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numpy.fromfunction(function, shape, **kwargs)
[source] -
Construct an array by executing a function over each coordinate.
The resulting array therefore has a value
fn(x, y, z)
at coordinate(x, y, z)
.Parameters: function : callable
The function is called with N parameters, where N is the rank of
shape
. Each parameter represents the coordinates of the array varying along a specific axis. For example, ifshape
were(2, 2)
, then the parameters in turn be (0, 0), (0, 1), (1, 0), (1, 1).shape : (N,) tuple of ints
Shape of the output array, which also determines the shape of the coordinate arrays passed to
function
.dtype : data-type, optional
Data-type of the coordinate arrays passed to
function
. By default,dtype
is float.Returns: fromfunction : any
The result of the call to
function
is passed back directly. Therefore the shape offromfunction
is completely determined byfunction
. Iffunction
returns a scalar value, the shape offromfunction
would match theshape
parameter.Notes
Keywords other than
dtype
are passed tofunction
.Examples
>>> np.fromfunction(lambda i, j: i == j, (3, 3), dtype=int) array([[ True, False, False], [False, True, False], [False, False, True]], dtype=bool)
>>> np.fromfunction(lambda i, j: i + j, (3, 3), dtype=int) array([[0, 1, 2], [1, 2, 3], [2, 3, 4]])
numpy.fromfunction()
2017-01-10 18:14:08
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