本文整理汇总了Python中xarray.Dataset.rename方法的典型用法代码示例。如果您正苦于以下问题：Python Dataset.rename方法的具体用法？Python Dataset.rename怎么用？Python Dataset.rename使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类xarray.Dataset的用法示例。
在下文中一共展示了Dataset.rename方法的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_weakrefs
# 需要导入模块: from xarray import Dataset [as 别名]
# 或者: from xarray.Dataset import rename [as 别名]
def test_weakrefs(self):
example = Dataset({'foo': ('x', np.arange(5.0))})
expected = example.rename({'foo': 'bar', 'x': 'y'})
with create_tmp_file() as tmp_file:
example.to_netcdf(tmp_file, engine='scipy')
on_disk = open_dataset(tmp_file, engine='pynio')
actual = on_disk.rename({'foo': 'bar', 'x': 'y'})
del on_disk # trigger garbage collection
self.assertDatasetIdentical(actual, expected)示例2: _normalize_lat_lon_2d
# 需要导入模块: from xarray import Dataset [as 别名]
# 或者: from xarray.Dataset import rename [as 别名]
def _normalize_lat_lon_2d(ds: xr.Dataset) -> xr.Dataset:
"""
Detect 2D 'lat', 'lon' variables that span a equi-rectangular grid. Then:
Drop original 'lat', 'lon' variables
Rename original dimensions names of 'lat', 'lon' variables, usually ('y', 'x'), to ('lat', 'lon').
Insert new 1D 'lat', 'lon' coordinate variables with dimensions 'lat' and 'lon', respectively.
:param ds: some xarray dataset
:return: a normalized xarray dataset, or the original one
"""
if not ('lat' in ds and 'lon' in ds):
return ds
lat_var = ds['lat']
lon_var = ds['lon']
lat_dims = lat_var.dims
lon_dims = lon_var.dims
if lat_dims != lon_dims:
return ds
spatial_dims = lon_dims
if len(spatial_dims) != 2:
return ds
x_dim_name = spatial_dims[-1]
y_dim_name = spatial_dims[-2]
lat_data_1 = lat_var[:, 0]
lat_data_2 = lat_var[:, -1]
lon_data_1 = lon_var[0, :]
lon_data_2 = lon_var[-1, :]
equal_lat = np.allclose(lat_data_1, lat_data_2, equal_nan=True)
equal_lon = np.allclose(lon_data_1, lon_data_2, equal_nan=True)
# Drop lat lon in any case. If note qual_lat and equal_lon subset_spatial_impl will subsequently
# fail with a ValidationError
ds = ds.drop(['lon', 'lat'])
if not (equal_lat and equal_lon):
return ds
ds = ds.rename({
x_dim_name: 'lon',
y_dim_name: 'lat',
})
ds = ds.assign_coords(lon=np.array(lon_data_1), lat=np.array(lat_data_1))
return ds示例3: _normalize_lat_lon
# 需要导入模块: from xarray import Dataset [as 别名]
# 或者: from xarray.Dataset import rename [as 别名]
def _normalize_lat_lon(ds: xr.Dataset) -> xr.Dataset:
"""
Rename variables named 'longitude' or 'long' to 'lon', and 'latitude' to 'lon'.
:param ds: some xarray dataset
:return: a normalized xarray dataset, or the original one
"""
lat_name = get_lat_dim_name_impl(ds)
lon_name = get_lon_dim_name_impl(ds)
name_dict = dict()
if lat_name and 'lat' not in ds:
name_dict[lat_name] = 'lat'
if lon_name and 'lon' not in ds:
name_dict[lon_name] = 'lon'
if name_dict:
ds = ds.rename(name_dict)
return ds