vispy.visuals.collections.array_list module¶
An ArrayList is a strongly typed list whose type can be anything that can be interpreted as a numpy data type.
Example¶
>>> L = ArrayList( [[0], [1,2], [3,4,5], [6,7,8,9]] )
>>> print L
[ [0] [1 2] [3 4 5] [6 7 8 9] ]
>>> print L.data
[0 1 2 3 4 5 6 7 8 9]
You can add several items at once by specifying common or individual size: a single scalar means all items are the same size while a list of sizes is used to specify individual item sizes.
Example¶
>>> L = ArrayList( np.arange(10), [3,3,4])
>>> print L
[ [0 1 2] [3 4 5] [6 7 8 9] ]
>>> print L.data
[0 1 2 3 4 5 6 7 8 9]
- class vispy.visuals.collections.array_list.ArrayList(data=None, itemsize=None, dtype=<class 'float'>, sizeable=True, writeable=True)¶
Bases:
objectAn ArrayList is a strongly typed list whose type can be anything that can be interpreted as a numpy data type.
- append(data, itemsize=None)¶
Append data to the end.
- Parameters
- dataarray_like
An array, any object exposing the array interface, an object whose __array__ method returns an array, or any (nested) sequence.
- itemsize: int or 1-D array
If itemsize is an integer, N, the array will be divided into elements of size N. If such partition is not possible, an error is raised.
If itemsize is 1-D array, the array will be divided into elements whose succesive sizes will be picked from itemsize. If the sum of itemsize values is different from array size, an error is raised.
- property data¶
The array’s elements, in memory.
- property dtype¶
Describes the format of the elements in the buffer.
- insert(index, data, itemsize=None)¶
Insert data before index
- Parameters
- indexint
Index before which data will be inserted.
- dataarray_like
An array, any object exposing the array interface, an object whose __array__ method returns an array, or any (nested) sequence.
- itemsize: int or 1-D array
If itemsize is an integer, N, the array will be divided into elements of size N. If such partition is not possible, an error is raised.
If itemsize is 1-D array, the array will be divided into elements whose succesive sizes will be picked from itemsize. If the sum of itemsize values is different from array size, an error is raised.
- property itemsize¶
Individual item sizes
- reserve(capacity)¶
Set current capacity of the underlying array
- property size¶
Number of base elements, in memory.