Question

example: in this link, price and units columns need to transformed in to separate rows

请参阅图片说明链接。

      Name item   variable  Price   variable   Units  
0  Vehicle  Car  Wk1 price    978  Wk1 units     100
1  Vehicle  Car  Wk2 price    966  Wk2 units     120

当我使用熔化时，我将价格和单位都放在一列中。有没有办法将价格和单位作为单独的列

<dependency>
    <groupId>org.springframework.security</groupId>
    <artifactId>spring-security-crypto</artifactId>
    <version>4.2.4.RELEASE</version>
</dependency>

有没有办法以下面的格式获得输出？

mvn -U clean install

Answer 1

我试了一下

第1步 - 创建数据框

data = pd.DataFrame([{"Name":"Vehicle", "item":"Car", "Wk1 price":978, "Wk2 price":966, "Wk1 units":100, "Wk2 units":120}])

步骤2 - 融合数据框并分离“度量”和“值”

data = data.melt(id_vars = ['Name', 'item'])
data["Week"] = [re.findall("[AaZz]*.*?(?=\s)",x)[0] for x in data["variable"]]
data["Metric"] = [re.findall("\s([AaZz]*.*)",x)[0] for x in data["variable"]]
data = data.drop(["variable"],axis=1)

第3步 - 透过数据框

data.pivot_table(index=["Name","item","Week"], columns="Metric", values="value").reset_index()

如何将pandas数据框中的2个以上不同列重新整形为行？

1 个答案: