def is_scalar_nan(x):
    """Tests if x is NaN
    This function is meant to overcome the issue that np.isnan does not allow
    non-numerical types as input, and that np.nan is not np.float('nan').
    Parameters
    ----------
    x : any type
    Returns
    -------
    boolean
    Examples
    --------
    >>> is_scalar_nan(np.nan)
    True
    >>> is_scalar_nan(float("nan"))
    True
    >>> is_scalar_nan(None)
    False
    >>> is_scalar_nan("")
    False
    >>> is_scalar_nan([np.nan])
    False
    """

    # convert from numpy.bool_ to python bool to ensure that testing
    # is_scalar_nan(x) is True does not fail.
    # Redondant np.floating is needed because numbers can't match np.float32
    # in python 2.
    return bool(isinstance(x, (numbers.Real, np.floating)) and np.isnan(x))
Tests if x is NaN
    This function is meant to overcome the issue that np.isnan does not allow
    non-numerical types as input, and that np.nan is not np.float('nan').
    Parameters
    ----------
    x : any type
    Returns
    -------
    boolean
    Examples
    --------
    >>> is_scalar_nan(np.nan)
    True
    >>> is_scalar_nan(float("nan"))
    True
    >>> is_scalar_nan(None)
    False
    >>> is_scalar_nan("")
    False
    >>> is_scalar_nan([np.nan])
    False