Question

我试图通过循环来合并数据帧，因为每个循环都基于不同的列合并数据帧。

以下是我目前所拥有的：

f1 = pd.DataFrame({"color": ["blue", "yellow", "red"],
                    "abbv": ["b", "y", "r"]})

df2 = pd.DataFrame({"color_1": ["blue", "red", "yellow"],
                        "color_2": ["yellow", "blue", "red"],
                        "total": ["green", "purple", "orange"]})

drop_column = df1.columns.tolist()
drop_column.remove("abbv") 

co = "color"
dd4 = []
for i in [1,2]:
    dd3 = pd.merge(df2,df1,
          left_on = f"{co}_{i}",
          right_on = "color",
          how="left")
    
    dd3 = dd3.rename(columns={"abbv":f"abbv_{i}"}).drop(drop_column, axis=1)
    
    dd4.append(dd3)

print(dd4)

这是输出：

          [  color_1 color_2   total abbv_1
          0    blue  yellow   green      b
          1     red    blue  purple      r
          2  yellow     red  orange      y,   color_1 color_2   total abbv_2
          0    blue  yellow   green      y
          1     red    blue  purple      b
          2  yellow     red  orange      r]

我想要实现的目标：

<头>

color_1	color_2	总计	abbv_1	abbv_2
蓝色	黄色	绿色	b	y
.	.	.	.	.
.	.	.	.	.

Answer 1

如果我理解你的问题，你想使用public class PaymentModel { public string CreditorName { get; set; } = default!; public CreditorAccounts CreditorAccount { get; set; } = default!; public DebtorAccounts DebtorAccount { get; set; } = default!; public InstructedAmounts InstructedAmount { get; set; } = default!; public string RemittanceInformationUnstructured { get; set; } = default!; public class CreditorAccounts { public string Iban { get; set; } = default!; public string Currency { get; set; } = default!; } public class DebtorAccounts { public string Iban { get; set; } = default!; public string Currency { get; set; } = default!; } public class InstructedAmounts { public string Currency { get; set; } = default!; public string Amount { get; set; } = default!; } public class PaymentAccounts { public string Iban { get; set; } = default!; public string Currency { get; set; } = default!; } public class PaymentAmounts { public string Currency { get; set; } = default!; public string Amount { get; set; } = default!; } }：

.map

打印：

m = df1.set_index("color")["abbv"]
df2["abbv_1"] = df2["color_1"].map(m)
df2["abbv_2"] = df2["color_2"].map(m)
print(df2)

For循环合并数据框

1 个答案: