%matplotlib inline
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
raw_data = {'first_name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'],
'last_name': ['Miller', 'Jacobson', 'Ali', 'Milner', 'Cooze'],
'age': [42, 52, 36, 24, 73],
'preTestScore': [4, 24, 31, 2, 3],
'postTestScore': [25, 94, 57, 62, 70]}
df = pd.DataFrame(raw_data, columns = ['first_name', 'last_name', 'age', 'preTestScore', 'postTestScore'])
df
first_name | last_name | age | preTestScore | postTestScore | |
---|---|---|---|---|---|
0 | Jason | Miller | 42 | 4 | 25 |
1 | Molly | Jacobson | 52 | 24 | 94 |
2 | Tina | Ali | 36 | 31 | 57 |
3 | Jake | Milner | 24 | 2 | 62 |
4 | Amy | Cooze | 73 | 3 | 70 |
5 rows × 5 columns
df['preTestScore'].idxmax()
2