必备！人工智能和数据科学的七大 Python 库(18)_图1

.cols.date_transform("birth","new_date","yyyy/MM/dd","dd-MM-YYYY")\

.cols.years_between("birth","years_between","yyyy/MM/dd")\

.cols.remove_accents("lastName")\

.cols.remove_special_chars("lastName")\

.cols.replace("product","taaaccoo","taco")\

.cols.replace("product",["piza","pizzza"],"pizza")\

.rows.drop(df["id"]

.cols.drop("dummyCol")\

.cols.rename(str.lower)\

.cols.apply_by_dtypes("product",func,"string", data_type="integer")\

.cols.trim("*")\

.show()

你可以将这个表格

必备！人工智能和数据科学的七大 Python 库(18)