import pandas as pd
data = {'name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'],
'year': [2012, 2012, 2013, 2014, 2014],
'reports': [4, 24, 31, 2, 3],
'coverage': [25, 94, 57, 62, 70]}
df = pd.DataFrame(data, index = ['Cochice', 'Pima', 'Santa Cruz', 'Maricopa', 'Yuma'])
df
coverage | name | reports | year | |
---|---|---|---|---|
Cochice | 25 | Jason | 4 | 2012 |
Pima | 94 | Molly | 24 | 2012 |
Santa Cruz | 57 | Tina | 31 | 2013 |
Maricopa | 62 | Jake | 2 | 2014 |
Yuma | 70 | Amy | 3 | 2014 |
5 rows × 4 columns
df['coverageRanked'] = df['coverage'].rank(ascending=1)
df
coverage | name | reports | year | coverageRanked | |
---|---|---|---|---|---|
Cochice | 25 | Jason | 4 | 2012 | 1 |
Pima | 94 | Molly | 24 | 2012 | 5 |
Santa Cruz | 57 | Tina | 31 | 2013 | 2 |
Maricopa | 62 | Jake | 2 | 2014 | 3 |
Yuma | 70 | Amy | 3 | 2014 | 4 |
5 rows × 5 columns