StrikingLoo/adding_indicators.py

## 23 changes: 23 additions & 0 deletions adding_indicators.py
@@ -0,0 +1,23 @@

    def add_indicator_to(dictionary, indicator):
def add_indicator_to(dictionary, indicator):

        indicator_data = df[df['indicator_name']==indicator]
    indicator_data = df[df['indicator_name']==indicator]

        zipped_values = zip(list(indicator_data['iso3']), list(indicator_data['2017']))
    zipped_values = zip(list(indicator_data['iso3']), list(indicator_data['2017']))

        for k, v in zipped_values:
    for k, v in zipped_values:

            try:
        try:

                dictionary[k][indicator] = v
            dictionary[k][indicator] = v

            except:
        except:

                print("failed with key: "+k+" on "+indicator)
            print("failed with key: "+k+" on "+indicator)


    indic = {}
indic = {}

    indicators = [
indicators = [

        'Share of seats in parliament (% held by women)',
    'Share of seats in parliament (% held by women)',

        'Infants lacking immunization, measles (% of one-year-olds)',
    'Infants lacking immunization, measles (% of one-year-olds)',

        'Youth unemployment rate (female to male ratio)',
    'Youth unemployment rate (female to male ratio)',

        'Expected years of schooling (years)',
    'Expected years of schooling (years)',

           'Expected years of schooling, female (years)',
       'Expected years of schooling, female (years)',

           'Expected years of schooling, male (years)',
       'Expected years of schooling, male (years)',

        'Unemployment, total (% of labour force)',
    'Unemployment, total (% of labour force)',

           'Unemployment, youth (% ages 15–24)',
       'Unemployment, youth (% ages 15–24)',

           'Vulnerable employment (% of total employment)',
       'Vulnerable employment (% of total employment)',

    ]
]

    for indicator in indicators:
for indicator in indicators:

        add_indicator_to(indic, indicator)
    add_indicator_to(indic, indicator)