def displayIncomeByGender():
data_list = Validation().fileValidation()
list_size = len(data_list)
incomes = []
female_income = 0
male_income = 0
for element in range(0, list_size):
if data_list[element][1] == "F":
female_income += int(data_list[element][5])
elif data_list[element][1] == "M":
male_income += int(data_list[element][5])
incomes.append(female_income)
incomes.append(male_income)
plt.title("Male and Female Income Ratio")
labels = 'Female Income', 'Male Income'
sizes = incomes
colors = ['pink', 'blue']
plt.pie(sizes,
labels=labels,
colors=colors,
autopct='%1.1f%%',
shadow=True,
startangle=90)
plt.axis('equal')
plt.show()
def displayAgeGroupIncome():
data_list = Validation().fileValidation()
list_size = len(data_list)
incomes = []
under_30_income = 0
between30_50_income = 0
above50_income = 0
for element in range(0, list_size):
if int(data_list[element][2]) > 0 \
and int(data_list[element][2]) <= 30:
under_30_income += int(data_list[element][5])
elif int(data_list[element][2]) > 30 \
and int(data_list[element][2]) <= 50:
between30_50_income += int(data_list[element][5])
elif int(data_list[element][2]) > 50:
above50_income += int(data_list[element][5])
incomes.append(under_30_income)
incomes.append(between30_50_income)
incomes.append(above50_income)
plt.title("Age Group and Income Ratio")
labels = 'Age under 30', 'Age between 31-50', 'Age above 50'
sizes = incomes
colors = ['Blue', 'Green', 'Orange']
plt.pie(sizes, labels=labels, colors=colors,
autopct='%1.1f%%', shadow=True, startangle=90)
plt.axis('equal')
plt.show()
def do_saveObject(self, file_name):
try:
if file_name == "":
raise InvalidActionError("Please Enter a File Name")
else:
file_data = Validation().fileValidation()
with open(file_name + ".pickle", 'wb') as save_file:
pickle.dump(file_data, save_file)
print("Verified file saved as " + file_name + ".pickle")
except InvalidActionError as err:
print(err)
def displayBMIIncome():
data_list = Validation().fileValidation()
list_size = len(data_list)
incomes = []
count = []
normal_income = 0
overweight_income = 0
obesity_income = 0
underweight_income = 0
n_groups = 4
for element in range(0, list_size):
if data_list[element][4] == 'Normal':
normal_income += int(data_list[element][5])
elif data_list[element][4] == 'Overweight':
overweight_income += int(data_list[element][5])
elif data_list[element][4] == 'Obesity':
obesity_income += int(data_list[element][5])
elif data_list[element][4] == 'Underweight':
underweight_income += int(data_list[element][5])
incomes.append(normal_income)
incomes.append(overweight_income)
incomes.append(obesity_income)
incomes.append(underweight_income)
plt.title("BMI Group and Income Ratio")
fig, ax = plt.subplots()
bar_width = 0.35
opacity = 0.4
error_config = {'ecolor': '0.3'}
rects = plt.bar([index + bar_width for index in range(n_groups)],
incomes,
bar_width,
alpha=opacity,
color='r',
yerr=incomes,
error_kw=error_config,
label='Income')
plt.xlabel('BMI')
plt.ylabel('Income')
plt.xticks([index + bar_width for index in range(n_groups)],
('Normal', 'Overweight', 'Obesity', 'Underweight'))
plt.show()
def do_validate(self):
a = Validation()
a.fileValidation()
print('Done')
def do_validate(self):
a = Validation()
a.fileValidation()
print('Done')
def __init__(self, data_list=None, list_size=None):
from fileValidation import Validation
self.data_list = Validation().fileValidation()
self.list_size = len(self.data_list)
print(self.data_list)
def do_validate(self):
#from fileValidation import Validation
a = Validation()
a.fileValidation()
print('Done')
def do_validate(self):
#from fileValidation import Validation
a = Validation()
a.fileValidation()
print('Done')
def __init__(self):
data_list = Validation().fileValidation()
list_size = len(self.data_list)
incomes = []