numpy.full
- numpy. full ( shape, fill_value, dtype=None, order='C', *, like=None ) [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 or array_like
-
Fill value.
- dtype data-type, optional
-
- The desired data-type for the array The default, None, means
-
np.array(fill_value).dtype
.
- order {‘C’, ‘F’}, optional
-
Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.
- like array_like
-
Reference object to allow the creation of arrays which are not NumPy arrays. If an array-like passed in as
like
supports the__array_function__
protocol, the result will be defined by it. In this case, it ensures the creation of an array object compatible with that passed in via this argument.New in version 1.20.0.
- Returns
-
- out ndarray
-
Array of
fill_value
with the given shape, dtype, and order.
See also
Examples
>>> np.full((2, 2), np.inf) array([[inf, inf], [inf, inf]]) >>> np.full((2, 2), 10) array([[10, 10], [10, 10]])
>>> np.full((2, 2), [1, 2]) array([[1, 2], [1, 2]])
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https://numpy.org/doc/1.22/reference/generated/numpy.full.html