Class Dimension
object --+
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Dimension
Dimension(self, dset, name, size=None)
A netCDF Dimension is used to describe the coordinates of a Variable.
Dimension
instances should be created using the createDimension method of a Dataset instance, not
using this class directly.
Parameters:
dset
- Dataset instance.
name
- Name of the dimension.
Keywords:
size
- Size of the dimension. None
or 0 means unlimited. (Default None
).
Returns:
a Dimension
instance. All further operations on the netCDF Dimension are accomplised
via Dimension
instance methods.
The current maximum size of a Dimension instance can be obtained by calling the python
len
function on the Dimension instance. The isunlimited()
method of a Dimension instance can be used to determine if the
dimension is unlimited
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__init__(self,
dset,
name,
size=None)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature |
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a new object with type S, a subtype of T
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isunlimited(self)
returns True if the Dimension
instance is unlimited, False otherwise. |
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Inherited from object :
__delattr__ ,
__format__ ,
__getattribute__ ,
__hash__ ,
__reduce__ ,
__reduce_ex__ ,
__repr__ ,
__setattr__ ,
__sizeof__ ,
__str__ ,
__subclasshook__
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Inherited from object :
__class__
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__init__(self,
dset,
name,
size=None)
(Constructor)
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x.__init__(...) initializes x; see x.__class__.__doc__ for
signature
- Overrides:
object.__init__
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- Returns: a new object with type S, a subtype of T
- Overrides:
object.__new__
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