在 Pandas 数据框上迭代 Google 分析 API 函数

Question

我有一个数据框 (f) 输入：页面标题 (title_)、开始日期 ('date_') 和结束日期 (date_date)，我想迭代 Google analytics API get_report 在 DataFrame 的每一行上运行，以获取结果的新 DataFrame。

这是我的代码：

for i in f.index:
    lista = []
    df = print_response(get_report(
             config.service,  
             start_date=[f.loc[i]['date_']],
             end_date=[f.loc[i]['date_date']], 
             view_id='xxxxxxxx',
             metrics=[{'expression': 'ga:pageViews'}],
             dimensionFilterClauses= [{
                      "filters": [{
                              "dimensionName": "ga:pageTitle",
                              "expressions": [f.loc[i]['title_']]}]
              }],
             dimensions=[{"name": "ga:pageTitle"}]))
    lista.append(df)
    time.sleep(2)
print(lista)

我收到错误：

TypeError: Object of type 'date' is not JSON serializable

我的代码有什么问题，如何将输出结构化为 DataFrame？

[更新] 那是我的 get_report 功能：

def get_report(analytics, start_date, end_date, view_id, metrics, dimensions, dimensionFilterClauses):
  return analytics.reports().batchGet(
      body={
        "reportRequests":[
        {
                "viewId": view_id,
                "dateRanges":[{"startDate":start_date,"endDate":end_date}],
                "metrics":metrics,
                "dimensions": dimensions,
                "dimensionFilterClauses": dimensionFilterClauses,
        }]
      }).execute()

Answer 1

您是否尝试过遵循 quick start

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

  Args:
    response: An 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', [])

    for row in report.get('data', {}).get('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):
        print 'Date range: ' + str(i)
        for metricHeader, value in zip(metricHeaders, values.get('values')):
          print metricHeader.get('name') + ': ' + value

在 Pandas 数据框上迭代 Google 分析 API 函数

Iterating Google analytics API function on a Pandas Dataframe

python

google-analytics

google-analytics-api

google-api-python-client