[英]How to add values into empty column in pandas dataframe?
I'm trying to add values into a new pandas column sp['New Address']
by using a Google Maps API Key and a for-loop that uses the addresses in the column sp['ASL Address (PAPER)-REFERENCE']
as a string query. 我正在尝试通过使用Google Maps API密钥和一个使用
sp['ASL Address (PAPER)-REFERENCE']
列中地址的for循环将值添加到新的pandas列sp['New Address']
。作为字符串查询。
I've tried to create an empty list ( addresses
) that appends the searched addresses when the for-loop is run, and then run another for-loop that is supposed to loop through each row in sp['New Address']
and paste the addresses searched in the original for-loop: 我尝试创建一个空列表(
addresses
),在运行for循环时将其添加到搜索到的地址之后,然后运行另一个应循环通过sp['New Address']
每一行并粘贴的for循环在原始for循环中搜索的地址:
for address in sp['ASL Address (PAPER)-REFERENCE']:
api_key = "API Key"
url = "https://maps.googleapis.com/maps/api/place/textsearch/json?"
query = address
r = requests.get(url + 'query=' + query + '&key=' + api_key)
x = r.json()
z = x['results']
for i in range(len(z)):
for row in sp['New Address']:
addresses = []
sp['New Address'] = addresses.append((z[i]['formatted_address']))
I expected the rows in sp['New Address']
to be filled with an address such as '21 Laurel Brook Rd, Middletown, CT 06457, USA'. 我希望
sp['New Address']
中的行会填充一个地址,例如“美国CT 06457 Middletown的21 Laurel Brook Rd”。 However whenever I run the code, sp['New Address']
is still empty. 但是,每当我运行代码时,
sp['New Address']
仍然为空。
Your bug is simply that .append()
on a list always returns None
, because it works in-place 您的错误很简单, 就是列表上的
.append()
始终返回None
,因为它可以就地工作
(But if you'd attempted to debug this with a few humble print statements in each loop, you would have found that by yourself) (但是,如果您尝试在每个循环中使用一些不起眼的打印语句来调试它,那么您将自己发现这一点)
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