要从Google Analytics导出不同的事件到BigQuery，可以使用BigQuery Export for Google Analytics 360或使用Google Analytics Reporting API和BigQuery API的组合来实现。下面是一种解决方法的示例代码：

1. 使用BigQuery Export for Google Analytics 360：

首先，确保已启用BigQuery Export for Google Analytics 360。然后，可以通过以下方式将Google Analytics数据导出到BigQuery：

from google.cloud import bigquery

# 设置Google Cloud项目ID和BigQuery数据集
project_id = 'your-project-id'
dataset_id = 'your-dataset-id'

# 创建BigQuery客户端
client = bigquery.Client(project=project_id)

# 设置导出的表名称和导出配置
table_name = 'your-table-name'
export_config = {
    'tableId': table_name,
    'datasetId': dataset_id,
    'projectId': project_id
}

# 创建导出作业
job = client.create_export_job('your-analytics-export-id', export_config)

# 等待导出作业完成
job.result()

# 检查导出作业状态
if job.state == 'DONE':
    print('数据导出成功！')
else:
    print('数据导出失败！')

2. 使用Google Analytics Reporting API和BigQuery API的组合：

首先，确保已启用Google Analytics Reporting API和BigQuery API。然后，可以使用以下示例代码将Google Analytics数据导出到BigQuery：

from google.oauth2 import service_account
from googleapiclient.discovery import build
from google.cloud import bigquery

# 设置Google Cloud项目ID和BigQuery数据集
project_id = 'your-project-id'
dataset_id = 'your-dataset-id'

# 创建BigQuery客户端
client = bigquery.Client(project=project_id)

# 设置Google Analytics帐户凭据
credentials = service_account.Credentials.from_service_account_file('your-service-account-key.json')

# 创建Google Analytics Reporting API客户端
ga_service = build('analyticsreporting', 'v4', credentials=credentials)

# 查询Google Analytics事件数据
response = ga_service.reports().batchGet(
    body={
        'reportRequests': [
            {
                'viewId': 'your-view-id',
                'dateRanges': [{'startDate': '2022-01-01', 'endDate': '2022-01-31'}],
                'metrics': [{'expression': 'ga:totalEvents'}],
                'dimensions': [{'name': 'ga:eventCategory'}, {'name': 'ga:eventAction'}, {'name': 'ga:eventLabel'}],
                'pageSize': 10000
            }
        ]
    }
).execute()

# 处理Google Analytics事件数据并导入到BigQuery
rows = response['reports'][0]['data']['rows']
table = client.get_table(f'{project_id}.{dataset_id}.your-table-name')
rows_to_insert = []
for row in rows:
    event_category = row['dimensions'][0]
    event_action = row['dimensions'][1]
    event_label = row['dimensions'][2]
    total_events = row['metrics'][0]['values'][0]
    rows_to_insert.append((event_category, event_action, event_label, total_events))
client.insert_rows(table, rows_to_insert)

print('数据导入成功！')

请注意，上述代码示例中的某些值需要根据您的实际情况进行替换，例如项目ID、数据集ID、表名称、视图ID、日期范围等。还需要创建具有适当权限的服务账号密钥文件（your-service-account-key.json）供身份验证使用。