在 python 中将字典转换为 pandas 数据框

Question

我正在查询 API 并从中提取我需要的数据。然后我想将其转换为 pandas 数据框，但不确定最佳方法。我有一些有用但非常复杂的东西。下面的示例数据是一个字典，但这实际上来自 API 但它明白了这一点。

invoice_header =        {
                        "VendorName" : "spinxy tester",
                        "VendorAddress" :"Unit 1 Anglesey Business Park argyle",
                        "CustomerName": "brick and mortar tavern",
                        "CustomerId": "73014207",
                        "CustomerAddress": "112 Main Street",
                        "CustomerAddressRecipient": "brick and mortar tavern",
                        "InvoiceId": "57953",
                        "InvoiceDate": "None",
                        "InvoiceTotal": "3474.0"
                        }
InvoiceNumber = "R20140.pdf"
all_invoices = {}
for key, value in invoice_header.items():
    all_invoices[key] = value    
all_invoices
df = pd.DataFrame(list(all_invoices.items()))
df = df.transpose()
df.columns = df.iloc[0]
df.drop(df.index[0], inplace=True)

Answer 1

我可能遗漏了一些东西，但这就是您想要的吗？

df2 = pd.DataFrame([invoice_header])

在我看来和 df 一样

在 python 中将字典转换为 pandas 数据框

converting dictionary to pandas dataframe in python

invoice

dataframe

pandas