
                                lv_DBLL7, lv_HTGL8, lv_HTGL9
Data variables: (12/149)
    TMP_P0_L1_GLC0                 (ygrid_0, xgrid_0) float32 ...
    TMP_P0_L103_GLC0               (ygrid_0, xgrid_0) float32 ...
    TMP_P0_L105_GLC0               (lv_HYBL0, ygrid_0, xgrid_0) float32 ...
    POT_P0_L103_GLC0               (ygrid_0, xgrid_0) float32 ...
    DPT_P0_L103_GLC0               (ygrid_0, xgrid_0) float32 ...
    LHTFL_P0_L1_GLC0               (ygrid_0, xgrid_0) float32 ...
    ...                             ...
    lv_HTGL5_l0                    (lv_HTGL5) float32 ...
    lv_SPDL4_l1                    (lv_SPDL4) float32 ...
    lv_SPDL4_l0                    (lv_SPDL4) float32 ...
    lv_HTGL2_l1                    (lv_HTGL2) float32 ...
    lv_HTGL2_l0                    (lv_HTGL2) float32 ...
    gridrot_0                      (ygrid_0, xgrid_0) float32 ...

目前我只关心Variables个包含这3个公共Coordinates [lv_HYBL0, gridlat_0, gridlon_0]

我可以手动 Select /索引那些拥有我想要的Coordinates的Variables，比如....

ds[["TMP_P0_L105_GLC0",...]]

但我更喜欢abstract种以上的方法.在《Pandas 》中，我会做一些bool种索引，大致如下...ds[ds.variables[ds.coords.isin(["gridlat_0","gridlon_0","lv_HYBL0"])]]

不幸的是，这不起作用.

如何根据Variable与Coordinate相连的情况 Select Variables？