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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 delete_rows(self, condition, info_str=None):
 """ delete all rows with condition==True inplace Parameters condition : pandas DataFrame indexer all self.df rows that meet this condition will be deleted info_str : str description of the kind of rows to be deleted, e.g "specimen rows with blank method codes" Returns -------- df_data : pandas DataFrame updated self.df """

        self.df['num'] = list(range(len(self.df)))
        df_data = self.df
        # delete all records that meet condition
        if len(df_data[condition]) > 0:  #we have one or more records to delete
            inds = df_data[condition]['num'] # list of all rows where condition is TRUE
            for ind in inds[::-1]:
                df_data = self.delete_row(ind)
                if info_str:
                    print("-I- Deleting {}. ".format(info_str), end=' ')
                    print('deleting row {}'.format(str(ind)))
        # sort so that all rows for an item are together
        df_data.sort_index(inplace=True)
        # redo temporary index
        df_data['num'] = list(range(len(df_data)))
        self.df = df_data
        return df_data