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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def standardize_back(xs, offset, scale):
 """ This is function for de-standarization of input series. **Args:** * `xs` : standardized input (1 dimensional array) * `offset` : offset to add (float). * `scale` : scale (float). **Returns:** * `x` : original (destandardised) series """

    try:
        offset = float(offset)
    except:
        raise ValueError('The argument offset is not None or float.') 
    try:
        scale = float(scale)
    except:
        raise ValueError('The argument scale is not None or float.')
    try:
        xs = np.array(xs, dtype="float64")
    except:
        raise ValueError('The argument xs is not numpy array or similar.')
    return xs*scale + offset