Writing your own functions (5/5)
But what if in our examples we pass as country argument some inappropriate name or name which does not exist in our dictionary? Let's predict it with some conditional statements!
1234567891011121314151617# data countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 'Germany': (357114, 83783942)} countries_dict["Brazil"] = (8515767, 212559417) countries_dict["India"] = (3166391, 1380004385) # modify our function def country_information_mod(d, name): if name not in d.keys(): print("There is no information about", name) else: print("Country:", name) print("Area:", d[name][0], 'sq km') print("Population:", round(d[name][1]/1000000, 2), 'mln') # test our function country_information_mod(countries_dict, "Ukraine") country_information_mod(countries_dict, "USA")
Swipe to start coding
Modify your previous function (name new as people_information_mod
) so now it will detect if the name is in the dictionary. If not, print "There is no information about name"
Solución
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Writing your own functions (5/5)
But what if in our examples we pass as country argument some inappropriate name or name which does not exist in our dictionary? Let's predict it with some conditional statements!
1234567891011121314151617# data countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 'Germany': (357114, 83783942)} countries_dict["Brazil"] = (8515767, 212559417) countries_dict["India"] = (3166391, 1380004385) # modify our function def country_information_mod(d, name): if name not in d.keys(): print("There is no information about", name) else: print("Country:", name) print("Area:", d[name][0], 'sq km') print("Population:", round(d[name][1]/1000000, 2), 'mln') # test our function country_information_mod(countries_dict, "Ukraine") country_information_mod(countries_dict, "USA")
Swipe to start coding
Modify your previous function (name new as people_information_mod
) so now it will detect if the name is in the dictionary. If not, print "There is no information about name"
Solución
¡Gracias por tus comentarios!
single
Awesome!
Completion rate improved to 2.33
Writing your own functions (5/5)
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But what if in our examples we pass as country argument some inappropriate name or name which does not exist in our dictionary? Let's predict it with some conditional statements!
1234567891011121314151617# data countries_dict = {'USA': (9629091, 331002651), 'Canada': (9984670, 37742154), 'Germany': (357114, 83783942)} countries_dict["Brazil"] = (8515767, 212559417) countries_dict["India"] = (3166391, 1380004385) # modify our function def country_information_mod(d, name): if name not in d.keys(): print("There is no information about", name) else: print("Country:", name) print("Area:", d[name][0], 'sq km') print("Population:", round(d[name][1]/1000000, 2), 'mln') # test our function country_information_mod(countries_dict, "Ukraine") country_information_mod(countries_dict, "USA")
Swipe to start coding
Modify your previous function (name new as people_information_mod
) so now it will detect if the name is in the dictionary. If not, print "There is no information about name"
Solución
¡Gracias por tus comentarios!