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., fill_value : scalar Fill value. dtype : data-type, optional The desired data-type for the array, e.g., 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 |
See also
zeros_like
ones_like
empty_like
full_like
zeros
ones
empty
>>> 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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https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.full.html