numpy.full()
numpy.full
-
numpy.full(shape, fill_value, dtype=None, order='C')
[source] -
Return a new array of given shape and type, filled with
fill_value
.Parameters: shape : int or sequence of ints
Shape of the new array, e.g.,
(2, 3)
or2
.fill_value : scalar
Fill value.
dtype : data-type, optional
The desired data-type for the array, e.g.,
np.int8
. Default isfloat
, but will change tonp.array(fill_value).dtype
in a future release.order : {‘C’, ‘F’}, optional
Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.
Returns: out : ndarray
Array of
fill_value
with the given shape, dtype, and order.See also
zeros_like
- Return an array of zeros with shape and type of input.
ones_like
- Return an array of ones with shape and type of input.
empty_like
- Return an empty array with shape and type of input.
full_like
- Fill an array with shape and type of input.
zeros
- Return a new array setting values to zero.
ones
- Return a new array setting values to one.
empty
- Return a new uninitialized array.
Examples
>>> np.full((2, 2), np.inf) array([[ inf, inf], [ inf, inf]]) >>> np.full((2, 2), 10, dtype=np.int) array([[10, 10], [10, 10]])
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Licensed under the NumPy License.
https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.full.html