本文整理汇总了Python中xarray.DataArray.attrs["area"]方法的典型用法代码示例。如果您正苦于以下问题：Python DataArray.attrs["area"]方法的具体用法？Python DataArray.attrs["area"]怎么用？Python DataArray.attrs["area"]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.DataArray的用法示例。
在下文中一共展示了DataArray.attrs["area"]方法的1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: main
# 需要导入模块: from xarray import DataArray [as 别名]
# 或者: from xarray.DataArray import attrs["area"] [as 别名]
#.........这里部分代码省略.........
for c, comp in compositor_objects.items():
try:
LOG.info("Running gridded scene through '%s' compositor", c)
gridded_scene = comp.modify_scene(gridded_scene, **args.subgroup_args[c + " Modification"])
if args.keep_intermediate:
filename = glue_name + "_gridded_scene_" + grid_name + ".json"
LOG.debug("Updating saved intermediate gridded scene (%s) after compositor", filename)
gridded_scene.save(filename)
except (KeyError, ValueError):
LOG.debug("Compositor Error: ", exc_info=True)
LOG.error("Could not properly modify scene using compositor '%s'" % (c,))
if args.exit_on_error:
raise RuntimeError("Could not properly modify scene using compositor '%s'" % (c,))
if isinstance(f, ReaderWrapper) and not isinstance(gridded_scene, Scene):
this_grid_definition = None
# HACK: Create SatPy composites that were either separated before
# resampling or needed resampling to be created
rgbs = {}
for product_name in gridded_scene.keys():
rgb_name = product_name[:-6]
# Keep track of one of the grid definitions
if this_grid_definition is None:
this_grid_definition = gridded_scene[product_name]["grid_definition"]
if product_name.endswith("rgb_0") or product_name.endswith("rgb_1") or product_name.endswith("rgb_2"):
if rgb_name not in rgbs:
rgbs[rgb_name] = [None, None, None]
chn_idx = int(product_name[-1])
rgbs[rgb_name][chn_idx] = product_name
LOG.debug("Putting RGBs back together again")
for rgb_name, v in rgbs.items():
r = gridded_scene.pop(v[0])
g = gridded_scene.pop(v[1])
b = gridded_scene.pop(v[2])
new_info = r.copy()
new_info["grid_data"] = new_info["grid_data"].replace(v[0], rgb_name)
new_info["product_name"] = rgb_name
data = np.memmap(new_info["grid_data"], dtype=new_info["data_type"],
mode="w+", shape=(3, new_info["grid_definition"]["height"], new_info["grid_definition"]["width"]))
data[0] = r.get_data_array()[:]
data[1] = g.get_data_array()[:]
data[2] = b.get_data_array()[:]
gridded_scene[rgb_name] = new_info
del data, new_info
# Create composites that satpy couldn't complete until after remapping
composite_names = [x for x in f.wishlist if not isinstance(x, DatasetID)]
if composite_names:
tmp_scene = Scene()
for k, v in gridded_scene.items():
if not isinstance(v["sensor"], set):
v["sensor"] = set([v["sensor"]]) # turn sensor back in to a set to match satpy usage
tmp_scene[v["id"]] = DataArray(v.get_data_array(), attrs=v)
tmp_scene[v["id"]].attrs["area"] = this_grid_definition.to_satpy_area()
# tmp_scene[v["id"]].info = {}
if v["sensor"] not in tmp_scene.attrs["sensor"]:
tmp_scene.attrs["sensor"].extend(v["sensor"])
# Overwrite the wishlist that will include the above assigned datasets
tmp_scene.wishlist = f.wishlist
for cname in composite_names:
tmp_scene.compositors[cname] = tmp_scene.cpl.load_compositor(cname, tmp_scene.attrs["sensor"])
tmp_scene.compute()
tmp_scene.unload()
# Add any new Datasets to our P2G Scene if SatPy created them
for ds in tmp_scene:
ds_id = DatasetID.from_dict(ds.attrs)
if ds_id.name not in gridded_scene:
LOG.debug("Adding Dataset from SatPy Commpositing: %s", ds_id)
gridded_scene[ds_id.name] = dataarray_to_gridded_product(ds)
gridded_scene[ds_id.name]["grid_definition"] = this_grid_definition
# Remove any Products from P2G Scene that SatPy decided it didn't need anymore
for k, v in list(gridded_scene.items()):
if v["id"].name not in tmp_scene:
LOG.debug("Removing Dataset that is no longer used: %s", k)
del gridded_scene[k]
del tmp_scene, v
if isinstance(gridded_scene, Scene):
LOG.debug("Converting satpy Scene to P2G Gridded Scene")
# Convert it to P2G Gridded Scene
gridded_scene = convert_satpy_to_p2g_gridded(f, gridded_scene)
# Writer
try:
LOG.info("Creating output from data mapped to grid %s", grid_name)
backend.create_output_from_scene(gridded_scene, **args.subgroup_args["Backend Output Creation"])
except (ValueError, KeyError):
LOG.debug("Writer output creation exception: ", exc_info=True)
LOG.error("Writer output creation failed (see log for details)")
status_to_return |= STATUS_BACKEND_FAIL
if args.exit_on_error:
return status_to_return
continue
LOG.info("Processing data for grid %s complete", grid_name)
# Force deletion and eventual garbage collection of the scene objects
del gridded_scene
del scene
return status_to_return