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 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 test_all_crimes_per_student_over_years(self): '''The function tests the valid responses of the crime per student function''' self.college_instance = handlers.college_details(self.dataframe, self.valid_university_name, self.valid_branch_name) self.college_obj = coll.College(self.college_instance, self.crimes_object) self.test_data1 = handlers.all_crimes_per_student_over_years(self.college_obj, self.crimes_object, True, False) self.assertEquals(len(self.test_data1['MURD']), 3)
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 test_all_crimes_per_student_over_years(self):
'''The function tests the valid responses of the crime per student function'''
self.college_instance = handlers.college_details(
self.dataframe, self.valid_university_name, self.valid_branch_name)
self.college_obj = coll.College(self.college_instance,
self.crimes_object)
self.test_data1 = handlers.all_crimes_per_student_over_years(
self.college_obj, self.crimes_object, True, False)
self.assertEquals(len(self.test_data1['MURD']), 3)
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)
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import handlers
import college
if __name__ == '__main__':
'''Handling the functionalities'''
dataframe, crimes_obj = handlers.data_initialization("data/oncampuscrime101112_cleaned.csv")
coll =college.College(pd.Series({"a":3},crimes_obj))
university_name = "University of Alabama in Huntsville"
branch_name = "Main_Campus"
college_instance = handlers.college_details(dataframe, university_name, branch_name)
college_obj = coll.College(college_instance, crimes_obj)
crime_per_student = handlers.all_crimes_per_student_over_years("On Campus", "Crime", college_instance, crimes_obj)
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")
for key in data.keys():
output = output.set_value(key, (data[key])[category] )
return output
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")
output = output.set_value(key, (data[key])[category])
return output
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)
