Table.py 文件源码

def to_numpy(self):
        """Return a numpy array with the content of a crosstab"""

        # Set numpy table type based on the crosstab's type...
        if isinstance(self, IntPivotCrosstab):
            np_type = np.dtype(np.int32)
        elif isinstance(self, PivotCrosstab):
            np_type = np.dtype(np.float32)

        # Initialize numpy table...
        np_table = np.empty([len(self.row_ids), len(self.col_ids)], np_type)
        np_table.fill(self.missing or 0)

        # Fill and return numpy table...
        for row_idx in xrange(len(self.row_ids)):
            for col_idx in xrange(len(self.col_ids)):
                try:
                    np_table[row_idx][col_idx] = self.values[
                        (self.row_ids[row_idx], self.col_ids[col_idx])
                    ]
                except KeyError:
                    pass
        return np_table

    # TODO: test.