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# numpy.copyto

`numpy.``copyto`(dst, src, casting='same_kind', where=None, preservena=False)

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

  Raises a TypeError if the casting rule is violated, and if `where` is provided, it selects which elements to copy.

  New in version 1.7.0.

  Parameters : | dst : ndarray The array into which values are copied. src : array_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. where : array_like of bool, optional A boolean array which is broadcasted to match the dimensions of dst, and selects elements to copy from src to dst wherever it contains the value True. preservena : bool, optional If set to True, leaves any NA values in dst untouched. This is similar to the “hard mask” feature in numpy.ma.

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