def read(self, **keys):
if self.is_scalar:<EOL><INDENT>data = self.fitshdu.read_column(self.columns, **keys)<EOL><DEDENT>else:<EOL><INDENT>c = keys.get('<STR_LIT>', None)<EOL>if c is None:<EOL><INDENT>keys['<STR_LIT>'] = self.columns<EOL><DEDENT>data = self.fitshdu.read(**keys)<EOL><DEDENT>return data<EOL>
Read the data from disk and return as a numpy array