Answered by : wideeyed-wombat-j8eoy9er89v7

for col in df: print(df[col].unique())

Source : https://stackoverflow.com/questions/27241253/print-the-unique-values-in-every-column-in-a-pandas-dataframe | Last Update : Thu, 27 Aug 20

Answered by : donpech

##finding the Unique values in data ie: Age
df['Age'].unique()

Source : | Last Update : Tue, 15 Mar 22

Answered by : itsmycode

# import pandas library
import pandas as pd
# create pandas DataFrame
df = pd.DataFrame({'fruits': ['orange', 'mango', 'apple', 'grapes', 'orange', 'mango'], 'price': ['40', '80', '30', '40', '30', '80'], 'quantity': ['200', '300', '300', '400', '200', '800'] })
# get the unique value of column fruits
print(df.fruits.unique())

Source : https://itsmycode.com/pandas-how-to-find-unique-values-in-a-column/ | Last Update : Sat, 22 Jan 22

Answered by : david-k

# 10. Getting unique names of values in a column
df['Airline'].unique()

Source : https://jyoti05iitd.medium.com/python-pandas-cheat-sheet-30-functions-methods-b1176f2e37da | Last Update : Thu, 06 Oct 22

Answered by : david-k

# 10. Getting unique names of values in a column
df['Airline'].unique()

Source : https://datalore.jetbrains.com/view/notebook/YBMhyPow1QzTo19oPQtsNM | Last Update : Thu, 06 Oct 22