numpy.copyto#

numpy.copyto(dst,src,casting='same_kind',where=True)#

Copies values from one array to another, broadcasting as necessary.

Raises a TypeError if thecasting rule is violated, and ifwhere is provided, it selects which elements to copy.

Parameters:

dstndarray

The array into which values are copied.

srcarray_like

The array from which values are copied.

casting{‘no’, ‘equiv’, ‘safe’, ‘same_kind’, ‘unsafe’}, optional

Controls what kind of data casting may occur when copying.

• ‘no’ means the data types should not be cast at all.

• ‘equiv’ means only byte-order changes are allowed.

• ‘safe’ means only casts which can preserve values are allowed.

• ‘same_kind’ means only safe casts or casts within a kind,like float64 to float32, are allowed.

• ‘unsafe’ means any data conversions may be done.

wherearray_like of bool, optional

A boolean array which is broadcasted to match the dimensionsofdst, and selects elements to copy fromsrc todstwherever it contains the value True.

Examples

Try it in your browser!

>>>importnumpyasnp>>>A=np.array([4,5,6])>>>B=[1,2,3]>>>np.copyto(A,B)>>>Aarray([1, 2, 3])

>>>A=np.array([[1,2,3],[4,5,6]])>>>B=[[4,5,6],[7,8,9]]>>>np.copyto(A,B)>>>Aarray([[4, 5, 6],       [7, 8, 9]])

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