Ranking Rows Of Pandas Dataframes
/* import modules */
import pandas as pd/* Create dataframe */
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
/* Create a new column that is the rank of the value of coverage in ascending order */
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
Python Example for Beginners
Two Machine Learning Fields
There are two sides to machine learning:
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- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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