Question

我想用x替换xarray数据集中的变量中的值。我试过这种方法，但它不起作用：

da[da['var'] == -9999.]['var'] = None

我收到此错误：*** TypeError: unhashable type: 'numpy.ndarray'

我可以在这里使用numpy替换吗？ da是xarray数据集。这是da的样子：

<xarray.Dataset>
Dimensions:  (band: 1, time: 3, x: 4258, y: 2334)
Coordinates:
  * band     (band) int32 1
  * y        (y) float64 4.406e+06 4.406e+06 4.406e+06 4.406e+06 4.406e+06 ...
  * x        (x) float64 1.125e+05 1.126e+05 1.127e+05 1.128e+05 1.129e+05 ...
  * time     (time) datetime64[ns] 2005-12-31 2006-12-31 2007-12-31
Data variables:
    var      (time, band, y, x) float32 dask.array<shape=(3, 1, 2334, 4258), chunksize=(1, 1, 2334, 4258)>

这就是da.var的样子：

<xarray.DataArray 'var' (time: 3, band: 1, y: 2334, x: 4258)>
dask.array<shape=(3, 1, 2334, 4258), dtype=float32, chunksize=(1, 1, 2334, 4258)>
Coordinates:
  * band     (band) int32 1
  * y        (y) float64 4.406e+06 4.406e+06 4.406e+06 4.406e+06 4.406e+06 ...
  * x        (x) float64 1.125e+05 1.126e+05 1.127e+05 1.128e+05 1.129e+05 ...
  * time     (time) datetime64[ns] 2005-12-31 2006-12-31 2007-12-31
Attributes:
    transform:   (90.0, 0.0, 112500.0, 0.0, -90.0, 4406400.0, 0.0, 0.0, 1.0)
    crs:         +ellps=GRS80 +no_defs +proj=utm +towgs84=0,0,0,0,0,0,0 +unit...
    res:         (90.0, 90.0)
    is_tiled:    1
    nodatavals:  (-9999.0,)

Answer 1

执行此操作的标准方法是使用where：http://xarray.pydata.org/en/latest/indexing.html#masking-with-where

# Note that I'm going to use `ds` instead of the OP's `da`

# replace all values equal to -9999 with np.nan
ds_masked = ds.where(ds['var'] != -9999.)

用None替换xarray数据集中的值

1 个答案: