Module « numpy.matlib »

Classe « recarray »

Informations générales

Héritage

builtins.object
    ndarray
        recarray

Définition

class recarray(ndarray):

Description _{[extrait de recarray.__doc__]}

Construct an ndarray that allows field access using attributes.

    Arrays may have a data-types containing fields, analogous
    to columns in a spread sheet.  An example is ``[(x, int), (y, float)]``,
    where each entry in the array is a pair of ``(int, float)``.  Normally,
    these attributes are accessed using dictionary lookups such as ``arr['x']``
    and ``arr['y']``.  Record arrays allow the fields to be accessed as members
    of the array, using ``arr.x`` and ``arr.y``.

    Parameters
    ----------
    shape : tuple
        Shape of output array.
    dtype : data-type, optional
        The desired data-type.  By default, the data-type is determined
        from `formats`, `names`, `titles`, `aligned` and `byteorder`.
    formats : list of data-types, optional
        A list containing the data-types for the different columns, e.g.
        ``['i4', 'f8', 'i4']``.  `formats` does *not* support the new
        convention of using types directly, i.e. ``(int, float, int)``.
        Note that `formats` must be a list, not a tuple.
        Given that `formats` is somewhat limited, we recommend specifying
        `dtype` instead.
    names : tuple of str, optional
        The name of each column, e.g. ``('x', 'y', 'z')``.
    buf : buffer, optional
        By default, a new array is created of the given shape and data-type.
        If `buf` is specified and is an object exposing the buffer interface,
        the array will use the memory from the existing buffer.  In this case,
        the `offset` and `strides` keywords are available.

    Other Parameters
    ----------------
    titles : tuple of str, optional
        Aliases for column names.  For example, if `names` were
        ``('x', 'y', 'z')`` and `titles` is
        ``('x_coordinate', 'y_coordinate', 'z_coordinate')``, then
        ``arr['x']`` is equivalent to both ``arr.x`` and ``arr.x_coordinate``.
    byteorder : {'<', '>', '='}, optional
        Byte-order for all fields.
    aligned : bool, optional
        Align the fields in memory as the C-compiler would.
    strides : tuple of ints, optional
        Buffer (`buf`) is interpreted according to these strides (strides
        define how many bytes each array element, row, column, etc.
        occupy in memory).
    offset : int, optional
        Start reading buffer (`buf`) from this offset onwards.
    order : {'C', 'F'}, optional
        Row-major (C-style) or column-major (Fortran-style) order.

    Returns
    -------
    rec : recarray
        Empty array of the given shape and type.

    See Also
    --------
    core.records.fromrecords : Construct a record array from data.
    record : fundamental data-type for `recarray`.
    format_parser : determine a data-type from formats, names, titles.

    Notes
    -----
    This constructor can be compared to ``empty``: it creates a new record
    array but does not fill it with data.  To create a record array from data,
    use one of the following methods:

    1. Create a standard ndarray and convert it to a record array,
       using ``arr.view(np.recarray)``
    2. Use the `buf` keyword.
    3. Use `np.rec.fromrecords`.

    Examples
    --------
    Create an array with two fields, ``x`` and ``y``:

    >>> x = np.array([(1.0, 2), (3.0, 4)], dtype=[('x', '<f8'), ('y', '<i8')])
    >>> x
    array([(1., 2), (3., 4)], dtype=[('x', '<f8'), ('y', '<i8')])

    >>> x['x']
    array([1., 3.])

    View the array as a record array:

    >>> x = x.view(np.recarray)

    >>> x.x
    array([1., 3.])

    >>> x.y
    array([2, 4])

    Create a new, empty record array:

    >>> np.recarray((2,),
    ... dtype=[('x', int), ('y', float), ('z', int)]) #doctest: +SKIP
    rec.array([(-1073741821, 1.2249118382103472e-301, 24547520),
           (3471280, 1.2134086255804012e-316, 0)],
          dtype=[('x', '<i4'), ('y', '<f8'), ('z', '<i4')])

    

Constructeur(s)

Signature du constructeur	Description
__new__(subtype, shape, dtype=None, buf=None, offset=0, strides=None, formats=None, names=None, titles=None, byteorder=None, aligned=False, order='C')

Liste des attributs statiques

Attributs statiques hérités de la classe ndarray

base, ctypes, data, dtype, flags, flat, imag, itemsize, nbytes, ndim, real, shape, size, strides, T

Opérateurs hérités de la classe ndarray

__add__, __and__, __contains__, __delitem__, __eq__, __floordiv__, __ge__, __gt__, __iadd__, __iand__, __ifloordiv__, __ilshift__, __imatmul__, __imod__, __imul__, __invert__, __ior__, __ipow__, __irshift__, __isub__, __itruediv__, __ixor__, __le__, __lshift__, __lt__, __matmul__, __mod__, __mul__, __ne__, __neg__, __or__, __pos__, __pow__, __radd__, __rand__, __rfloordiv__, __rlshift__, __rmod__, __rmul__, __ror__, __rpow__, __rrshift__, __rshift__, __rsub__, __rtruediv__, __rxor__, __setitem__, __sub__, __truediv__, __xor__

Opérateurs hérités de la classe object

__eq__, __ge__, __gt__, __le__, __lt__, __ne__

Méthodes héritées de la classe ndarray

__abs__, __array__, __array_function__, __array_prepare__, __array_ufunc__, __array_wrap__, __bool__, __complex__, __copy__, __deepcopy__, __divmod__, __float__, __format__, __index__, __init_subclass__, __int__, __iter__, __len__, __rdivmod__, __reduce__, __reduce_ex__, __rmatmul__, __setstate__, __sizeof__, __str__, __subclasshook__, all, any, argmax, argmin, argpartition, argsort, astype, byteswap, choose, clip, compress, conj, conjugate, copy, cumprod, cumsum, diagonal, dot, dump, dumps, fill, flatten, getfield, item, itemset, max, mean, min, newbyteorder, nonzero, partition, prod, ptp, put, ravel, repeat, reshape, resize, round, searchsorted, setfield, setflags, sort, squeeze, std, sum, swapaxes, take, tobytes, tofile, tolist, tostring, trace, transpose, var, view

Méthodes héritées de la classe object

__delattr__, __dir__, __format__, __hash__, __init_subclass__, __reduce__, __reduce_ex__, __sizeof__, __str__, __subclasshook__