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| NumpyArray< N, T, Stride > Class Template Reference |

`#include <vigra/numpy_array.hxx>`

Inheritance diagram for NumpyArray< N, T, Stride >:

List of all members.

## Public Types
typedef view_type::const_iterator | const_iterator
typedef view_type::const_pointer | const_pointer
typedef view_type::const_reference | const_reference
typedef view_type::const_traverser | const_traverser
typedef view_type::difference_type | difference_type
typedef view_type::difference_type_1 | difference_type_1
typedef view_type::iterator | iterator
typedef NumpyAnyArray::difference_type | permutation_type
typedef view_type::pointer | pointer
typedef view_type::reference | reference
typedef view_type::size_type | size_type
typedef view_type::traverser | traverser
typedef view_type::value_type | value_type
typedef MultiArrayView< N, typename ArrayTraits::value_type, Stride > | view_type
## Public Member Functions
void | makeCopy (PyObject *obj, bool strict=false)
bool | makeReference (PyObject *obj, bool=false)
bool | makeReference (const NumpyAnyArray &array, bool strict=false)
void | makeReferenceUnchecked (PyObject *obj)
void | makeUnsafeReference (const view_type &multiArrayView)
| NumpyArray (PyObject *obj=0, bool createCopy=false)
| NumpyArray (const NumpyArray &other, bool createCopy=false)
template<class U , class S >
| NumpyArray (const MultiArrayView< N, U, S > &other)
| NumpyArray (difference_type const &shape, std::string const &order="")
| NumpyArray (TaggedShape const &tagged_shape)
| NumpyArray (const NumpyAnyArray &other, bool createCopy=false)
NumpyArray & | operator= (const NumpyArray &other)
template<class U , class S >
NumpyArray & | operator= (const NumpyArray< N, U, S > &other)
template<class U , class S >
NumpyArray & | operator= (const MultiArrayView< N, U, S > &other)
NumpyArray & | operator= (const NumpyAnyArray &other)
template<class U >
ArrayVector< U > | permuteLikewise (ArrayVector< U > const &data) const
template<class U , int K>
TinyVector< U, K > | permuteLikewise (TinyVector< U, K > const &data) const
template<int K>
TinyVector< npy_intp, K > | permuteLikewise () const
void | reshape (difference_type const &shape)
void | reshapeIfEmpty (difference_type const &shape, std::string message="")
void | reshapeIfEmpty (TaggedShape tagged_shape, std::string message="")
## Static Public Member Functions
static bool | isCopyCompatible (PyObject *obj)
static bool | isReferenceCompatible (PyObject *obj)
static bool | isStrictlyCompatible (PyObject *obj)
static difference_type | standardStrideOrdering ()

## Detailed Description

### template<unsigned int N, class T, class Stride = StridedArrayTag>
class vigra::NumpyArray< N, T, Stride >

Provide the MultiArrayView interface for a Python array.

This class inherits from both vigra::MultiArrayView and vigra::NumpyAnyArray in order to support easy and save application of VIGRA functions to Python arrays.

#include <vigra/numpy_array.hxx>
Namespace: vigra

## Member Typedef Documentation

typedef MultiArrayView<N, typename ArrayTraits::value_type, Stride> view_type

the view type associated with this array.

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef view_type::value_type value_type

the array's value type

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef view_type::pointer pointer

pointer type

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef view_type::const_pointer const_pointer

const pointer type

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef view_type::reference reference

reference type (result of operator[])

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef view_type::const_reference const_reference

const reference type (result of operator[] const)

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef view_type::size_type size_type

size type

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef view_type::difference_type difference_type

difference type (used for multi-dimensional offsets and indices)

Reimplemented from NumpyAnyArray.

typedef view_type::difference_type_1 difference_type_1

difference and index type for a single dimension

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef NumpyAnyArray::difference_type permutation_type

type of an array specifying an axis permutation

typedef view_type::traverser traverser

traverser type

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef view_type::const_traverser const_traverser

traverser type to const data

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef view_type::iterator iterator

sequential (random access) iterator type

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

typedef view_type::const_iterator const_iterator

sequential (random access) const iterator type

Reimplemented from MultiArrayView< N, NumpyArrayTraits< N, T, Stride >::value_type, Stride >.

## Constructor & Destructor Documentation

NumpyArray | ( | PyObject * | obj = `0`,
|  | bool | createCopy = `false`
| ) |  | `[explicit]`

Construct from a given PyObject pointer. When the given python object is NULL, the internal python array will be NULL and hasData() will return false.

Otherwise, the function attempts to create a new reference to the given Python object, unless copying is forced by setting createCopy to true. If either of this fails, the function throws an exception. This will not happen if isReferenceCompatible(obj) (in case of creating a new reference) or isCopyCompatible(obj) (in case of copying) have returned true beforehand.

NumpyArray | ( | const NumpyArray< N, T, Stride > & | other,
|  | bool | createCopy = `false`
| ) |  |

Copy constructor; does not copy the memory, but creates a new reference to the same underlying python object, unless a copy is forced by setting createCopy to true. (If the source object has no data, this one will have no data, too.)

NumpyArray | ( | const MultiArrayView< N, U, S > & | other | ) | `[explicit]`

Allocate new memory and copy data from a MultiArrayView.

NumpyArray | ( | difference_type const & | shape,
|  | std::string const & | order = `""`
| ) |  | `[explicit]`

Construct a new array object, allocating an internal python ndarray of the given shape in the given order (default: VIGRA order), initialized with zeros.

An exception is thrown when construction fails.

NumpyArray | ( | TaggedShape const & | tagged_shape | ) | `[explicit]`

Construct a new array object, allocating an internal python ndarray according to the given tagged shape, initialized with zeros.

