Write a Python program to create and display a DataFrame from a specified dictionary data which has the index labels.
Sample DateFrame:
exam_data = {
'name': ['Anastasia', 'Dima', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', 'Kevin', 'Jonas'],
'score': [12.5, 9, 16.5, numpy.nan, 9, 20, 14.5, numpy.nan, 8, 19],
'attempts': [1, 3, 2, 3, 2, 3, 1, 1, 2, 1],
'qualify': ['yes', 'no', 'yes', 'no', 'no', 'yes', 'yes', 'no', 'no', 'yes']
}
labels = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']
Sample Output:
attempts | name | qualify | score | |
---|---|---|---|---|
a | 1 | Anastasia | yes | 12.5 |
b | 3 | Dima | no | 9.0 |
c | 2 | Katherine | yes | 16.5 |
d | 3 | James | no | NaN |
e | 2 | Emily | no | 9.0 |
f | 3 | Michael | yes | 20.0 |
g | 1 | Matthew | yes | 14.5 |
h | 1 | Laura | no | NaN |
i | 2 | Kevin | no | 8.0 |
j | 1 | Jonas | yes | 19.0 |