本文整理汇总了Python中xarray.DataArray.attrs方法的典型用法代码示例。如果您正苦于以下问题：Python DataArray.attrs方法的具体用法？Python DataArray.attrs怎么用？Python DataArray.attrs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方法的2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: get_dataset
# 需要导入模块: from xarray import DataArray [as 别名]
# 或者: from xarray.DataArray import attrs [as 别名]
def get_dataset(self, key, info):
"""Load a dataset."""
if self._channel != key.name:
return
logger.debug('Reading %s.', key.name)
# FIXME: get this from MTD_MSIL1C.xml
quantification_value = 10000.
jp2 = glymur.Jp2k(self.filename)
bitdepth = 0
for seg in jp2.codestream.segment:
try:
bitdepth = max(bitdepth, seg.bitdepth[0])
except AttributeError:
pass
jp2.dtype = (np.uint8 if bitdepth <= 8 else np.uint16)
# Initialize the jp2 reader / doesn't work in a multi-threaded context.
# jp2[0, 0]
# data = da.from_array(jp2, chunks=CHUNK_SIZE) / quantification_value * 100
data = da.from_delayed(delayed(jp2.read)(), jp2.shape, jp2.dtype)
data = data.rechunk(CHUNK_SIZE) / quantification_value * 100
proj = DataArray(data, dims=['y', 'x'])
proj.attrs = info.copy()
proj.attrs['units'] = '%'
proj.attrs['platform_name'] = self.platform_name
return proj示例2: read
# 需要导入模块: from xarray import DataArray [as 别名]
# 或者: from xarray.DataArray import attrs [as 别名]
def read(self):
"""
:return: DataArray objects populated with data read from eeg files. The size of the output is
number of channels x number of start offsets x number of time series points
The corresponding DataArray axes are: 'channels', 'start_offsets', 'offsets'
"""
eventdata, read_ok_mask = self.read_file(self.dataroot,self.channels,self.start_offsets,self.read_size)
# multiply by the gain
eventdata *= self.params_dict['gain']
eventdata = DataArray(eventdata,
dims=[self.channel_name, 'start_offsets', 'offsets'],
coords={
self.channel_name: self.channels,
'start_offsets': self.start_offsets.copy(),
'offsets': np.arange(self.read_size),
'samplerate': self.params_dict['samplerate']
}
)
from copy import deepcopy
eventdata.attrs = deepcopy(self.params_dict)
return eventdata, read_ok_mask