Пример #1
0
def array(input_array):
    """Construct an :class:`.NDArrayExpression`

    Examples
    --------

    >>> hl.eval(hl.nd.array([1, 2, 3, 4]))
    array([1, 2, 3, 4], dtype=int32)

    >>> hl.eval(hl.nd.array([[1, 2, 3], [4, 5, 6]]))
    array([[1, 2, 3],
       [4, 5, 6]], dtype=int32)

    >>> hl.eval(hl.nd.array(np.identity(3)))
    array([[1., 0., 0.],
       [0., 1., 0.],
       [0., 0., 1.]])

    >>> hl.eval(hl.nd.array(hl.range(10, 20)))
    array([10, 11, 12, 13, 14, 15, 16, 17, 18, 19], dtype=int32)

    Parameters
    ----------
    input_array : :class:`.ArrayExpression` or numpy ndarray or nested python lists

    Returns
    -------
    :class:`.NDArrayExpression`
        An ndarray based on the input array.
    """
    return _ndarray(input_array)
Пример #2
0
Файл: nd.py Проект: saponas/hail
def array(input_array, dtype=None):
    """Construct an :class:`.NDArrayExpression`

    Examples
    --------

    >>> hl.eval(hl.nd.array([1, 2, 3, 4]))
    array([1, 2, 3, 4], dtype=int32)

    >>> hl.eval(hl.nd.array([[1, 2, 3], [4, 5, 6]]))
    array([[1, 2, 3],
       [4, 5, 6]], dtype=int32)

    >>> hl.eval(hl.nd.array(np.identity(3)))
    array([[1., 0., 0.],
       [0., 1., 0.],
       [0., 0., 1.]])

    >>> hl.eval(hl.nd.array(hl.range(10, 20)))
    array([10, 11, 12, 13, 14, 15, 16, 17, 18, 19], dtype=int32)

    Parameters
    ----------
    input_array : :class:`.ArrayExpression`, numpy ndarray, or nested python lists/tuples
    dtype : :class:`.HailType`
        Desired hail type.  Default: `float64`.

    Returns
    -------
    :class:`.NDArrayExpression`
        An ndarray based on the input array.
    """
    return _ndarray(input_array, dtype=dtype)
Пример #3
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def arange(start, stop=None, step=1) -> NDArrayNumericExpression:
    """Returns a 1-dimensions ndarray of integers from `start` to `stop` by `step`.

    Examples
    --------

    >>> hl.eval(hl.nd.arange(10))
    array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=int32)

    >>> hl.eval(hl.nd.arange(3, 10))
    array([3, 4, 5, 6, 7, 8, 9], dtype=int32)

    >>> hl.eval(hl.nd.arange(0, 10, step=3))
    array([0, 3, 6, 9], dtype=int32)

    Notes
    -----
    The range includes `start`, but excludes `stop`.

    If provided exactly one argument, the argument is interpreted as `stop` and
    `start` is set to zero. This matches the behavior of Python's ``range``.

    Parameters
    ----------
    start : int or :class:`.Expression` of type :py:data:`.tint32`
        Start of range.
    stop : int or :class:`.Expression` of type :py:data:`.tint32`
        End of range.
    step : int or :class:`.Expression` of type :py:data:`.tint32`
        Step of range.

    Returns
    -------
    :class:`.NDArrayNumericExpression`
        A 1-dimensional ndarray from `start` to `stop` by `step`.
    """
    return _ndarray(hl.range(start, stop, step))
Пример #4
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def array(input_array):
    return _ndarray(input_array)