def crime_comparisons(dataframe, crimes_obj): '''Handles the functionalities of different crime comparisons''' GUI4.start_user_interface() crime_1, crime_2 = GUI4.get_crimes() crimes_per_student_state = handlers.average_crimes_per_student_by_category(dataframe, 'State', crimes_obj, overall_average = True) crimes_per_student_sector = handlers.average_crimes_per_student_by_category(dataframe, 'Sector_desc', crimes_obj, overall_average = True) pltparam = plotting.pltParam() answers_obj = plots.Answers(crimes_obj, None, pltparam, None, None, crimes_per_student_state) answers_obj.visualize_answer4(crime_1, crime_2) answers_obj = plots.Answers(crimes_obj, None, pltparam, None, None, crimes_per_student_sector) answers_obj.visualize_answer4(crime_1, crime_2)
def crime_comparisons(dataframe, crimes_obj): '''Handles the functionalities of different crime comparisons''' GUI4.start_user_interface() crime_1, crime_2 = GUI4.get_crimes() if len(crime_1) == 0: print "Thank you for using the software" exit() crimes_per_student_state = handlers.average_crimes_per_student_by_category(dataframe, 'State', crimes_obj, overall_average = True) crimes_per_student_sector = handlers.average_crimes_per_student_by_category(dataframe, 'Sector_desc', crimes_obj, overall_average = True) pltparam = plotting.pltParam() answers_obj_state = plots.Answers(crimes_obj, None, pltparam, None, None, crimes_per_student_state) state_wide_output = answers_obj_state.visualize_answer4(crime_1, crime_2, 'State') answers_obj_sector = plots.Answers(crimes_obj, None, pltparam, None, None, crimes_per_student_sector) sector_wide_output = answers_obj_sector.visualize_answer4(crime_1, crime_2, 'Sector') return crime_1, crime_2, state_wide_output, sector_wide_output
def crime_comparisons(dataframe, crimes_obj):
'''Handles the functionalities of different crime comparisons'''
GUI4.start_user_interface()
crime_1, crime_2 = GUI4.get_crimes()
crimes_per_student_state = handlers.average_crimes_per_student_by_category(
dataframe, 'State', crimes_obj, overall_average=True)
crimes_per_student_sector = handlers.average_crimes_per_student_by_category(
dataframe, 'Sector_desc', crimes_obj, overall_average=True)
pltparam = plotting.pltParam()
answers_obj_state = plots.Answers(crimes_obj, None, pltparam, None, None,
crimes_per_student_state)
state_wide_output = answers_obj_state.visualize_answer4(
crime_1, crime_2, 'State')
answers_obj_sector = plots.Answers(crimes_obj, None, pltparam, None, None,
crimes_per_student_sector)
sector_wide_output = answers_obj_sector.visualize_answer4(
crime_1, crime_2, 'Sector')
return crime_1, crime_2, state_wide_output, sector_wide_output
def crime_comparisons():
'''Handles the functionalities of different crime comparisons'''
GUI4.start_user_interface()
print GUI4.get_crimes()
def crime_comparisons(): '''Handles the functionalities of different crime comparisons''' GUI4.start_user_interface() print GUI4.get_crimes()