Question

所以我使用了Hello Analytics python脚本的略微修改版本。

唯一的区别是我还有一些＆＃34;表达式＆＃34;在指标中，我尝试添加维度。一切正常，除非我在最后一个for循环中打印出所有内容，它只显示最后一个维度。

因此，我没有获得包含指标的所有维度的列表，而是仅获取最后一个维度。

ga:city: Ho Chi Minh City
ga:users: 19
ga:newUsers: 19
ga:sessionsPerUser: 1.263157894736842
ga:sessions: 24
ga:bounces: 18
ga:bounceRate: 75.0
ga:avgSessionDuration: 40.708333333333336

以下是代码示例

"""Hello Analytics Reporting API V4."""

import argparse

from apiclient.discovery import build
import httplib2
from oauth2client import client
from oauth2client import file
from oauth2client import tools

SCOPES = ['https://www.googleapis.com/auth/analytics.readonly']
DISCOVERY_URI = ('https://analyticsreporting.googleapis.com/$discovery/rest')
CLIENT_SECRETS_PATH = 'client_secrets.json' # Path to client_secrets.json file.
VIEW_ID = '170823765'


def initialize_analyticsreporting():
  """Initializes the analyticsreporting service object.

  Returns:
    analytics an authorized analyticsreporting service object.
  """
  # Parse command-line arguments.
  parser = argparse.ArgumentParser(
      formatter_class=argparse.RawDescriptionHelpFormatter,
      parents=[tools.argparser])
  flags = parser.parse_args([])

  # Set up a Flow object to be used if we need to authenticate.
  flow = client.flow_from_clientsecrets(
      CLIENT_SECRETS_PATH, scope=SCOPES,
      message=tools.message_if_missing(CLIENT_SECRETS_PATH))

  # Prepare credentials, and authorize HTTP object with them.
  # If the credentials don't exist or are invalid run through the native client
  # flow. The Storage object will ensure that if successful the good
  # credentials will get written back to a file.
  storage = file.Storage('analyticsreporting.dat')
  credentials = storage.get()
  if credentials is None or credentials.invalid:
    credentials = tools.run_flow(flow, storage, flags)
  http = credentials.authorize(http=httplib2.Http())

  # Build the service object.
  analytics = build('analytics', 'v4', http=http, discoveryServiceUrl=DISCOVERY_URI)

  return analytics

def get_report(analytics):
    # Use the Analytics Service Object to query the Analytics Reporting API V4.
    return analytics.reports().batchGet(
        body={
            'reportRequests': [
                {
                    'viewId': VIEW_ID,
                    'dateRanges': [{'startDate': '30daysAgo', 'endDate': 'today'}],
                    'metrics': [
                        {'expression': 'ga:users'},
                        {'expression': 'ga:newUsers'},
                        {'expression': 'ga:sessionsPerUser'},
                        {'expression': 'ga:sessions'},
                        {'expression': 'ga:bounces'},
                        {'expression': 'ga:bounceRate'},
                        {'expression': 'ga:avgSessionDuration'},
                    ],
                    "dimensions": [
                        {"name": "ga:city"}
                    ]
                }
            ]
        }
    ).execute()


def print_response(response):
    """Parses and prints the Analytics Reporting API V4 response"""

    for report in response.get('reports', []):

        columnHeader = report.get('columnHeader', {})
        dimensionHeaders = columnHeader.get('dimensions', [])
        metricHeaders = columnHeader.get('metricHeader', {}).get('metricHeaderEntries', [])
        rows = report.get('data', {}).get('rows', [])


        for row in rows:
            dimensions = row.get('dimensions', [])
            dateRangeValues = row.get('metrics', [])

        for header, dimension in zip(dimensionHeaders, dimensions):
            print(header + ': ' + dimension)

        for i, values in enumerate(dateRangeValues):
            for metricHeader, value in zip(metricHeaders, values.get('values')):
                print(metricHeader.get('name') + ': ' + value)


def main():

  analytics = initialize_analyticsreporting()
  response = get_report(analytics)
  print_response(response)

if __name__ == '__main__':
  main()

我是谷歌分析和Python的新手，所以如果这是一个毫无疑问的问题我会道歉。

由于

Answer 1

我的间距是错误的。不习惯使用python错过了这个事实，我应该缩进部分，如果它通过结果并打印出来。

所以而不是

    for row in rows:
        dimensions = row.get('dimensions', [])
        dateRangeValues = row.get('metrics', [])

    for header, dimension in zip(dimensionHeaders, dimensions):
        print(header + ': ' + dimension)

    for i, values in enumerate(dateRangeValues):

        for metricHeader, value in zip(metricHeaders, values.get('values')):
            print(metricHeader.get('name') + ': ' + value)

应该是

 for row in rows:
            dimensions = row.get('dimensions', [])
            dateRangeValues = row.get('metrics', [])

            for header, dimension in zip(dimensionHeaders, dimensions):
                print(header + ': ' + dimension)

            for i, values in enumerate(dateRangeValues):

                for metricHeader, value in zip(metricHeaders, values.get('values')):
                    print(metricHeader.get('name') + ': ' + value)

使用Python的Google Analytics仅显示最后一个维度

1 个答案: