Display Unique Values Present in Each Column of Pandas DataFrame

To display unique values in each column, use the unique() method and set the column within it. At first, import the required library −

import pandas as pd

Create a DataFrame with two columns and duplicate records −

dataFrame = pd.DataFrame(
   {
      "Student": ['Jack', 'Robin', 'Ted', 'Robin', 'Scarlett', 'Kat', 'Ted'],"Result": ['Pass', 'Fail', 'Pass', 'Fail', 'Pass', 'Pass', 'Pass']
   }
)

Find unique values by setting each column in the unique() method −

resStudent = pd.unique(dataFrame.Student)
resResult = pd.unique(dataFrame.Result)

Example

Following is the code −

import pandas as pd


# Create DataFrame
dataFrame = pd.DataFrame(
   {
      "Student": ['Jack', 'Robin', 'Ted', 'Robin', 'Scarlett', 'Kat', 'Ted'],"Result": ['Pass', 'Fail', 'Pass', 'Fail', 'Pass', 'Pass', 'Pass']
   }
)

print"DataFrame ...\n",dataFrame

# finding unique values
resStudent = pd.unique(dataFrame.Student)
resResult = pd.unique(dataFrame.Result)

print"\nUnique values in Student Column", resStudent
print"\nUnique values in Result Column", resResult

Output

This will produce the following output −

DataFrame ...
   Result   Student
0    Pass      Jack
1    Fail     Robin
2    Pass       Ted
3    Fail     Robin
4    Pass  Scarlett
5    Pass       Kat
6    Pass       Ted

Unique values in Student Column ['Jack' 'Robin' 'Ted' 'Scarlett' 'Kat']

Unique values in Result Column ['Pass' 'Fail']