numpy.equal

numpy.equal(x1, x2, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'equal'>

Return (x1 == x2) element-wise.

Parameters:

x1, x2 : array_like

Input arrays of the same shape.

out : ndarray, None, or tuple of ndarray and None, optional

A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

where : array_like, optional

Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.

**kwargs

For other keyword-only arguments, see the ufunc docs.

Returns:

out : ndarray or bool

Output array of bools, or a single bool if x1 and x2 are scalars.

See also

not_equal, greater_equal, less_equal, greater, less

Examples

>>> np.equal([0, 1, 3], np.arange(3))
array([ True,  True, False], dtype=bool)

What is compared are values, not types. So an int (1) and an array of length one can evaluate as True:

>>> np.equal(1, np.ones(1))
array([ True], dtype=bool)