Ejemplo n.º 1
0
 def test_us_age(self):
     input = {
         "country/USA": [
             "Count_Person_Upto4Years", "Count_Person_5To9Years",
             "Count_Person_10To14Years", "Count_Person_15To19Years",
             "Count_Person_20To24Years", "Count_Person_25To29Years",
             "Count_Person_30To34Years", "Count_Person_35To39Years",
             "Count_Person_40To44Years", "Count_Person_45To49Years",
             "Count_Person_50To54Years", "Count_Person_55To59Years",
             "Count_Person_60To64Years", "Count_Person_65To69Years",
             "Count_Person_70To74Years", "Count_Person_75To79Years",
             "Count_Person_80OrMoreYears", "Count_Person_5To17Years",
             "Count_Person_18To24Years", "Count_Person_25To34Years",
             "Count_Person_35To44Years", "Count_Person_45To54Years",
             "Count_Person_55To59Years", "Count_Person_60To61Years",
             "Count_Person_62To64Years", "Count_Person_65To74Years",
             "Count_Person_65OrMoreYears", "Count_Person_75OrMoreYears"
         ]
     }
     expected = {
         'country/USA': {
             'Count_Person_5To17Years': ['Count_Person_5To17Years'],
             'Count_Person_18To24Years': ['Count_Person_18To24Years'],
             'Count_Person_25To34Years': ['Count_Person_25To34Years'],
             'Count_Person_35To44Years': ['Count_Person_35To44Years'],
             'Count_Person_45To54Years': ['Count_Person_45To54Years'],
             'Count_Person_55To64Years': [
                 'Count_Person_55To59Years', 'Count_Person_60To61Years',
                 'Count_Person_62To64Years'
             ],
             'Count_Person_65To74Years': ['Count_Person_65To74Years'],
             'Count_Person_75OrMoreYears': ['Count_Person_75OrMoreYears']
         }
     }
     assert lib_range.aggregate_stat_var(input, lib_range.AGE) == expected
Ejemplo n.º 2
0
def get_stat_var_group(cc, data, places):
    """Get the stat var grouping for aggregation."""
    if 'aggregate' in cc:
        agg_type = lib_range.get_aggregate_config(cc['aggregate'])
        place_stat_vars = defaultdict(list)
        for place in places:
            if place not in data or 'data' not in data[place]:
                continue
            for sv in cc['statsVars']:
                if sv in data[place]['data']:
                    place_stat_vars[place].append(sv)
        result = lib_range.aggregate_stat_var(place_stat_vars, agg_type)
        for place in places:
            if place not in result:
                result[place] = {}
    else:
        result = {}
        for place in places:
            result[place] = {sv: [sv] for sv in cc['statsVars']}
    return result