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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 get_obsmeta(self, lcid):
 """Get the observation metadata for the given id. This is table 3 of Sesar 2010 """

        if self._obsdata is None:
            self._obsdata = fetch_rrlyrae_fitdata()
        i = np.where(self._obsdata['id'] == lcid)[0]
        if len(i) == 0:
            raise ValueError("invalid lcid: {0}".format(lcid))
        return self._obsdata[i[0]]