empty Return a new array of given shape and type. np.empty((3,3)) >>> array([[-1., 0., 5.], [12., 18., 24.], [35., 60., inf]]) where Return elements depending on condition. ar=np.arange(1,10) np.where(ar>5) >>> (array([5, 6, 7, 8]),) allclose Returns True if two arrays are element-wise equal. np.allclose([2,3],[2,3],equal_nan=True) >>> True equal_nan : Whether to compare NaN’s as equal. If True,..
