Describes a single data variable of a Product or Dataset.
Must include, which can be used when loading and interpreting data:
- dtype - eg: int8, int16, float32
- nodata - What value represent No Data
Attributes can be accessed using
Can also include attributes like alternative names ‘aliases’, and spectral and bit flags definitions to aid with interpreting the data.
Initialize self. See help(type(self)) for accurate signature.
Required as the super class dict method returns a dict and does not preserve Measurement class
This returns attributes filtered for display in a dataarray.
Create a new dictionary with keys from iterable and values set to value.
Return the value for key if key is in the dictionary, else default.
If key is not found, d is returned if given, otherwise KeyError is raised
2-tuple; but raise KeyError if D is empty.
Insert key with a value of default if key is not in the dictionary.
If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]