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WOW jQuery Slider 8. The user should not ordinarily know this or rely on this! For example:. This is particularly useful in situations like this:. When one accesses this object, a new tvtk wrapper object is created. The following illustrates this:. Thus, after o is garbage collected m. Changing this behaviour is tricky and there are no plans currently to change this.
All tvtk objects are derived from traits. As discussed above, all the basic state related methods are represented as traits in tvtk.
This is why we are able to do:. Also note that it is possible to set many properties of a tvtk object in one go using the set method. Any tvtk object will automatically provide the basic functionality of a traited class. Thus, one can also pop up a standard GUI editor for any tvtk object trivially. A GUI editor should pop-up at this point. Note, that changes made to the trait will automagically be propagated to the underlying VTK object. Most importantly, the reverse is also true. That is, if some other object changes the basic state of the wrapped VTK object, then the trait will be automagically updated.
This also means that if you change properties of the object on the interpreter and at the same time are using a GUI editor, if the object changes, the GUI editor will update automatically. It is important to note that tvtk objects have strict traits. It is therefore an error to set an attribute that is not already defined in the class. This is illustrated in the following example:. The state of the tvtk object maybe pickled. Once again, only the state of the object is pickled.
Internal references are not. So the construction of the VTK pipeline will not be pickled. Some of the tvtk classes like Matrix4x4 also have special code that enables better pickling. It is also possible to set the state of a live object. Normally, pickle. No new object is created. All tvtk methods and traits are documented using the VTK docstrings. The class names and method names are changed suitably as mentioned in the Basic Usage section.
These docstrings are generated automatically and there might be small mistakes in them. All methods of a tvtk object also provide method signature information in the docstring.
All the tvtk wrapper classes are generated automatically. Sometimes one would like to customize a particular class and use that instead of the default. Any file here will override the default inside the ZIP file. Any object derived from Collection i. Here is an example:. Similarly, the Points and IdList classes also support these features. This is because of the peculiarity of the wrapped vtkCellArray class. Here is a simple example demonstrating these:.
Note that Python tuples are not converted implicitly. The conversion from the passed arrays to the VTK arrays is handled transparently and very efficiently. The only exception to this is the IdList class where the conversion is inefficient. However, the IdList class is not used commonly. The CellArray is used to specify the connectivity list for polygonal data and has some peculiarities. The CellArray needs to be initialized using the cell connectivity list.
This can be specified in one of several ways. A Python list of 1D lists. Each 1D list can contain one cell connectivity list. This is very slow and is to be used only when efficiency is of no consequence. A Python list of 2D numpy arrays. Each numpy array can have a different shape. This makes it easy to generate a cell array having cells of different kinds. This conversion is most efficient if the passed numpy arrays have a typecode of tvtk.
Otherwise a typecast is necessary and this involves an extra copy. The input data is always copied during the conversion. Here is an example illustrating these different approaches:. An alternative way to use an arbitrary connectivity list having different numbers of points per cell is to use the following approach:.
This is done very efficiently and does not copy the input data. More details on this are provided in the next sub-section. Also note that DataArray objects can still be passed to these methods as before.
For example we could have just as easily done this:. To clarify the ensuing discussion we make a distinction between two different forms of array handling. Explicit conversion — These happen when the user is creating a tvtk array object and initializes this from a numpy array or Python list.
Like so:. Implicit conversion — These happen when the user passes an array or list to a tvtk method that expects a DataArray , Points , IdList or CellArray instance.
When possible, tvtk uses a view of the passed numpy array and does not make a copy of the data stored in it. This means that changes to the VTK data array or to the numpy array are visible in the other. It is important to note that it is perfectly safe to delete the reference to the numpy array since this array is actually cached safely to eliminate nasty problems. This memory is freed when the VTK array is garbage collected.
Saving a reference to the numpy array also ensures that the numpy array cannot be resized this could have disastrous effects. The DataArray class and its subclasses and the Points class only make copies of the given data in the following situations. The types of the expected VTK array and the passed numpy array are not equivalent to each other. The cases 3 and 4 occur very rarely in implicit conversions because most methods accept DataArray instances rather than specific subclasses.
However, these cases are likely to occur in explicit conversions. This always makes a copy. Thus, the following example does not make a copy:. Changing the values of the ids or changing the number of cells is not recommended and will lead to undefined behaviour.
It should also be noted that it is best to pass cell connectivity data in arrays having typecode tvtk. In this case, a is not resized but d is. Here, d actually makes a copy of a and any further changes to d or a will not be reflected in the other. This case also illustrates a small problem. Fortunately, when d is garbage collected the memory occupied by a will be freed. Thus the problem is not serious but probably worth keeping in mind.
Most often DataArray and Points objects do not make copies of the numpy data. The exceptions are listed above.
This means changes to either the tvtk object or the array are reflected in the other. It is safe to delete references to the array object converted. You cannot resize the numpy array though.
CellArray always copies data on assignment. Note that it is not advisable to change the connectivity ids and number of cells when this is done. Also note that for the CellArray it is best to pass data in the form of numpy arrays having a typecode of tvtk. Otherwise one incurs an extra copy due to a typecast. This could lead to increased memory usage in some circumstances. However, this is not a memory leak. The upshot of these features is that array conversion can be extremely efficient in terms of speed and memory considerations.
The tvtk package ships with several other utility modules. These are briefly described in the following sections. The tvtk. If one specifies a. Double-clicking any node will let you edit the properties of the object with a trait sheet editor. The TreeEditor from the traits package is used to represent the view. The browser will most often automatically update itself as you change the VTK pipeline. When it does not you can right click on any node and click refresh. The algorithm to generate the objects in the tree can be changed.
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