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- __builtin__.dict(__builtin__.object)
-
- Dataplot
- dataplot.PlotError(exceptions.Exception)
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- DataplotImproperlyConfigured
- django.db.models.base.Model(__builtin__.object)
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- Model
- django.db.models.base.ModelBase(__builtin__.type)
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- ModelBase
class Dataplot(__builtin__.dict) |
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Parsing logic for dataplot autoconfig tuples.
This is just used for DRY convenience here and should not be used
outside this module.
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- Method resolution order:
- Dataplot
- __builtin__.dict
- __builtin__.object
Methods defined here:
- __init__(self, plot, toset)
- Initialize a dataplot using sensible defaults.
This can be a
dataplot (subclass of dataplot.GenericPlot, i.e. R.Scatter) in
this case, we assume basename of scatter and a plot method
called get_scatter_args.
tuple (dataplot,dict) where dict is a dictionary of kwargs
used to initialize the dataplot. So you can use this form if
you want to override the default basename, get_plot_args
method, or other plot parameters.
- defaults(self)
- Derive sensible defaults from provided info.
- set_attribute(self)
- Set dataplot instance.
- set_method(self)
- Set data-gathering method if necessary.
Data and other attributes defined here:
- __dict__ = <dictproxy object>
- dictionary for instance variables (if defined)
- __weakref__ = <attribute '__weakref__' of 'Dataplot' objects>
- list of weak references to the object (if defined)
Methods inherited from __builtin__.dict:
- __cmp__(...)
- x.__cmp__(y) <==> cmp(x,y)
- __contains__(...)
- D.__contains__(k) -> True if D has a key k, else False
- __delitem__(...)
- x.__delitem__(y) <==> del x[y]
- __eq__(...)
- x.__eq__(y) <==> x==y
- __ge__(...)
- x.__ge__(y) <==> x>=y
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __getitem__(...)
- x.__getitem__(y) <==> x[y]
- __gt__(...)
- x.__gt__(y) <==> x>y
- __hash__(...)
- x.__hash__() <==> hash(x)
- __iter__(...)
- x.__iter__() <==> iter(x)
- __le__(...)
- x.__le__(y) <==> x<=y
- __len__(...)
- x.__len__() <==> len(x)
- __lt__(...)
- x.__lt__(y) <==> x<y
- __ne__(...)
- x.__ne__(y) <==> x!=y
- __repr__(...)
- x.__repr__() <==> repr(x)
- __setitem__(...)
- x.__setitem__(i, y) <==> x[i]=y
- clear(...)
- D.clear() -> None. Remove all items from D.
- copy(...)
- D.copy() -> a shallow copy of D
- get(...)
- D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None.
- has_key(...)
- D.has_key(k) -> True if D has a key k, else False
- items(...)
- D.items() -> list of D's (key, value) pairs, as 2-tuples
- iteritems(...)
- D.iteritems() -> an iterator over the (key, value) items of D
- iterkeys(...)
- D.iterkeys() -> an iterator over the keys of D
- itervalues(...)
- D.itervalues() -> an iterator over the values of D
- keys(...)
- D.keys() -> list of D's keys
- pop(...)
- D.pop(k[,d]) -> v, remove specified key and return the corresponding value
If key is not found, d is returned if given, otherwise KeyError is raised
- popitem(...)
- D.popitem() -> (k, v), remove and return some (key, value) pair as a
2-tuple; but raise KeyError if D is empty
- setdefault(...)
- D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D
- update(...)
- D.update(E, **F) -> None. Update D from E and F: for k in E: D[k] = E[k]
(if E has keys else: for (k, v) in E: D[k] = v) then: for k in F: D[k] = F[k]
- values(...)
- D.values() -> list of D's values
Data and other attributes inherited from __builtin__.dict:
- __new__ = <built-in method __new__ of type object>
- T.__new__(S, ...) -> a new object with type S, a subtype of T
- fromkeys = <built-in method fromkeys of type object>
- dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v.
v defaults to None.
