datacube.model.Measurement¶
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class
datacube.model.
Measurement
(canonical_name=None, **kwargs)[source]¶ Describes a single data variable of a Product or Dataset.
Must include, which can be used when loading and interpreting data:
name
dtype - eg: int8, int16, float32
nodata - What value represent No Data
units
Attributes can be accessed using
dict []
syntax.Can also include attributes like alternative names ‘aliases’, and spectral and bit flags definitions to aid with interpreting the data.
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__init__
(canonical_name=None, **kwargs)[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__init__
([canonical_name])Initialize self.
clear
()copy
()Required as the super class dict method returns a dict and does not preserve Measurement class
dataarray_attrs
()This returns attributes filtered for display in a dataarray.
fromkeys
Returns a new dict with keys from iterable and values equal to value.
get
(k[,d])items
()keys
()pop
(k[,d])If key is not found, d is returned if given, otherwise KeyError is raised
popitem
()2-tuple; but raise KeyError if D is empty.
setdefault
(k[,d])update
([E, ]**F)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]
values
()Attributes
ATTR_SKIP
OPTIONAL_KEYS
REQUIRED_KEYS