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:

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.

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.

>>> np.full((2, 2), np.inf)
array([[ inf,  inf],
       [ inf,  inf]])
>>> np.full((2, 2), 10, dtype=np.int)
array([[10, 10],
       [10, 10]])

Links:

doc_NumPy

2017-01-10 18:14:11

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