Pandas实战教程 | 统一替换某列中的值 .replace()

• 🔗 运行环境：python3
• 🚩 作者：K同学啊
• 🥇 精选专栏：《深度学习100例》
• 🔥 推荐专栏：《新手入门深度学习》
• 📚 选自专栏：《Matplotlib教程》
• 🧿 优秀专栏：《Python入门100题》

原始数据

data_2 = data.copy(deep=True)  # 进行深度复制
data_2["SEX"]       = data_2["SEX"].replace([1,2],["男","女"])
data_2["EDUCATION"] = data_2["EDUCATION"].replace([1,2,3,4,0,5,6],["硕士","本科","高中","其他","未知","未知","未知"])
data_2["MARRIAGE"]  = data_2["MARRIAGE"].replace([0,1,2,3],["未知","已婚","未婚","其他"])
data_2.head()

替换后的数据