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class Model(django.db.models.base.Model) |
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Enables figure autosave with Django-dataplot.
All attributes of this model which are instances of
dataplot.GenericPlot will be resaved.
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- Method resolution order:
- Model
- django.db.models.base.Model
- __builtin__.object
Methods defined here:
- __init__(self, *args, **kwargs)
- make_model_plots(self, force=True)
- Try to remake plots related to this model.
- save(self)
- Save method which allows for maximum configurability.
On a model with no custom save method, we will call django's
save first, then try to make plots for this object.
On a model with a custom save method, you should call
make_plots and Model.save yourself, depending on when it is
appropriate in terms of your data processing.
- save_plots(self)
Class methods defined here:
- make_manager_plots(cls, force=True) from ModelBase
- Try to remake plots related to this model's manager.
Data and other attributes defined here:
- AddManipulator = <class 'django.db.models.manipulators.AddManipulator'>
- ChangeManipulator = <class 'django.db.models.manipulators.ChangeManipulator'>
- DoesNotExist = <class django.db.models.base.DoesNotExist>
- MultipleObjectsReturned = <class django.db.models.base.MultipleObjectsReturned>
- __metaclass__ = <class 'dataplot.plotmodels.ModelBase'>
- Extend ModelBase to initialize dataplots.
- objects = <django.db.models.manager.Manager object>
Methods inherited from django.db.models.base.Model:
- __eq__(self, other)
- __hash__(self)
- __ne__(self, other)
- __repr__(self)
- __str__(self)
- delete(self)
- validate(self)
- First coerces all fields on this instance to their proper Python types.
Then runs validation on every field. Returns a dictionary of
field_name -> error_list.
Properties inherited from django.db.models.base.Model:
- pk
- get = _get_pk_val(self)
- set = _set_pk_val(self, value)
Data and other attributes inherited from django.db.models.base.Model:
- __dict__ = <dictproxy object>
- dictionary for instance variables (if defined)
- __weakref__ = <attribute '__weakref__' of 'Model' objects>
- list of weak references to the object (if defined)
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class ModelBase(django.db.models.base.ModelBase) |
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Extend ModelBase to initialize dataplots.
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- Method resolution order:
- ModelBase
- django.db.models.base.ModelBase
- __builtin__.type
- __builtin__.object
Methods defined here:
- __init__(self, *posargs, **kwargs)
- automatic dataplot construction based on DATAPLOTS syntax
Methods inherited from django.db.models.base.ModelBase:
- add_to_class(cls, name, value)
Static methods inherited from django.db.models.base.ModelBase:
- __new__(cls, name, bases, attrs)
Methods inherited from __builtin__.type:
- __call__(...)
- x.__call__(...) <==> x(...)
- __cmp__(...)
- x.__cmp__(y) <==> cmp(x,y)
- __delattr__(...)
- x.__delattr__('name') <==> del x.name
- __getattribute__(...)
- x.__getattribute__('name') <==> x.name
- __hash__(...)
- x.__hash__() <==> hash(x)
- __repr__(...)
- x.__repr__() <==> repr(x)
- __setattr__(...)
- x.__setattr__('name', value) <==> x.name = value
- __subclasses__(...)
- __subclasses__() -> list of immediate subclasses
- mro(...)
- mro() -> list
return a type's method resolution order
Data and other attributes inherited from __builtin__.type:
- __base__ = <class 'django.db.models.base.ModelBase'>
- __bases__ = (<class 'django.db.models.base.ModelBase'>,)
- __basicsize__ = 420
- __dict__ = <dictproxy object>
- __dictoffset__ = 132
- __flags__ = 22523
- __itemsize__ = 20
- __mro__ = (<class 'dataplot.plotmodels.ModelBase'>, <class 'django.db.models.base.ModelBase'>, <type 'type'>, <type 'object'>)
- __weakrefoffset__ = 184
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