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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 compute_xy( self, projection: Union[pyproj.Proj, crs.Projection, None] = None ):
 """Computes x and y columns from latitudes and longitudes. The source projection is WGS84 (EPSG 4326). The default destination projection is a Lambert Conformal Conical projection centered on the data inside the dataframe. For consistency reasons with pandas DataFrame, a new Traffic structure is returned. """

        if isinstance(projection, crs.Projection):
            projection = pyproj.Proj(projection.proj4_init)

        if projection is None:
            projection = pyproj.Proj(
                proj="lcc",
                lat_1=self.data.latitude.min(),
                lat_2=self.data.latitude.max(),
                lat_0=self.data.latitude.mean(),
                lon_0=self.data.longitude.mean(),
            )

        x, y = pyproj.transform(
            pyproj.Proj(init="EPSG:4326"),
            projection,
            self.data.longitude.values,
            self.data.latitude.values,
        )

        return self.__class__(self.data.assign(x=x, y=y))