Warning
Deprecated in version 0.2.
Bases: qikify.models.dotdict.dotdict
This class is the fundamental data structure of the Qikify framework.
Methods
clear(() -> None. Remove all items from D.) | |
copy(() -> a shallow copy of D) | |
fromkeys(...) | v defaults to None. |
get((k[,d]) -> D[k] if k in D, ...) | |
has_key((k) -> True if D has a key k, else False) | |
items(() -> list of D’s (key, value) pairs, ...) | |
iteritems(() -> an iterator over the (key, ...) | |
iterkeys(() -> an iterator over the keys of D) | |
itervalues(...) | |
keys(() -> list of D’s keys) | |
pop((k[,d]) -> v, ...) | If key is not found, d is returned if given, otherwise KeyError is raised |
popitem(() -> (k, v), ...) | 2-tuple; but raise KeyError if D is empty. |
setdefault((k[,d]) -> D.get(k,d), ...) | |
update((E, ...) | If E has a .keys() method, does: for k in E: D[k] = E[k] |
values(() -> list of D’s values) | |
viewitems(...) | |
viewkeys(...) | |
viewvalues(...) |
Bases: dict
We use dotdict to replace standard Python dictionaries. This is simply for the convenience of having dict.property access, instead of the messier dict[‘property’] style.
Methods
clear(() -> None. Remove all items from D.) | |
copy(() -> a shallow copy of D) | |
fromkeys(...) | v defaults to None. |
get((k[,d]) -> D[k] if k in D, ...) | |
has_key((k) -> True if D has a key k, else False) | |
items(() -> list of D’s (key, value) pairs, ...) | |
iteritems(() -> an iterator over the (key, ...) | |
iterkeys(() -> an iterator over the keys of D) | |
itervalues(...) | |
keys(() -> list of D’s keys) | |
pop((k[,d]) -> v, ...) | If key is not found, d is returned if given, otherwise KeyError is raised |
popitem(() -> (k, v), ...) | 2-tuple; but raise KeyError if D is empty. |
setdefault((k[,d]) -> D.get(k,d), ...) | |
update((E, ...) | If E has a .keys() method, does: for k in E: D[k] = E[k] |
values(() -> list of D’s values) | |
viewitems(...) | |
viewkeys(...) | |
viewvalues(...) |
Bases: _abcoll.MutableMapping
We use mdotmap to replace standard Python dictionaries. This is simply for the convenience of having mdotmap.attr access, instead of the dict[attr] style.
** NOT YET WORKING **
Methods
clear() | |
get(key[, default]) | |
items() | |
iteritems() | |
iterkeys() | |
itervalues() | |
keys() | |
pop(key[, default]) | |
popitem() | |
setdefault(key[, default]) | |
update(*args, **kwds) | |
values() |
Bases: object
Methods
computePassFail(data) | Compare a pandas Series or DataFrame structure to specification limits defined by |
genCriticalRegion(k_i, k_o) | Takes specification boundary and generates two boundaries to define ‘critical’ device region. |