Inherits from
- AbstractDataSource: enthought.chaco.abstract_data_source.AbstractDataSource
Attributes
- index_dimension
The dimensionality of the indices into this data source (overrides AbstractDataSource).
index_dimension = Constant('scalar')
- sort_order
The sort order of the data. This is a specialized optimization for 1-D arrays, but it's an important one that's used everywhere.
sort_order = SortOrderTrait
- value_dimension
The dimensionality of the value at each index point (overrides AbstractDataSource).
value_dimension = Constant('scalar')
Inherited from base classes
Method summary
- __getstate__(self)
- __init__(self, data = array([ ]), sort_order = 'none', **kw)
- get_bounds(self)
- get_data(self)
- get_data_mask(self)
- get_size(self)
- is_masked(self)
- remove_mask(self)
- reverse_map(self, pt, index = 0, outside_returns_none = True)
- set_data(self, newdata, sort_order = None)
- set_mask(self, mask)
Inherited from base classes
- __deepcopy__(self, memo)
- __prefix_trait__(self, name, is_set)
- __reduce_ex__(self, protocol)
- __setstate__(self, state, trait_change_notify = True)
- add_class_trait(cls, name, *trait)
- add_trait(self, name, *trait)
- add_trait_category(cls, category)
- add_trait_listener(self, object, prefix = '')
- all_trait_names(self)
- base_trait(self, name)
- class_default_traits_view(cls)
- class_editable_traits(cls)
- class_trait_names(cls, **metadata)
- class_trait_view(cls, name = None, view_element = None)
- class_trait_view_elements(cls)
- class_traits(cls, **metadata)
- clone_traits(self, traits = None, memo = None, copy = None, **metadata)
- configure_traits(self, filename = None, view = None, kind = None, edit = True, context = None, handler = None, id = '', scrollable = None, **args)
- copy_traits(self, other, traits = None, memo = None, copy = None, **metadata)
- copyable_trait_names(self, **metadata)
- default_traits_view(self)
- edit_traits(self, view = None, parent = None, kind = None, context = None, handler = None, id = '', scrollable = None, **args)
- editable_traits(self)
- has_traits_interface(self, *interfaces)
- on_trait_change(self, handler, name = None, remove = False, dispatch = 'same', priority = False, deferred = False)
- print_traits(self, show_help = False, **metadata)
- remove_trait(self, name)
- remove_trait_listener(self, object, prefix = '')
- reset_traits(self, traits = None, **metadata)
- set_trait_dispatch_handler(cls, name, klass, override = False)
- sync_trait(self, trait_name, object, alias = None, mutual = True, remove = False)
- trait(self, name, force = False, copy = False)
- trait_context(self)
- trait_get(self, *names, **metadata)
- trait_monitor(cls, handler, remove = False)
- trait_names(self, **metadata)
- trait_set(self, trait_change_notify = True, **traits)
- trait_setq(self, **traits)
- trait_subclasses(cls, all = False)
- trait_view(self, name = None, view_element = None)
- trait_view_elements(self)
- trait_views(self, klass = None)
- traits(self, **metadata)
- validate_trait(self, name, value)
Methods
- __getstate__(self)
- __init__(self, data = array([ ]), sort_order = 'none', **kw)
- get_bounds(self)
Returns the minimum and maximum values of the data source's data.
Implements AbstractDataSource.
- get_data(self)
Returns the data for this data source, or 0.0 if it has no data.
Implements AbstractDataSource.
- get_data_mask(self)
get_data_mask() -> (data_array, mask_array)
Implements AbstractDataSource.
- get_size(self)
get_size() -> int
Implements AbstractDataSource.
- is_masked(self)
is_masked() -> bool
Implements AbstractDataSource.
- remove_mask(self)
Removes the mask on this data source.
- reverse_map(self, pt, index = 0, outside_returns_none = True)
Returns the index of pt in the data source.
Parameters
- pt : scalar value
- value to find
- index
- ignored for data series with 1-D indices
- outside_returns_none : Boolean
- Whether the method returns None if pt is outside the range of the data source; if False, the method returns the value of the bound that pt is outside of.
- set_data(self, newdata, sort_order = None)
Sets the data, and optionally the sort order, for this data source.
Parameters
- newdata : array
- The data to use.
- sort_order : SortOrderTrait
- The sort order of the data
- set_mask(self, mask)
Sets the mask for this data source.