def cleaner_pipeline(self,
drop_keywords,
inplace=None,
missing_percentage=10):
cleaner = Cleaner(self.df, self.file_type)
cleaner.drop_column_contains(drop_keywords)
cleaner.drop_sentence_columns(inplace=inplace)
cleaner.drop_date_columns(inplace=inplace)
cleaner.drop_missing_columns(missing_percentage)
cleaner.strip_signs()
cleaner.drop_special_columns(inplace=inplace)
df = cleaner.space_to_underscore()
return df
