qiskit_noise_learning.math.IndexedVector
class qiskit_noise_learning.math.IndexedVector
A vector of floats with arbitrary index, or axis label, data.
__init__
__init__(*args, **kwargs)
Methods
Chronique « 1 » | Chronique « 2 » |
|---|---|
__init__(*args, **kwargs) | |
add(other) | Return a new indexed vector that is the sum of self and other. |
clear() | Remove all items from the dict. |
copy() | Return a shallow copy of the dict. |
fromkeys(iterable[, value]) | Create a new dictionary with keys from iterable and values set to value. |
get(key[, default]) | Return the value for key if key is in the dictionary, else default. |
items() | Return a set-like object providing a view on the dict's items. |
keys() | Return a set-like object providing a view on the dict's keys. |
mul(const) | Return a new indexed vector by multipling self with a constant. |
pop(k[,d]) | If the key is not found, return the default if given; otherwise, raise a KeyError. |
popitem() | Remove and return a (key, value) pair as a 2-tuple. |
setdefault(key[, default]) | Insert key with a value of default if key is not in the dictionary. |
update([E, ]**F) | If E is present and has a .keys() method, then does: for k in E.keys(): 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() | Return an object providing a view on the dict's values. |
add
add(other: Self) → Self
Return a new indexed vector that is the sum of self and other.
mul
mul(const: float) → Self
Return a new indexed vector by multipling self with a constant.
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