如何修复值错误 "Length of Values (1) doesn match length of index (15)"

Question

工作流程=>

读取CSV文件并获取单价列数据
转换列数据价格并创建一个新列作为名称'Fabric'
将输出保存为 xlsx

样本：

Unit Price
----------
330
350
380

I want to convert this data 

Fabric
------
Card
Combed
Viscos

我的代码：

##Fabric Data 
getFabric = df_new['Unit Price']
result = []
for fabric in getFabric:
    if fabric == 310:
        result.append("Card")        
    elif fabric == 330:
        result.append("Combed Dawah")
    elif fabric == 350:
        result.append("Combed Regular")
    elif fabric == 490:
        result.append("Viscos")
    elif fabric == 550:
        result.append("Pleated")
    else:
        result.append(fabric)
    df_new['Fabric'] = result

错误：

Answer 1

已迭代列值。试试这个，

pandas built-in function called .replace() 对于替换列中的值很有用，无需迭代

df_new['Unit Price'].replace({310: 'Card', 330: 'Combed Dawah', 350: 'Combed Regular', 490: 'Viscos', 550: 'Pleated'}, inplace=True)

以上代码将成功替换数据框列值 inplace.

Answer 2

这很简单，伙计...

your_df["Fabric"] = your_df["Unit Price"].apply(lambda x: str(x).replace("330", "Card"))

# do this for every conversion

your_df.to_csv("filename.csv")

以上代码可以保存为CSV文件，可以在MS中查看EXCEL

如何修复值错误 "Length of Values (1) doesn match length of index (15)"

How to fix Value error "Length of Values (1) doesn match length of index (15)"

python

pandas

valueerror