List Unique Values In A pandas Column
Special thanks to Bob Haffner for pointing out a better way of doing it.
Preliminaries
/* Import modules */
import pandas as pd
/* Set ipython's max row display */
pd.set_option('display.max_row', 1000)
/* Set iPython's max column width to 50 */
pd.set_option('display.max_columns', 50)Create an example dataframe
/* Create an example dataframe */
data = {'name': ['Jason', 'Molly', 'Tina', 'Jake', 'Amy'],
'year': [2012, 2012, 2013, 2014, 2014],
'reports': [4, 24, 31, 2, 3]}
df = pd.DataFrame(data, index = ['Cochice', 'Pima', 'Santa Cruz', 'Maricopa', 'Yuma'])
df| name | year | reports | |
|---|---|---|---|
| Cochice | Jason | 2012 | 4 |
| Pima | Molly | 2012 | 24 |
| Santa Cruz | Tina | 2013 | 31 |
| Maricopa | Jake | 2014 | 2 |
| Yuma | Amy | 2014 | 3 |
List unique values
/* List unique values in the df['name'] column */
df.name.unique()array(['Jason', 'Molly', 'Tina', 'Jake', 'Amy'], dtype=object)
Python Example for Beginners
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