MeVisLab Scripting Reference
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Public Slots | |
bool | isCaching () const |
void | setDataSource (PyObject *object, bool caching=false) |
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QObject * | qmlModel () const |
bool | isFlat () const |
bool | hasChildren (const ModelIndexWrapper *parent) |
int | getChildCount (const ModelIndexWrapper *parent) |
ModelIndexWrapper * | getChild (const ModelIndexWrapper *parent, unsigned int index) |
ModelIndexWrapper * | getParent (const ModelIndexWrapper *child) |
ModelIndexWrapper * | findFirst (const QVariant &attribute, const QVariant &value) |
ModelIndexWrapper * | searchItem (const QVariant &attribute, const QVariantList &values) |
int | getAttributeCount () const |
QStringList | getAttributeNames () const |
QString | getAttributeName (int index) const |
QVariant | getAttributeDefault (int index) const |
int | getAttributeIndex (const QString &name) |
QVariant | getData (const ModelIndexWrapper *item, int attributeIndex) |
bool | setData (const ModelIndexWrapper *item, int attributeIndex, const QVariant &data) |
bool | bulkSetData (const QList< ModelIndexWrapper * > &items, int attributeIndex, const QVariant &data) |
QVariant | getData (const ModelIndexWrapper *item, const QString &attributeName) |
bool | setData (const ModelIndexWrapper *item, const QString &attributeName, const QVariant &data) |
bool | bulkSetData (const QList< ModelIndexWrapper * > &items, const QString &attributeName, const QVariant &data) |
Static Public Member Functions | |
static ml::RefCountedBase * | createObject (const QVariantList &arguments) |
Additional Inherited Members | |
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void | itemChanged (ModelIndexWrapper *item, bool after) |
void | itemsInserted (ModelIndexWrapper *parent, unsigned int childIndex, unsigned int itemsInserted, bool after) |
void | itemsRemoved (ModelIndexWrapper *parent, unsigned int childIndex, unsigned int itemsRemoved, bool after) |
void | dataChanged (const QList< ModelIndexWrapper * > &items, const QList< int > &attributeIndices) |
This class wraps the class ml::PythonItemModel and thus provides an item model that takes its data from a Python object.
You should not use this wrapper directly.
Instead, you should derive from class ItemModelDataSource contained in the ItemModelSupport Python module (source code located at Packages/MeVisLab/Standard/Modules/Scripts/python/ItemModelSupport.py).
You can also have a look at the TestItemModelView module for an example. This module implements both the StandardItemModel and PythonItemModel and you can switch between these implementations.
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Creates new Python item model; this is used by MLAB.createMLBaseObject to create a PythonItemModel. This takes a list with 1 or 2 arguments.
The first, required element is the list of attribute names.
The second, optional element is a boolean. If set, this is a hint that the model will have no subitems. This can be used by views to avoid reserving space for subitem indicators.
Example:
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Returns whether the model is caching the values.
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Changing the data source object for the model.
If caching is set to true
, most results obtained from the data source are cached.
The object must have certain methods, as, e.g., found in the ItemModelDataSource class mentioned above.