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) or 2.
fill_value : scalar
Fill value.
dtype : data-type, optional
The desired data-type for the array, e.g., np.int8. Default is float, but will change to np.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]])