Hello, I am tried to clone date range geographic view report by python 
But when I want to segments city, county, (province, canton, state) at the 
same time, It will return an empty file.I can only segment by city and 
county.
Is there a way to query city county sate level at the same time? And also 
showing the name of the city, the name of the sate. not the id.

thanks


sample code is below:

ga_service = client.get_service("GoogleAdsService")
    # GAQL query create
    query = """
        SELECT segments.geo_target_city,
            geographic_view.country_criterion_id,
            segments.geo_target_region,
            metrics.impressions, 
            campaign.name, 
            campaign.id, 
            ad_group.name, 
            metrics.clicks, 
            metrics.cost_micros, 
            metrics.conversions, 
            metrics.conversions_value 
        FROM geographic_view
        WHERE segments.date BETWEEN '"""  + start_date + """' AND '""" + 
end_date + """'
    """
    
    # name of the city (not id)
    
    # create empty data frame
    # igonre metro as this time
    column_names = ['City',
                'Country/Territory',
                'segments.geo_target_region',
                'Impressions',
                'Campaign',
                'Campaign ID',
                'Ad group',
                'Clicks',
                'Cost',
                'Conversions',
                'Total conv. value']

    df = pd.DataFrame(columns = column_names)
                                    
    # Issues a search request using streaming.
    search_request = client.get_type("SearchGoogleAdsStreamRequest")
    search_request.customer_id = customer_id
    search_request.query = query
    stream = ga_service.search_stream(search_request)
    query_lists = []
    for batch in stream:
        #print(batch)
        for row in batch.results:
            geographic_view = row.geographic_view
            segments = row.segments
            campaign = row.campaign
            metrics = row.metrics
            ad_group = row.ad_group
            
            query_list = [segments.geo_target_city,
                          
            geographic_view.country_criterion_id,
                          segments.geo_target_region,
                          segments.geo_target_canton,
            metrics.impressions, 
            campaign.name, 
            campaign.id, 
            ad_group.name, 
            metrics.clicks, 
            metrics.cost_micros, 
            metrics.conversions, 
            metrics.conversions_value]
            query_lists.append(query_list)

    df = pd.DataFrame(np.array(query_lists), columns=column_names)

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