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 havea shape that the inputs broadcast to. If not provided orNone,a freshly-allocated array is returned. A tuple (possible only as akeyword 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, valuesof False indicate to leave the value in the output alone. **kwargs For other keyword-only arguments, see theufunc 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 oflength one can evaluate as True:

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