Create a DataFrame from the dictionary data, indexed by the list labels.

The animals data has columns animal, age, visits, priority and index a..j. Return the resulting DataFrame.

Input

data =
{'animal': ['cat', 'cat', 'snake', 'dog', 'dog', 'cat', 'snake', 'cat', 'dog', 'dog'],
 'age': [2.5, 3, 0.5, nan, 5, 2, 4.5, nan, 7, 3],
 'visits': [1, 3, 2, 3, 2, 3, 1, 1, 2, 1],
 'priority': ['yes', 'yes', 'no', 'yes', 'no', 'no', 'no', 'yes', 'no', 'no']}
labels = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']

Output

  animal  age  visits priority
a    cat  2.5       1      yes
b    cat  3.0       3      yes
c  snake  0.5       2       no
d    dog  NaN       3      yes
e    dog  5.0       2       no
f    cat  2.0       3       no
g  snake  4.5       1       no
h    cat  NaN       1      yes
i    dog  7.0       2       no
j    dog  3.0       1       no