cf.SpaceList

class cf.SpaceList(sequence=())

Bases: cf.space.VariableList

An ordered sequence of spaces stored in a single, list-like object. Refer to Variable Lists in the cf package for details.

Methods and attributes defined here:

coord(*args, **kwargs)

Return the requested coordinate from each space in the list.

copy()

CFL.copy() -> a deep copy of CFL

count(value)

CFL.count(value) -> integer – return number of occurrences of value

Uses numerically tolerant equality.

delpriv(attr)

Delete a private attribute from each element of the list of variables.

delpub(attr)

Delete a public attribute from each element of the list of variables.

dump(*arg, **kwargs)

Return a string containing the full descriptions of each variable in the list.

See also

cf.dump

eextract(*arg, **kwargs)

Return the list of variables which match the given phenomena, with only exact phenomenon names allowed.

ematch(*arg, **kwargs)

Return a built-in list of the result of the match on each element of the list of variables, with only exact phenomenon names allowed.

equals(other, rtol=None, atol=None)

Return True if two lists are congruent in that

  1. Each pair of their elements are equal.
  2. Both instances have equal attributes.

Numerical equality is to within a tolerance. Refer to cf for details.

Parameters:
  • other (object) – The variable to compare against for equality.
  • atol (None or float) – Optional. If None then use the default method for setting the absolute tolerance for numerical equality (refer to cf for details). If a number then set the absolute tolerance to this value for all such comparisons.
  • rtol (None or float) – Optional. If None then use the default method for setting the relative tolerance for numerical equality (refer to cf for details). If a number then set the relative tolerance to this value for all such comparisons.
Returns:

True if the two objects are congruent, False otherwise.

extract(*arg, **kwargs)

Return the list of variables which match the given phenomena, with unambiguous abbreviations of phenomenon names allowed.

getpriv(attr, *default)

Return a built-in list of the private attributes of each element of the list of variables.

getpub(*args)

Return a built-in list of the public attributes of each element of the list of variables.

index(value, start=0, stop=None)

CFL.index(value, [start, [stop]]) -> integer – return first index of value

Uses numerically tolerant equality.

insert(index, object)

CFL.insert(index, object) – insert object before index

match(*arg, **kwargs)

Return a built-in list of the result of the match on each element of the list of variables, with unambiguous abbreviations of phenomenon names allowed.

name(*arg, **kwargs)

Return a built-in list of the names of each element of the list of variables.

priv(*args, **kwargs)

Set a private attribute from each element of the list of variables or return a built-in list of the private attributes of each element of the list of variables.

pub(*args, **kwargs)

Set a public attribute from each element of the list of variables or return a built-in list of the public attributes of each element of the list of variables.

setpriv(attr, value)

Set a private attribute on each element of the list of variables.

setpub(attr, value)

Set a public attribute from each element of the list of variables.

slice

Slice each space in the list, returning a new list of spaces. Slicing by indices or by coordinate values are both allowed.

Examples:

>>> sl
[<CF Variable: air_temperature(73, 96)>,
 <CF Variable: air_temperature(73, 96)>]
>>> sl.slice[0,0]
[<CF Variable: air_temperature(1,1)>,
 <CF Variable: air_temperature(1,1)>]
>>> sl.slice(longitude=0, latitude=0)
[<CF Variable: air_temperature(1,1)>,
 <CF Variable: air_temperature(1,1)>]
type()

The types of the data stored in each variable’s Data object.

Returns:A list of list of type objects for each of the data.

elements.

Examples:
>>> v.type()
[[<type 'netCDF4.Variable'>]]
>>> v.slice[...]
>>> v.type()
[[<type 'numpy.ndarray'>]]

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