如何在 pandas 數據幀的單列內的行上應用 function？

Question

我正在使用一個地址解析庫，它以下列方式接受字符串

import pyap
test_address = """
   4998 Stairstep Lane Toronto ON   
    """
addresses = pyap.parse(test_address, country='CA')
for address in addresses:
        # shows found address
        print(address)
        # shows address parts
        print(address.as_dict())

我想在單個 pandas 數據框列的每一行上使用這個 function

addresses.apply(lambda x: pyap.parse(x['address'], country='CA'),axis=1)

雖然這會運行，但它會產生一系列而不是“pyap.address.Address”

Answer 1

你必須做你所做的，但反過來：假設你的 dataframe 是這樣的：

d = [{'id': '1', 'address': '4998 Stairstep Lane Toronto ON'}, {'id': '2', 'address': '1234 Stairwell Road Toronto ON'}] 
df = pd.DataFrame(d) 
df

    id  address
0   1   4998 Stairstep Lane Toronto ON
1   2   1234 Stairwell Road Toronto ON

將這些地址提取到列表中

address_list = df['address'].tolist()

然后用pyapp處理每個：

for al in address_list:
   addresses = pyap.parse(al, country='CA')
   for address in addresses:
        print(address)
        print(address.as_dict())

讓我知道它是否有效。