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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).dtypein 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_valuewith the given shape, dtype, and order.See also
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zeros_like - Return an array of zeros with shape and type of input.
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ones_like - Return an array of ones with shape and type of input.
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empty_like - Return an empty array with shape and type of input.
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full_like - Fill an array with shape and type of input.
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zeros - Return a new array setting values to zero.
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ones - Return a new array setting values to one.
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empty - Return a new uninitialized array.
Examples
123456>>> np.full((2,2), np.inf)array([[ inf, inf],[ inf, inf]])>>> np.full((2,2),10, dtype=np.int)array([[10,10],[10,10]]) -
numpy.full()
2025-01-10 15:47:30
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