Hey Team,
I got a different result when adding 'Query' attribute to pull seach query
performance report.
Check the code below, the total cost for ad group id 56257520389
is 161890000. However, when I query ['Query', 'AdGroupId', 'Cost'], the
cost turned out to be 159570000.
Is this expected? If not, any idea about how to fix it?
import pandas as pd
def _get_report_selector(self, name, report_type, fields):
campaign_report = {
'reportName': name,
'dateRangeType': 'CUSTOM_DATE',
'reportType': report_type,
'downloadFormat': 'CSV',
'selector': { 'fields': fields, 'dateRange': { 'min': '2019-04-19'),
'max': '2019-04-19' } } }
return campaign_report
self.client.SetClientCustomerId('984-844-9049')
query_report = self._get_report_selector( _QUERY_DAILY_INSIGHTS_NAME,
_QUERY_REPORT_TYPE, [ 'AdGroupId', 'Cost', ] )
insightsCSV = pd.read_csv(self.report_downloader.DownloadReportAsStream(
report, skip_report_header=True, skip_column_header=False,
skip_report_summary=True))
insightsCSV.columns = [column.replace(" ", "_") for column in
insightsCSV.columns]
filtered_insight = insightsCSV.query('Ad_group_ID == 56257520389')
filtered_insight['Cost'].sum()
Best,
Ruby
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