def to_csv(self, fname_radical, **kwargs):
        """
        Save data to the csv format by default, in two separate files.

        Optional keyword arguments can be passed to pandas.
        """
        if self.data is not None:
            self.data.to_csv(fname_radical+'_data.csv', index=False, **kwargs)
            pd.DataFrame(self.adjacency_matrix).to_csv(fname_radical \
                                                       + '_target.csv',
                                                       index=False, **kwargs)

        else:
            raise ValueError("Graph has not yet been generated. \
                              Use self.generate() to do so.")
def to_csv(self, fname_radical, **kwargs):
        """
        Save data to the csv format by default, in two separate files.

        Optional keyword arguments can be passed to pandas.
        """
        if self.data is not None:
            self.data.to_csv(fname_radical+'_data.csv', index=False, **kwargs)
            pd.DataFrame(self.adjacency_matrix).to_csv(fname_radical \
                                                       + '_target.csv',
                                                       index=False, **kwargs)

        else:
            raise ValueError("Graph has not yet been generated. \
                              Use self.generate() to do so.")
def to_csv ( self , fname_radical , * * kwargs ) : if self . data is not None : self . data . to_csv ( fname_radical + '_data.csv' , index = False , * * kwargs ) pd . DataFrame ( self . adjacency_matrix ) . to_csv ( fname_radical + '_target.csv' , index = False , * * kwargs ) else : raise ValueError ( "Graph has not yet been generated. \
                              Use self.generate() to do so." )
Save data to the csv format by default, in two separate files.

        Optional keyword arguments can be passed to pandas.
Save data to the csv format by default in two separate files .