HYTOS

                        name = value_ if value_ else ''

                        if name in self.keywords and name != name_type:

                            continue

                        value_ = df.iloc[row, 1]

                        #if value_normal and value_normal != '-' and len(sheets) > 1:

                        if value_normal and type(value_normal) is float and len(sheets) > 1:

                            for sheet in sheets[1:]:

                                value = value_ if (type(value_) is str) or (type(value_) is float and not math.isnan(value_)) \

                                    else ''

                                if value and type(value) is float:

            for data in hmb_datas[0].data:

                if data.name not in names:

                    names.append(data.name)

        header_list.extend(names)

        return header_list

                            matches = [data for data in datas if data.name == name and data.phase == phase]

                            if matches:

                                value = matches[0].value

                                data[name] = value

                            else:

                                matches = [data for data in datas if data.name == name]

                                if matches:

                                    value = matches[0].value

                                    data[name] = value

            return dataList