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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 select(self, crit, axis=0):
 """ Return data corresponding to axis labels matching criteria. .. deprecated:: 0.21.0 Use df.loc[df.index.map(crit)] to select via labels Parameters crit : function To be called on each index (label). Should return True or False axis : int Returns ------- selection : same type as caller """

        warnings.warn("'select' is deprecated and will be removed in a "
                      "future release. You can use "
                      ".loc[labels.map(crit)] as a replacement",
                      FutureWarning, stacklevel=2)

        axis = self._get_axis_number(axis)
        axis_name = self._get_axis_name(axis)
        axis_values = self._get_axis(axis)

        if len(axis_values) > 0:
            new_axis = axis_values[
                np.asarray([bool(crit(label)) for label in axis_values])]
        else:
            new_axis = axis_values

        return self.reindex(**{axis_name: new_axis})