def university_crime_explorer(dataframe):
'''Handles the features of first GUI'''
GUI.start_user_interface(dataframe)
university_name = GUI.get_uni()
branch_name = GUI.get_branch()
print "Details about %s (%s) is being generated. Please wait..." % (
university_name, branch_name)
college_instance = handlers.college_details(dataframe, university_name,
branch_name)
college_obj = coll.College(college_instance, crimes_obj)
crime_per_student_without_average = handlers.all_crimes_per_student_over_years(
college_obj, crimes_obj) # Question 1
crime_per_student_with_average = handlers.all_crimes_per_student_over_years(
college_obj, crimes_obj, average=True) # Question 2
crimes_per_student_by_category = handlers.average_crimes_per_student_by_category(
dataframe, 'State', crimes_obj) # Question 3
pltparam = plotting.pltParam()
answers_obj = plots.Answers(crimes_obj, college_obj, pltparam,
crime_per_student_without_average,
crime_per_student_with_average,
crimes_per_student_by_category)
answers_obj.visualize_answer1()
answers_obj.pieChart(crime_per_student_with_average)
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 category_wise_crime(dataframe, crimes_obj):
'''Handles the functionalities of crimes by different categories'''
GUI3.start_user_interface(dataframe)
category, specific_choice = GUI3.get_choices()
crimes_per_student_by_category = handlers.average_crimes_per_student_by_category(
dataframe, category, crimes_obj, overall_average=True)
pltparam = plotting.pltParam()
answers_obj = plots.Answers(crimes_obj, None, pltparam, None, None, None)
bar_chart = answers_obj.simpleBarChart(crimes_per_student_by_category,
specific_choice)
return bar_chart, specific_choice
def get_university_crime_details_and_plot(dataframe, college_obj, crimes_obj):
'''Computes and generates the plots for the university'''
crime_per_student_without_average = handlers.all_crimes_per_student_over_years(
college_obj, crimes_obj) # Question 1
crime_per_student_with_average = handlers.all_crimes_per_student_over_years(
college_obj, crimes_obj, average=True) # Question 2
crimes_per_student_by_category = handlers.average_crimes_per_student_by_category(
dataframe, 'State', crimes_obj, overall_average=True)
pltparam = plotting.pltParam()
answers_obj = plots.Answers(crimes_obj, college_obj, pltparam,
crime_per_student_without_average,
crime_per_student_with_average,
crimes_per_student_by_category)
multibar_plot = answers_obj.visualize_answer1()
pie_chart = answers_obj.pieChart(crime_per_student_with_average)
return multibar_plot, pie_chart
if __name__ == '__main__':
p = pltParam()
university_name = "Harvard University"
branch_name = "Main Campus"
dataframe, crimes_obj = handlers.data_initialization(
"data/oncampuscrime101112_cleaned.csv")
college_instance = handlers.college_details(dataframe, university_name,
branch_name)
college_obj = coll.College(college_instance, crimes_obj)
crime_per_student_without_average = handlers.all_crimes_per_student_over_years(
college_obj, crimes_obj) # Question 1
crime_per_student_with_average = handlers.all_crimes_per_student_over_years(
college_obj, crimes_obj, average=True) # Question 2
crimes_per_student_by_category = handlers.average_crimes_per_student_by_category(
dataframe, 'State', crimes_obj) # Question 3
pltparam = plotting.pltParam()
answers_obj = plots.Answers(crimes_obj, college_obj, pltparam,
crime_per_student_without_average,
crime_per_student_with_average,
crimes_per_student_by_category)
d = handlers.average_crimes_per_student_by_category(dataframe,
'State',
crimes_obj,
overall_average=True)
answers_obj.simpleBarChart(d, "MA")