def test_class_total():
assert class_total([{'국어': 100}], '국어') == 100
assert class_total([{'국어': 100}, {'국어': 80}], '국어') == 180
assert class_total([{
'국어': 100,
'영어': 90
}, {
'국어': 80,
'영어': 20
}], '국어') == 180
assert class_total([
{
'국어': 100,
'영어': 90,
'수학': 95
},
{
'국어': 80,
'영어': 20,
'수학': 100
},
{
'국어': 10,
'영어': 20,
'수학': 30
},
], '국어') == 190
def main():
class_scores = [{
'Name': 'Jane',
'Korean': 100,
'English': 100,
'Math': 100
}, {
'Name': 'Brown',
'Korean': 10,
'English': 20,
'Math': 30
}]
total = {'Name': '<Total>'}
for subject in ['Korean', 'English', 'Math']:
total[subject] = class_total(class_scores, subject)
avg = {'Name': '<Average>'}
for subject in ['Korean', 'English', 'Math']:
avg[subject] = class_avg(class_scores, subject)
table = pd.DataFrame(class_scores + [total] + [avg],
columns=['Name', 'Korean', 'English', 'Math'])
table["Average"]
table["Total"]
print(table)
def main():
class_scores = [{
'Name': 'Jane',
'Korean': 100,
'English': 100,
'Math': 100
}, {
'Name': 'Brown',
'Korean': 10,
'English': 20,
'Math': 30
}]
total = {'Name': '<Total>'}
for subject in ['Korean', 'English', 'Math']:
total[subject] = class_total(class_scores, subject)
table = tabulate(class_scores + [total], 'keys', 'fancy_grid')
print(table)
print()
table = pd.DataFrame(class_scores + [total],
columns=['Name', 'Korean', 'English', 'Math'])
print(table)
print()