从NetCDF文件中提取特定变量值的数据吗？

如何解决从NetCDF文件中提取特定变量值的数据吗？

我有一个NetCDF文件，它表示粒子模拟中的轨迹，我想从每个轨迹的终点捕获变量。该文件包含两个维度，particleID和时间，但是每个粒子的轨迹在不同的时间开始和结束，因此我不能在特定的时间提取。相反，我有一个状态变量，在不活动时返回NA，在活动时返回0，并且在轨迹完成的单个时间步中返回非零整数。如何为每个粒子的最后时间步骤提取所需的变量（经度，纬度等）？

此刻，我正在R中使用netcdf4软件包，是否在考虑类似finallongitude <- ncvar_get(nc,"longitude" where "status" != 0 and != NA)的问题？但最终，我将全部移入python。

谢谢！

编辑：样本数据集的dput。抱歉，我第一次使用dput，不确定发布此内容的最佳格式是什么？

structure(list("Desktop/ncsmall.nc",0L,id = 589824L,error = 0L,nvars = 3,filename = "Desktop/ncsmall.nc",writable = TRUE,ndims = 2,dim = list(time = structure(list(name = "time",units = "seconds",vals = 1:25,len = 25L,unlim = FALSE,id = 0,dimvarid = structure(list(id = 0,group_index = 1,group_id = 589824,list_index = 1,isdimvar = TRUE),class = "ncid4")),class = "ncdim4"),particleID = structure(list(name = "particleID",units = "ID#",vals = 1:17,len = 17L,id = 1,dimvarid = structure(list(
                id = 1,list_index = 2,class = "ncdim4")),var = list(longitude = structure(list(name = "longitude",units = "decimal degrees",longname = "longitude",shuffle = FALSE,compression = NA,chunksizes = NA,make_missing_value = FALSE,id = structure(list(id = 2L,group_id = 589824L,isdimvar = FALSE),class = "ncid4"),prec = "float",dim = list(structure(list(name = "time",longname = "time",id = -1,dimvarid = structure(list(id = -1,group_index = -1,group_id = -1,list_index = -1,create_dimvar = TRUE),structure(list(
            name = "particleID",longname = "particleID",dimvarid = structure(list(
                id = -1,ndims = 2L,varsize = c(25L,17L),hasAddOffset = FALSE,hasScaleFact = FALSE),class = "ncvar4"),latitude = structure(list(
        name = "latitude",longname = "latitude",id = structure(list(id = 3L,status = structure(list(
        name = "status",units = "status",longname = "status",id = structure(list(id = 4L,list_index = 3,class = "ncvar4")),safemode = FALSE,group = list(list(name = "",fqgn = "",fqpn = "",var = list(
        structure(list(name = "longitude",id = structure(list(
                id = -1,structure(list(name = "particleID",unlim = FALSE),structure(list(name = "latitude",structure(list(name = "status",id = structure(list(id = -1,level = 1,id = 589824L)),ngroups = 1L,fqgn2Rindex = list(
        `/` = 1),format = "NC_FORMAT_CLASSIC"),class = "ncdf4")