How to get group from groupby by key?

Hello, I am having trouble accessing a specific group from my pandas DataFrame using the groupby() method. I have grouped my DataFrame by the ‘A’ column, and now I am trying to access the group with the key ‘foo’. I have tried using the .get_group() method, but it returns the group as expected. When I try to access the group by using the syntax , I receive an AttributeError saying that the object has no attribute ‘foo’. I am not sure what I am doing wrong or if there is an alternative way to access the group. Can someone please help me understand how to access a specific group using groupby() in pandas? Thank you!

import pandas as pd

# create a sample DataFrame
df = pd.DataFrame({'A': ['foo', 'bar', 'foo', 'bar',
                         'foo', 'bar', 'foo', 'foo'],
                   'B': ['one', 'one', 'two', 'three',
                         'two', 'two', 'one', 'three'],
                   'C': [1, 2, 3, 4, 5, 6, 7, 8],
                   'D': [10, 20, 30, 40, 50, 60, 70, 80]})

# group the DataFrame by column A
grouped = df.groupby('A')

# get the group with key 'foo'
foo_group =

AttributeError: 'DataFrameGroupBy' object has no attribute 'foo'

Hello @nimrah, you can easily get an individual group from grouped data using the get_group() method, it is the simplest way to get a particular group from a groupby() data by using the key. This method returns a dataframe containing all rows of the specified group. Here is an example code: