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 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
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 setUp(self):
self.p = plottingParameters.pltParam()
self.clrs = self.p.getColors(5)
self.bigColors = self.p.getColors(100)
# variables for testing alternating dictionary
self.validInputAlternating1 = {"a": 3, "b": 2, "c": 5}
self.validInputAlternating2 = {"a": 2, "b": 3, "c": 5}
self.validInputAlternating3 = {"a": 2, "b": 3, "c": 5, "d": -3}
self.validInputAlternating4 = {"d": 5, "c": 4, "b": 3, "a": -2}
self.invalidInputAlternating1 = "word,yo"
self.invalidInputAlternating2 = -3.14
#variables for checking fontSizeMaker
self.validSmallTick = 3
self.validBigTick = 100
def setUp(self):
self.p= plottingParameters.pltParam()
self.clrs =self.p.getColors(5)
self.bigColors= self.p.getColors(100)
# variables for testing alternating dictionary
self.validInputAlternating1={"a":3,"b":2,"c":5}
self.validInputAlternating2={"a":2,"b":3,"c":5}
self.validInputAlternating3={"a":2,"b":3,"c":5,"d":-3}
self.validInputAlternating4={"d":5,"c":4,"b":3,"a":-2}
self.invalidInputAlternating1= "word,yo"
self.invalidInputAlternating2= -3.14
#variables for checking fontSizeMaker
self.validSmallTick =3
self.validBigTick =100
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 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
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 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)