An exception is thrown when construction fails.

NumpyArray | ( | const NumpyAnyArray & | other,
|  | bool | createCopy = `false`
| ) |  | `[explicit]`

Constructor from NumpyAnyArray. Equivalent to NumpyArray(other.pyObject())

## Member Function Documentation

NumpyArray& operator= | ( | const NumpyArray< N, T, Stride > & | other | ) |

Assignment operator. If this is already a view with data (i.e. hasData() is true) and the shapes match, the RHS array contents are copied. If this is an empty view, assignment is identical to makeReferenceUnchecked(other.pyObject()). See MultiArrayView::operator= for further information on semantics.

NumpyArray& operator= | ( | const NumpyArray< N, U, S > & | other | ) |

Assignment operator. If this is already a view with data (i.e. hasData() is true) and the shapes match, the RHS array contents are copied. If this is an empty view, assignment is identical to makeReferenceUnchecked(other.pyObject()). See MultiArrayView::operator= for further information on semantics.

NumpyArray& operator= | ( | const MultiArrayView< N, U, S > & | other | ) |

Assignment operator. If this is already a view with data (i.e. hasData() is true) and the shapes match, the RHS array contents are copied. If this is an empty view, a new buffer with the RHS shape is allocated before copying.

NumpyArray& operator= | ( | const NumpyAnyArray & | other | ) |

Assignment operator. If this is already a view with data (i.e. hasData() is true) and the shapes match, the RHS array contents are copied. If this is an empty view, assignment is identical to makeReference(other.pyObject()). Otherwise, an exception is thrown.

Reimplemented from NumpyAnyArray.

ArrayVector<U> permuteLikewise | ( | ArrayVector< U > const & | data | ) | const

Permute the entries of the given array data exactly like the axes of this NumpyArray were permuted upon conversion from numpy.

TinyVector<U, K> permuteLikewise | ( | TinyVector< U, K > const & | data | ) | const

Permute the entries of the given array data exactly like the axes of this NumpyArray were permuted upon conversion from numpy.

TinyVector<npy_intp, K> permuteLikewise | ( |  | ) | const

Get the permutation of the axes of this NumpyArray that was performed upon conversion from numpy.

static bool isCopyCompatible | ( | PyObject * | obj | ) | `[static]`

Test whether a given python object is a numpy array that can be converted (copied) into an array compatible to this NumpyArray type. This means that the array's shape conforms to the requirements of makeCopy().

static bool isReferenceCompatible | ( | PyObject * | obj | ) | `[static]`

Test whether a given python object is a numpy array with a compatible dtype and the correct shape and strides, so that it can be referenced as a view by this NumpyArray type (i.e. it conforms to the requirements of makeReference()).

static bool isStrictlyCompatible | ( | PyObject * | obj | ) | `[static]`

Deprecated, use isReferenceCompatible(obj) instead.

static difference_type standardStrideOrdering | ( |  | ) | `[static]`

Create a vector representing the standard stride ordering of a NumpyArray. That is, we get a vector representing the range [0,...,N-1], which denotes the stride ordering for Fortran order.

void makeReferenceUnchecked | ( | PyObject * | obj | ) |

Set up a view to the given object without checking compatibility. This function must not be used unless isReferenceCompatible(obj) returned true on the given object (otherwise, a crash is likely).

bool makeReference | ( | PyObject * | obj,
|  | bool | = `false`
| ) |  |

Try to set up a view referencing the given PyObject. Returns false if the python object is not a compatible numpy array (see isReferenceCompatible()).

The second parameter ('strict') is deprecated and will be ignored.

bool makeReference | ( | const NumpyAnyArray & | array,
|  | bool | strict = `false`
| ) |  |

Try to set up a view referencing the same data as the given NumpyAnyArray. This overloaded variant simply calls makeReference() on array.pyObject(). The parameter strict is deprecated and will be ignored.

void makeUnsafeReference | ( | const view_type & | multiArrayView | ) |

Set up an unsafe reference to the given MultiArrayView. ATTENTION: This creates a numpy.ndarray that points to the same data, but does not own it, so it must be ensured by other means that the memory does not get freed before the end of the ndarray's lifetime! (One elegant way would be to set the 'base' attribute of the resulting ndarray to a python object which directly or indirectly holds the memory of the given MultiArrayView.)

void makeCopy | ( | PyObject * | obj,
|  | bool | strict = `false`
| ) |  |

Try to create a copy of the given PyObject. Raises an exception when obj is not a compatible array (see isCopyCompatible() or isReferenceCompatible(), according to the parameter strict) or the Python constructor call failed.

void reshape | ( | difference_type const & | shape | ) |

Allocate new memory with the given shape and initialize with zeros.
If a stride ordering is given, the resulting array will have this stride ordering, when it is compatible with the array's memory layout (unstrided arrays only permit the standard ascending stride ordering).

Note: this operation invalidates dependent objects (MultiArrayViews and iterators)

void reshapeIfEmpty | ( | difference_type const & | shape,
|  | std::string | message = `""`
| ) |  |

When this array has no data, allocate new memory with the given shape and initialize with zeros. Otherwise, check if the new shape matches the old shape and throw a precondition exception with the given message if not.

void reshapeIfEmpty | ( | TaggedShape | tagged_shape,
|  | std::string | message = `""`
| ) |  |

When this array has no data, allocate new memory with the given shape and initialize with zeros. Otherwise, check if the new shape matches the old shape and throw a precondition exception with the given message if not.

The documentation for this class was generated from the following file:

- vigra/numpy_array.hxx

© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) Heidelberg Collaboratory for Image Processing, University of Heidelberg, Germany | html generated using doxygen and Python vigra 1.9.0 (Tue Nov 6 2012)