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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 read_column(self, column, where=None, start=None, stop=None):
 """return a single column from the table, generally only indexables are interesting """


        # validate the version
        self.validate_version()

        # infer the data kind
        if not self.infer_axes():
            return False

        if where is not None:
            raise TypeError("read_column does not currently accept a where "
                            "clause")

        # find the axes
        for a in self.axes:
            if column == a.name:

                if not a.is_data_indexable:
                    raise ValueError(
                        "column [{column}] can not be extracted individually; "
                        "it is not data indexable".format(column=column))

                # column must be an indexable or a data column
                c = getattr(self.table.cols, column)
                a.set_info(self.info)
                return Series(_set_tz(a.convert(c[start:stop],
                                                nan_rep=self.nan_rep,
                                                encoding=self.encoding,
                                                errors=self.errors
                                                ).take_data(),
                                      a.tz, True), name=column)

        raise KeyError(
            "column [{column}] not found in the table".format(column=column))