numpy.full(shape, fill_value, dtype=None, order='C', *, device=None, like=None)
Return a new array of given shape and type, filled with fill_value.
Parameters:shapeint or sequence of intsShape of the new array, e.g., (2,3) or 2.
fill_valuescalar or array_likeFill value.
dtypedata-type, optionalThe desired data-type for the array The default, None, meansnp.array(fill_value).dtype.
order{‘C’, ‘F’}, optionalWhether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.
devicestr, optionalThe device on which to place the created array. Default: None. For Array-API interoperability only, so must be "cpu" if passed.
Added in version 2.0.0.
likearray_like, optionalReference 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.
Added in version 1.20.0.
Returns:outndarrayArray of fill_value with the given shape, dtype, and order.
See also
Return a new array with shape of input filled with value.
Return a new uninitialized array.
Return a new array setting values to one.
Return a new array setting values to zero.
Examples
>>> importnumpyasnp>>> 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]])