将 Google 广告 API 结果放入 Dataframe
Put Google Ads API result into Dataframe
我正在为 Python 使用 Google 广告 API SDK。我想获取一些 Ads 数据并将它们放入 Dataframe 中进行一些转换。我使用以下代码拨打了电话:
client = GoogleAdsClient.load_from_storage("config.yaml")
customer_id = '<customer_id>'
ga_service = client.get_service("GoogleAdsService")
query = """
SELECT
campaign.id,
campaign.name,
customer.id
FROM campaign
"""
response = ga_service.search_stream(customer_id=customer_id, query=query)
for batch in response:
for row in batch.results:
print(row)
df = pd.DataFrame(row)
print(df)
这是我收到的回复:
customer {
resource_name: "customers/<customer-id>"
id: <customer-id>
}
campaign {
resource_name: "customers/<customer-id>/campaigns/<campaign-id>"
name: "Test_campaign_1"
id: <campaign-id>
}
Traceback (most recent call last):
File "c:\Users\User\main.py", line 36, in <module>
print(dict(row))
TypeError: 'GoogleAdsRow' object is not iterable
我尝试使用 google.protobuf.json_format 将结果转换为 json/dict 格式,代码如下
from google.protobuf.json_format import MessageToJson
response = ga_service.search_stream(customer_id=customer_id, query=query)
for batch in response:
for row in batch.results:
print(row)
jsonobj = MessageToJson(row)
但我收到以下错误信息:
File "C:\Users\User\AppData\Local\Programs\Python\Python39\lib\site-packages\proto\message.py", line 605, in __getattr__
raise AttributeError(str(ex))
AttributeError: 'DESCRIPTOR'
你能帮我解决这个问题吗?谢谢。
抱歉打扰了,但我找到了 this question 并得到了我问题的答案。
我将我的代码更改为以下(将 ._pb 添加到响应中):
response = ga_service.search(customer_id=customer_id, query=query)
dictobj = MessageToDict(response._pb)
df = pd.json_normalize(dictobj,record_path=['results'])
print(df)
而且有效!
我正在为 Python 使用 Google 广告 API SDK。我想获取一些 Ads 数据并将它们放入 Dataframe 中进行一些转换。我使用以下代码拨打了电话:
client = GoogleAdsClient.load_from_storage("config.yaml")
customer_id = '<customer_id>'
ga_service = client.get_service("GoogleAdsService")
query = """
SELECT
campaign.id,
campaign.name,
customer.id
FROM campaign
"""
response = ga_service.search_stream(customer_id=customer_id, query=query)
for batch in response:
for row in batch.results:
print(row)
df = pd.DataFrame(row)
print(df)
这是我收到的回复:
customer {
resource_name: "customers/<customer-id>"
id: <customer-id>
}
campaign {
resource_name: "customers/<customer-id>/campaigns/<campaign-id>"
name: "Test_campaign_1"
id: <campaign-id>
}
Traceback (most recent call last):
File "c:\Users\User\main.py", line 36, in <module>
print(dict(row))
TypeError: 'GoogleAdsRow' object is not iterable
我尝试使用 google.protobuf.json_format 将结果转换为 json/dict 格式,代码如下
from google.protobuf.json_format import MessageToJson
response = ga_service.search_stream(customer_id=customer_id, query=query)
for batch in response:
for row in batch.results:
print(row)
jsonobj = MessageToJson(row)
但我收到以下错误信息:
File "C:\Users\User\AppData\Local\Programs\Python\Python39\lib\site-packages\proto\message.py", line 605, in __getattr__
raise AttributeError(str(ex))
AttributeError: 'DESCRIPTOR'
你能帮我解决这个问题吗?谢谢。
抱歉打扰了,但我找到了 this question 并得到了我问题的答案。
我将我的代码更改为以下(将 ._pb 添加到响应中):
response = ga_service.search(customer_id=customer_id, query=query)
dictobj = MessageToDict(response._pb)
df = pd.json_normalize(dictobj,record_path=['results'])
print(df)
而且有效!