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)